diff --git a/docs/notebooks/Llama_Stack_Benchmark_Evals.ipynb b/docs/notebooks/Llama_Stack_Benchmark_Evals.ipynb
index 77acc46dd..4810425d2 100644
--- a/docs/notebooks/Llama_Stack_Benchmark_Evals.ipynb
+++ b/docs/notebooks/Llama_Stack_Benchmark_Evals.ipynb
@@ -1,3120 +1,25 @@
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"cells": [
{
"cell_type": "markdown",
+ "metadata": {
+ "id": "hTIfyoGtjoWD"
+ },
"source": [
+ "[](https://colab.research.google.com/drive/1UvR9m2KTinvlDXeOWfS2HBU4X72LAjTz?usp=sharing)\n",
+ "\n",
"# Llama Stack Benchmark Evals\n",
"\n",
"This notebook will walk you through the main sets of APIs we offer with Llama Stack for supporting running benchmark evaluations of your with working examples to explore the possibilities that Llama Stack opens up for you.\n",
"\n",
"Read more about Llama Stack: https://llama-stack.readthedocs.io/en/latest/index.html"
- ],
- "metadata": {
- "id": "hTIfyoGtjoWD"
- }
+ ]
},
{
"cell_type": "markdown",
+ "metadata": {
+ "id": "bxs0FJ1ckGa6"
+ },
"source": [
"## 0. Bootstrapping Llama Stack Library\n",
"\n",
@@ -3127,16 +32,11 @@
"\n",
"\n",
"> **Note:** Set the API Key in the Secrets of this notebook as `TOGETHER_API_KEY`"
- ],
- "metadata": {
- "id": "bxs0FJ1ckGa6"
- }
+ ]
},
{
"cell_type": "code",
- "source": [
- "!pip install -U llama-stack"
- ],
+ "execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
@@ -3145,11 +45,10 @@
"id": "O9pGVlPIjpix",
"outputId": "e1fbe723-ae31-4630-eb80-4c4f6476d56f"
},
- "execution_count": null,
"outputs": [
{
- "output_type": "stream",
"name": "stdout",
+ "output_type": "stream",
"text": [
"Requirement already satisfied: llama-stack in /usr/local/lib/python3.10/dist-packages (0.0.61)\n",
"Requirement already satisfied: blobfile in /usr/local/lib/python3.10/dist-packages (from llama-stack) (3.0.0)\n",
@@ -3204,13 +103,14 @@
"Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.2->pandas->llama-stack-client>=0.0.61->llama-stack) (1.17.0)\n"
]
}
+ ],
+ "source": [
+ "!pip install -U llama-stack"
]
},
{
"cell_type": "code",
- "source": [
- "!llama stack build --template together --image-type venv"
- ],
+ "execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
@@ -3219,11 +119,10 @@
"id": "JQpLUSNjlGAM",
"outputId": "2f7fec97-5511-4cae-d51e-6d262fbca19c"
},
- "execution_count": null,
"outputs": [
{
- "output_type": "stream",
"name": "stdout",
+ "output_type": "stream",
"text": [
"Requirement already satisfied: llama-stack in /usr/local/lib/python3.10/dist-packages (0.0.61)\r\n",
"Requirement already satisfied: blobfile in /usr/local/lib/python3.10/dist-packages (from llama-stack) (3.0.0)\r\n",
@@ -3408,27 +307,14 @@
"\u001b[32mBuild Successful!\u001b[0m\n"
]
}
+ ],
+ "source": [
+ "!llama stack build --template together --image-type venv"
]
},
{
"cell_type": "code",
- "source": [
- "import os\n",
- "from google.colab import userdata\n",
- "\n",
- "os.environ['TOGETHER_API_KEY'] = userdata.get('TOGETHER_API_KEY')\n",
- "\n",
- "from llama_stack.distribution.library_client import LlamaStackAsLibraryClient\n",
- "client = LlamaStackAsLibraryClient(\"together\")\n",
- "_ = client.initialize()\n",
- "\n",
- "# register 405B as LLM Judge model\n",
- "client.models.register(\n",
- " model_id=\"meta-llama/Llama-3.1-405B-Instruct\",\n",
- " provider_model_id=\"meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo\",\n",
- " provider_id=\"together\",\n",
- ")"
- ],
+ "execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
@@ -3437,158 +323,29 @@
"id": "KkT2qVeTlI-b",
"outputId": "9198fbfc-a126-4409-e2f5-5f5bf5cdf9a7"
},
- "execution_count": null,
"outputs": [
{
- "output_type": "stream",
"name": "stdout",
+ "output_type": "stream",
"text": [
"Warning: `bwrap` is not available. Code interpreter tool will not work correctly.\n"
]
},
{
- "output_type": "display_data",
"data": {
- "text/plain": [
- "Using config \u001b[34mtogether\u001b[0m:\n"
- ],
"text/html": [
"Using config together:\n",
"\n"
+ ],
+ "text/plain": [
+ "Using config \u001b[34mtogether\u001b[0m:\n"
]
},
- "metadata": {}
+ "metadata": {},
+ "output_type": "display_data"
},
{
- "output_type": "display_data",
"data": {
- "text/plain": [
- "apis:\n",
- "- agents\n",
- "- datasetio\n",
- "- eval\n",
- "- inference\n",
- "- memory\n",
- "- safety\n",
- "- scoring\n",
- "- telemetry\n",
- "conda_env: together\n",
- "datasets: \u001b[1m[\u001b[0m\u001b[1m]\u001b[0m\n",
- "docker_image: null\n",
- "eval_tasks: \u001b[1m[\u001b[0m\u001b[1m]\u001b[0m\n",
- "image_name: together\n",
- "memory_banks: \u001b[1m[\u001b[0m\u001b[1m]\u001b[0m\n",
- "metadata_store:\n",
- " db_path: \u001b[35m/root/.llama/distributions/together/\u001b[0m\u001b[95mregistry.db\u001b[0m\n",
- " namespace: null\n",
- " type: sqlite\n",
- "models:\n",
- "- metadata: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n",
- " model_id: meta-llama/Llama-\u001b[1;36m3.1\u001b[0m-8B-Instruct\n",
- " model_type: &id001 !!python/object/apply:llama_stack.apis.models.models.ModelType\n",
- " - llm\n",
- " provider_id: null\n",
- " provider_model_id: meta-llama/Meta-Llama-\u001b[1;36m3.1\u001b[0m-8B-Instruct-Turbo\n",
- "- metadata: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n",
- " model_id: meta-llama/Llama-\u001b[1;36m3.1\u001b[0m-70B-Instruct\n",
- " model_type: *id001\n",
- " provider_id: null\n",
- " provider_model_id: meta-llama/Meta-Llama-\u001b[1;36m3.1\u001b[0m-70B-Instruct-Turbo\n",
- "- metadata: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n",
- " model_id: meta-llama/Llama-\u001b[1;36m3.1\u001b[0m-405B-Instruct-FP8\n",
- " model_type: *id001\n",
- " provider_id: null\n",
- " provider_model_id: meta-llama/Meta-Llama-\u001b[1;36m3.1\u001b[0m-405B-Instruct-Turbo\n",
- "- metadata: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n",
- " model_id: meta-llama/Llama-\u001b[1;36m3.2\u001b[0m-3B-Instruct\n",
- " model_type: *id001\n",
- " provider_id: null\n",
- " provider_model_id: meta-llama/Llama-\u001b[1;36m3.2\u001b[0m-3B-Instruct-Turbo\n",
- "- metadata: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n",
- " model_id: meta-llama/Llama-\u001b[1;36m3.2\u001b[0m-11B-Vision-Instruct\n",
- " model_type: *id001\n",
- " provider_id: null\n",
- " provider_model_id: meta-llama/Llama-\u001b[1;36m3.2\u001b[0m-11B-Vision-Instruct-Turbo\n",
- "- metadata: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n",
- " model_id: meta-llama/Llama-\u001b[1;36m3.2\u001b[0m-90B-Vision-Instruct\n",
- " model_type: *id001\n",
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- " provider_model_id: meta-llama/Llama-\u001b[1;36m3.2\u001b[0m-90B-Vision-Instruct-Turbo\n",
- "- metadata: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n",
- " model_id: meta-llama/Llama-Guard-\u001b[1;36m3\u001b[0m-8B\n",
- " model_type: *id001\n",
- " provider_id: null\n",
- " provider_model_id: meta-llama/Meta-Llama-Guard-\u001b[1;36m3\u001b[0m-8B\n",
- "- metadata: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n",
- " model_id: meta-llama/Llama-Guard-\u001b[1;36m3\u001b[0m-11B-Vision\n",
- " model_type: *id001\n",
- " provider_id: null\n",
- " provider_model_id: meta-llama/Llama-Guard-\u001b[1;36m3\u001b[0m-11B-Vision-Turbo\n",
- "providers:\n",
- " agents:\n",
- " - config:\n",
- " persistence_store:\n",
- " db_path: \u001b[35m/root/.llama/distributions/together/\u001b[0m\u001b[95magents_store.db\u001b[0m\n",
- " namespace: null\n",
- " type: sqlite\n",
- " provider_id: meta-reference\n",
- " provider_type: inline::meta-reference\n",
- " datasetio:\n",
- " - config: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n",
- " provider_id: huggingface\n",
- " provider_type: remote::huggingface\n",
- " - config: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n",
- " provider_id: localfs\n",
- " provider_type: inline::localfs\n",
- " eval:\n",
- " - config: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n",
- " provider_id: meta-reference\n",
- " provider_type: inline::meta-reference\n",
- " inference:\n",
- " - config:\n",
- " api_key: 4985b03e627419b2964d34b8519ac6c4319f094d1ffb4f45514b4eb87e5427a2\n",
- " url: \u001b[4;94mhttps://api.together.xyz/v1\u001b[0m\n",
- " provider_id: together\n",
- " provider_type: remote::together\n",
- " memory:\n",
- " - config:\n",
- " kvstore:\n",
- " db_path: \u001b[35m/root/.llama/distributions/together/\u001b[0m\u001b[95mfaiss_store.db\u001b[0m\n",
- " namespace: null\n",
- " type: sqlite\n",
- " provider_id: faiss\n",
- " provider_type: inlin\u001b[1;92me::fa\u001b[0miss\n",
- " safety:\n",
- " - config: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n",
- " provider_id: llama-guard\n",
- " provider_type: inline::llama-guard\n",
- " scoring:\n",
- " - config: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n",
- " provider_id: basic\n",
- " provider_type: inlin\u001b[1;92me::ba\u001b[0msic\n",
- " - config: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n",
- " provider_id: llm-as-judge\n",
- " provider_type: inline::llm-as-judge\n",
- " - config:\n",
- " openai_api_key: \u001b[32m''\u001b[0m\n",
- " provider_id: braintrust\n",
- " provider_type: inlin\u001b[1;92me::b\u001b[0mraintrust\n",
- " telemetry:\n",
- " - config:\n",
- " service_name: llama-stack\n",
- " sinks: sqlite\n",
- " sqlite_db_path: \u001b[35m/root/.llama/distributions/together/\u001b[0m\u001b[95mtrace_store.db\u001b[0m\n",
- " provider_id: meta-reference\n",
- " provider_type: inline::meta-reference\n",
- "scoring_fns: \u001b[1m[\u001b[0m\u001b[1m]\u001b[0m\n",
- "shields:\n",
- "- params: null\n",
- " provider_id: null\n",
- " provider_shield_id: null\n",
- " shield_id: meta-llama/Llama-Guard-\u001b[1;36m3\u001b[0m-8B\n",
- "version: \u001b[32m'2'\u001b[0m\n",
- "\n"
- ],
"text/html": [
"apis:\n",
"- agents\n",
@@ -3716,24 +473,172 @@
"version: '2'\n",
"\n",
"\n"
+ ],
+ "text/plain": [
+ "apis:\n",
+ "- agents\n",
+ "- datasetio\n",
+ "- eval\n",
+ "- inference\n",
+ "- memory\n",
+ "- safety\n",
+ "- scoring\n",
+ "- telemetry\n",
+ "conda_env: together\n",
+ "datasets: \u001b[1m[\u001b[0m\u001b[1m]\u001b[0m\n",
+ "docker_image: null\n",
+ "eval_tasks: \u001b[1m[\u001b[0m\u001b[1m]\u001b[0m\n",
+ "image_name: together\n",
+ "memory_banks: \u001b[1m[\u001b[0m\u001b[1m]\u001b[0m\n",
+ "metadata_store:\n",
+ " db_path: \u001b[35m/root/.llama/distributions/together/\u001b[0m\u001b[95mregistry.db\u001b[0m\n",
+ " namespace: null\n",
+ " type: sqlite\n",
+ "models:\n",
+ "- metadata: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n",
+ " model_id: meta-llama/Llama-\u001b[1;36m3.1\u001b[0m-8B-Instruct\n",
+ " model_type: &id001 !!python/object/apply:llama_stack.apis.models.models.ModelType\n",
+ " - llm\n",
+ " provider_id: null\n",
+ " provider_model_id: meta-llama/Meta-Llama-\u001b[1;36m3.1\u001b[0m-8B-Instruct-Turbo\n",
+ "- metadata: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n",
+ " model_id: meta-llama/Llama-\u001b[1;36m3.1\u001b[0m-70B-Instruct\n",
+ " model_type: *id001\n",
+ " provider_id: null\n",
+ " provider_model_id: meta-llama/Meta-Llama-\u001b[1;36m3.1\u001b[0m-70B-Instruct-Turbo\n",
+ "- metadata: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n",
+ " model_id: meta-llama/Llama-\u001b[1;36m3.1\u001b[0m-405B-Instruct-FP8\n",
+ " model_type: *id001\n",
+ " provider_id: null\n",
+ " provider_model_id: meta-llama/Meta-Llama-\u001b[1;36m3.1\u001b[0m-405B-Instruct-Turbo\n",
+ "- metadata: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n",
+ " model_id: meta-llama/Llama-\u001b[1;36m3.2\u001b[0m-3B-Instruct\n",
+ " model_type: *id001\n",
+ " provider_id: null\n",
+ " provider_model_id: meta-llama/Llama-\u001b[1;36m3.2\u001b[0m-3B-Instruct-Turbo\n",
+ "- metadata: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n",
+ " model_id: meta-llama/Llama-\u001b[1;36m3.2\u001b[0m-11B-Vision-Instruct\n",
+ " model_type: *id001\n",
+ " provider_id: null\n",
+ " provider_model_id: meta-llama/Llama-\u001b[1;36m3.2\u001b[0m-11B-Vision-Instruct-Turbo\n",
+ "- metadata: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n",
+ " model_id: meta-llama/Llama-\u001b[1;36m3.2\u001b[0m-90B-Vision-Instruct\n",
+ " model_type: *id001\n",
+ " provider_id: null\n",
+ " provider_model_id: meta-llama/Llama-\u001b[1;36m3.2\u001b[0m-90B-Vision-Instruct-Turbo\n",
+ "- metadata: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n",
+ " model_id: meta-llama/Llama-Guard-\u001b[1;36m3\u001b[0m-8B\n",
+ " model_type: *id001\n",
+ " provider_id: null\n",
+ " provider_model_id: meta-llama/Meta-Llama-Guard-\u001b[1;36m3\u001b[0m-8B\n",
+ "- metadata: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n",
+ " model_id: meta-llama/Llama-Guard-\u001b[1;36m3\u001b[0m-11B-Vision\n",
+ " model_type: *id001\n",
+ " provider_id: null\n",
+ " provider_model_id: meta-llama/Llama-Guard-\u001b[1;36m3\u001b[0m-11B-Vision-Turbo\n",
+ "providers:\n",
+ " agents:\n",
+ " - config:\n",
+ " persistence_store:\n",
+ " db_path: \u001b[35m/root/.llama/distributions/together/\u001b[0m\u001b[95magents_store.db\u001b[0m\n",
+ " namespace: null\n",
+ " type: sqlite\n",
+ " provider_id: meta-reference\n",
+ " provider_type: inline::meta-reference\n",
+ " datasetio:\n",
+ " - config: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n",
+ " provider_id: huggingface\n",
+ " provider_type: remote::huggingface\n",
+ " - config: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n",
+ " provider_id: localfs\n",
+ " provider_type: inline::localfs\n",
+ " eval:\n",
+ " - config: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n",
+ " provider_id: meta-reference\n",
+ " provider_type: inline::meta-reference\n",
+ " inference:\n",
+ " - config:\n",
+ " api_key: 4985b03e627419b2964d34b8519ac6c4319f094d1ffb4f45514b4eb87e5427a2\n",
+ " url: \u001b[4;94mhttps://api.together.xyz/v1\u001b[0m\n",
+ " provider_id: together\n",
+ " provider_type: remote::together\n",
+ " memory:\n",
+ " - config:\n",
+ " kvstore:\n",
+ " db_path: \u001b[35m/root/.llama/distributions/together/\u001b[0m\u001b[95mfaiss_store.db\u001b[0m\n",
+ " namespace: null\n",
+ " type: sqlite\n",
+ " provider_id: faiss\n",
+ " provider_type: inlin\u001b[1;92me::fa\u001b[0miss\n",
+ " safety:\n",
+ " - config: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n",
+ " provider_id: llama-guard\n",
+ " provider_type: inline::llama-guard\n",
+ " scoring:\n",
+ " - config: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n",
+ " provider_id: basic\n",
+ " provider_type: inlin\u001b[1;92me::ba\u001b[0msic\n",
+ " - config: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n",
+ " provider_id: llm-as-judge\n",
+ " provider_type: inline::llm-as-judge\n",
+ " - config:\n",
+ " openai_api_key: \u001b[32m''\u001b[0m\n",
+ " provider_id: braintrust\n",
+ " provider_type: inlin\u001b[1;92me::b\u001b[0mraintrust\n",
+ " telemetry:\n",
+ " - config:\n",
+ " service_name: llama-stack\n",
+ " sinks: sqlite\n",
+ " sqlite_db_path: \u001b[35m/root/.llama/distributions/together/\u001b[0m\u001b[95mtrace_store.db\u001b[0m\n",
+ " provider_id: meta-reference\n",
+ " provider_type: inline::meta-reference\n",
+ "scoring_fns: \u001b[1m[\u001b[0m\u001b[1m]\u001b[0m\n",
+ "shields:\n",
+ "- params: null\n",
+ " provider_id: null\n",
+ " provider_shield_id: null\n",
+ " shield_id: meta-llama/Llama-Guard-\u001b[1;36m3\u001b[0m-8B\n",
+ "version: \u001b[32m'2'\u001b[0m\n",
+ "\n"
]
},
- "metadata": {}
+ "metadata": {},
+ "output_type": "display_data"
},
{
- "output_type": "execute_result",
"data": {
"text/plain": [
"Model(identifier='meta-llama/Llama-3.1-405B-Instruct', metadata={}, provider_id='together', provider_resource_id='meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo', type='model', model_type='llm')"
]
},
+ "execution_count": 5,
"metadata": {},
- "execution_count": 5
+ "output_type": "execute_result"
}
+ ],
+ "source": [
+ "import os\n",
+ "from google.colab import userdata\n",
+ "\n",
+ "os.environ['TOGETHER_API_KEY'] = userdata.get('TOGETHER_API_KEY')\n",
+ "\n",
+ "from llama_stack.distribution.library_client import LlamaStackAsLibraryClient\n",
+ "client = LlamaStackAsLibraryClient(\"together\")\n",
+ "_ = client.initialize()\n",
+ "\n",
+ "# register 405B as LLM Judge model\n",
+ "client.models.register(\n",
+ " model_id=\"meta-llama/Llama-3.1-405B-Instruct\",\n",
+ " provider_model_id=\"meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo\",\n",
+ " provider_id=\"together\",\n",
+ ")"
]
},
{
"cell_type": "markdown",
+ "metadata": {
+ "id": "qwXHwHq4lS1s"
+ },
"source": [
"## 1. Open Benchmark Model Evaluation\n",
"\n",
@@ -3741,42 +646,34 @@
"\n",
"- [MMMU](https://arxiv.org/abs/2311.16502) (A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI)]: Benchmark designed to evaluate multimodal models.\n",
"- [SimpleQA](https://openai.com/index/introducing-simpleqa/): Benchmark designed to access models to answer short, fact-seeking questions."
- ],
- "metadata": {
- "id": "qwXHwHq4lS1s"
- }
+ ]
},
{
"cell_type": "markdown",
+ "metadata": {
+ "id": "dqXLFtcao1oI"
+ },
"source": [
"#### 1.1 Running MMMU\n",
"- We will use a pre-processed MMMU dataset from [llamastack/mmmu](https://huggingface.co/datasets/llamastack/mmmu). The preprocessing code is shown in in this [Github Gist](https://gist.github.com/yanxi0830/118e9c560227d27132a7fd10e2c92840). The dataset is obtained by transforming the original [MMMU/MMMU](https://huggingface.co/datasets/MMMU/MMMU) dataset into correct format by `inference/chat-completion` API."
- ],
- "metadata": {
- "id": "dqXLFtcao1oI"
- }
+ ]
},
{
"cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "TC_IwIAQo4q-"
+ },
+ "outputs": [],
"source": [
"name = \"llamastack/mmmu\"\n",
"subset = \"Agriculture\"\n",
"split = \"dev\""
- ],
- "metadata": {
- "id": "TC_IwIAQo4q-"
- },
- "execution_count": null,
- "outputs": []
+ ]
},
{
"cell_type": "code",
- "source": [
- "import datasets\n",
- "ds = datasets.load_dataset(path=name, name=subset, split=split)\n",
- "ds = ds.select_columns([\"chat_completion_input\", \"input_query\", \"expected_answer\"])\n",
- "eval_rows = ds.to_pandas().to_dict(orient=\"records\")"
- ],
+ "execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
@@ -3887,150 +784,235 @@
"id": "DJkmoG2kq1_P",
"outputId": "8493ee59-c6ff-4bb6-d787-f295944db1cf"
},
- "execution_count": null,
"outputs": [
{
- "output_type": "display_data",
"data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "feb82e061ee44283b4a46be858ef4cd7",
+ "version_major": 2,
+ "version_minor": 0
+ },
"text/plain": [
"README.md: 0%| | 0.00/36.0k [00:00EvaluateResponse(\n",
+ "│ generations=[\n",
+ "│ │ {\n",
+ "│ │ │ 'generated_answer': 'The Colorado potato beetle (Leptinotarsa decemlineata) is a significant pest of potatoes, causing damage to the leaves and stems of potato plants. The insect with black-colored antennae in the image is a Colorado potato beetle, which is known for its distinctive black and yellow stripes. On the other hand, the insect with tan-colored antennae is not a Colorado potato beetle and does not appear to be a pest of potatoes.\\n\\n*Answer*: B) The one with black coloured antennae'\n",
+ "│ │ },\n",
+ "│ │ {\n",
+ "│ │ │ 'generated_answer': 'To determine the count of pathogens infecting this sunflower leaf, we need to analyze the image carefully. The image shows a sunflower leaf with several brown spots and patches on its surface. These brown spots and patches are indicative of fungal infections, which are common pathogens that affect sunflowers.\\n\\nUpon closer inspection, we can see that there are two distinct types of brown spots and patches on the leaf. One type is smaller and more circular in shape, while the other type is larger and more irregular in shape. This suggests that there may be two different pathogens infecting the leaf.\\n\\nHowever, without further information or testing, it is difficult to say for certain whether these two types of brown spots and patches are caused by different pathogens or if they are just different stages of the same infection. Therefore, based on the available information, the most likely answer is:\\n\\nAnswer: B) Two pathogens'\n",
+ "│ │ },\n",
+ "│ │ {\n",
+ "│ │ │ 'generated_answer': 'Based on the image, the most likely reason for the massive gum production on the trunks of these grapefruit trees in Cyprus is a fungal infection. The gummosis, or the production of gum, is a common symptom of fungal diseases in citrus trees, and it can be caused by various factors such as root damage, water stress, or nutrient deficiencies. However, in this case, the presence of the gum on the trunks of the trees suggests that the cause is more likely related to a fungal infection.\\n\\nAnswer: E) Fungal gummosis'\n",
+ "│ │ },\n",
+ "│ │ {\n",
+ "│ │ │ 'generated_answer': 'The correct answer is D) Most viruses have a specific relationship with their vectors.\\n\\nExplanation:\\n\\n* Laboratory work with micro manipulators can mimic the transmission of viruses, but this is not the primary method of virus transmission in nature.\\n* Not all plant-feeding insects can transmit viruses; only specific species that have evolved to transmit particular viruses are capable of doing so.\\n* Similarly, not all plant viruses can be transmitted by insects; some are transmitted through other means such as mechanical transmission or nematodes.\\n* The correct assertion is that most viruses have a specific relationship with their vectors, meaning that each virus is typically transmitted by a specific type of insect or vector.\\n\\nAnswer: D'\n",
+ "│ │ },\n",
+ "│ │ {\n",
+ "│ │ │ 'generated_answer': \"The petioles of this rhubarb are splitting, and we need to determine which of the listed issues would not be the cause. \\n\\nFirst, let's consider physiological problems (A). Rhubarb is a hardy plant, but it can still experience physiological issues due to factors like temperature fluctuations, water stress, or nutrient deficiencies. These issues could potentially cause the petioles to split.\\n\\nNext, let's look at phytoplasma infection (B). Phytoplasmas are bacteria-like organisms that can infect plants, causing a range of symptoms including yellowing or browning of leaves, stunted growth, and distorted or split petioles. So, phytoplasma infection could also be a possible cause.\\n\\nNow, let's consider animal damage (D). Animals like rabbits, deer, or rodents might feed on the rhubarb leaves, causing damage to the petioles and potentially leading to splitting.\\n\\nFinally, let's think about bacteria (E). Bacterial infections can cause a range of symptoms in plants, including soft rot, leaf spot, and petiole splitting. So, bacteria could also be a potential cause.\\n\\nBased on this analysis, it seems that all of the listed issues could potentially cause the petioles of this rhubarb to split. Therefore, the correct answer is:\\n\\nAnswer: C\"\n",
+ "│ │ }\n",
+ "│ ],\n",
+ "│ scores={\n",
+ "│ │ 'basic::regex_parser_multiple_choice_answer': ScoringResult(\n",
+ "│ │ │ aggregated_results={'accuracy': 0.2, 'num_correct': 1.0, 'num_total': 5.0},\n",
+ "│ │ │ score_rows=[{'score': 0.0}, {'score': 0.0}, {'score': 0.0}, {'score': 1.0}, {'score': 0.0}]\n",
+ "│ │ )\n",
+ "│ }\n",
+ ")\n",
+ "\n"
+ ],
+ "text/plain": [
+ "\u001b[1;35mEvaluateResponse\u001b[0m\u001b[1m(\u001b[0m\n",
+ "\u001b[2;32m│ \u001b[0m\u001b[33mgenerations\u001b[0m=\u001b[1m[\u001b[0m\n",
+ "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n",
+ "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'The Colorado potato beetle \u001b[0m\u001b[32m(\u001b[0m\u001b[32mLeptinotarsa decemlineata\u001b[0m\u001b[32m)\u001b[0m\u001b[32m is a significant pest of potatoes, causing damage to the leaves and stems of potato plants. The insect with black-colored antennae in the image is a Colorado potato beetle, which is known for its distinctive black and yellow stripes. On the other hand, the insect with tan-colored antennae is not a Colorado potato beetle and does not appear to be a pest of potatoes.\\n\\n*Answer*: B\u001b[0m\u001b[32m)\u001b[0m\u001b[32m The one with black coloured antennae'\u001b[0m\n",
+ "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n",
+ "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n",
+ "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'To determine the count of pathogens infecting this sunflower leaf, we need to analyze the image carefully. The image shows a sunflower leaf with several brown spots and patches on its surface. These brown spots and patches are indicative of fungal infections, which are common pathogens that affect sunflowers.\\n\\nUpon closer inspection, we can see that there are two distinct types of brown spots and patches on the leaf. One type is smaller and more circular in shape, while the other type is larger and more irregular in shape. This suggests that there may be two different pathogens infecting the leaf.\\n\\nHowever, without further information or testing, it is difficult to say for certain whether these two types of brown spots and patches are caused by different pathogens or if they are just different stages of the same infection. Therefore, based on the available information, the most likely answer is:\\n\\nAnswer: B\u001b[0m\u001b[32m)\u001b[0m\u001b[32m Two pathogens'\u001b[0m\n",
+ "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n",
+ "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n",
+ "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'Based on the image, the most likely reason for the massive gum production on the trunks of these grapefruit trees in Cyprus is a fungal infection. The gummosis, or the production of gum, is a common symptom of fungal diseases in citrus trees, and it can be caused by various factors such as root damage, water stress, or nutrient deficiencies. However, in this case, the presence of the gum on the trunks of the trees suggests that the cause is more likely related to a fungal infection.\\n\\nAnswer: E\u001b[0m\u001b[32m)\u001b[0m\u001b[32m Fungal gummosis'\u001b[0m\n",
+ "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n",
+ "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n",
+ "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'The correct answer is D\u001b[0m\u001b[32m)\u001b[0m\u001b[32m Most viruses have a specific relationship with their vectors.\\n\\nExplanation:\\n\\n* Laboratory work with micro manipulators can mimic the transmission of viruses, but this is not the primary method of virus transmission in nature.\\n* Not all plant-feeding insects can transmit viruses; only specific species that have evolved to transmit particular viruses are capable of doing so.\\n* Similarly, not all plant viruses can be transmitted by insects; some are transmitted through other means such as mechanical transmission or nematodes.\\n* The correct assertion is that most viruses have a specific relationship with their vectors, meaning that each virus is typically transmitted by a specific type of insect or vector.\\n\\nAnswer: D'\u001b[0m\n",
+ "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n",
+ "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n",
+ "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"The petioles of this rhubarb are splitting, and we need to determine which of the listed issues would not be the cause. \\n\\nFirst, let's consider physiological problems \u001b[0m\u001b[32m(\u001b[0m\u001b[32mA\u001b[0m\u001b[32m)\u001b[0m\u001b[32m. Rhubarb is a hardy plant, but it can still experience physiological issues due to factors like temperature fluctuations, water stress, or nutrient deficiencies. These issues could potentially cause the petioles to split.\\n\\nNext, let's look at phytoplasma infection \u001b[0m\u001b[32m(\u001b[0m\u001b[32mB\u001b[0m\u001b[32m)\u001b[0m\u001b[32m. Phytoplasmas are bacteria-like organisms that can infect plants, causing a range of symptoms including yellowing or browning of leaves, stunted growth, and distorted or split petioles. So, phytoplasma infection could also be a possible cause.\\n\\nNow, let's consider animal damage \u001b[0m\u001b[32m(\u001b[0m\u001b[32mD\u001b[0m\u001b[32m)\u001b[0m\u001b[32m. Animals like rabbits, deer, or rodents might feed on the rhubarb leaves, causing damage to the petioles and potentially leading to splitting.\\n\\nFinally, let's think about bacteria \u001b[0m\u001b[32m(\u001b[0m\u001b[32mE\u001b[0m\u001b[32m)\u001b[0m\u001b[32m. Bacterial infections can cause a range of symptoms in plants, including soft rot, leaf spot, and petiole splitting. So, bacteria could also be a potential cause.\\n\\nBased on this analysis, it seems that all of the listed issues could potentially cause the petioles of this rhubarb to split. Therefore, the correct answer is:\\n\\nAnswer: C\"\u001b[0m\n",
+ "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m\n",
+ "\u001b[2;32m│ \u001b[0m\u001b[1m]\u001b[0m,\n",
+ "\u001b[2;32m│ \u001b[0m\u001b[33mscores\u001b[0m=\u001b[1m{\u001b[0m\n",
+ "\u001b[2;32m│ │ \u001b[0m\u001b[32m'basic::regex_parser_multiple_choice_answer'\u001b[0m: \u001b[1;35mScoringResult\u001b[0m\u001b[1m(\u001b[0m\n",
+ "\u001b[2;32m│ │ │ \u001b[0m\u001b[33maggregated_results\u001b[0m=\u001b[1m{\u001b[0m\u001b[32m'accuracy'\u001b[0m: \u001b[1;36m0.2\u001b[0m, \u001b[32m'num_correct'\u001b[0m: \u001b[1;36m1.0\u001b[0m, \u001b[32m'num_total'\u001b[0m: \u001b[1;36m5.0\u001b[0m\u001b[1m}\u001b[0m,\n",
+ "\u001b[2;32m│ │ │ \u001b[0m\u001b[33mscore_rows\u001b[0m=\u001b[1m[\u001b[0m\u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[1;36m0.0\u001b[0m\u001b[1m}\u001b[0m, \u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[1;36m0.0\u001b[0m\u001b[1m}\u001b[0m, \u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[1;36m0.0\u001b[0m\u001b[1m}\u001b[0m, \u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[1;36m1.0\u001b[0m\u001b[1m}\u001b[0m, \u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[1;36m0.0\u001b[0m\u001b[1m}\u001b[0m\u001b[1m]\u001b[0m\n",
+ "\u001b[2;32m│ │ \u001b[0m\u001b[1m)\u001b[0m\n",
+ "\u001b[2;32m│ \u001b[0m\u001b[1m}\u001b[0m\n",
+ "\u001b[1m)\u001b[0m\n"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
"source": [
"from tqdm import tqdm\n",
"from rich.pretty import pprint\n",
@@ -4080,101 +1062,26 @@
" }\n",
")\n",
"pprint(response)"
- ],
- "metadata": {
- "colab": {
- "base_uri": "https://localhost:8080/",
- "height": 441
- },
- "collapsed": true,
- "id": "1r6qYTp9q5l7",
- "outputId": "f1607a9b-c3a3-43cc-928f-0487d0438748"
- },
- "execution_count": null,
- "outputs": [
- {
- "output_type": "stream",
- "name": "stderr",
- "text": [
- "100%|██████████| 5/5 [00:51<00:00, 10.28s/it]\n"
- ]
- },
- {
- "output_type": "display_data",
- "data": {
- "text/plain": [
- "\u001b[1;35mEvaluateResponse\u001b[0m\u001b[1m(\u001b[0m\n",
- "\u001b[2;32m│ \u001b[0m\u001b[33mgenerations\u001b[0m=\u001b[1m[\u001b[0m\n",
- "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n",
- "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'The Colorado potato beetle \u001b[0m\u001b[32m(\u001b[0m\u001b[32mLeptinotarsa decemlineata\u001b[0m\u001b[32m)\u001b[0m\u001b[32m is a significant pest of potatoes, causing damage to the leaves and stems of potato plants. The insect with black-colored antennae in the image is a Colorado potato beetle, which is known for its distinctive black and yellow stripes. On the other hand, the insect with tan-colored antennae is not a Colorado potato beetle and does not appear to be a pest of potatoes.\\n\\n*Answer*: B\u001b[0m\u001b[32m)\u001b[0m\u001b[32m The one with black coloured antennae'\u001b[0m\n",
- "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n",
- "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n",
- "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'To determine the count of pathogens infecting this sunflower leaf, we need to analyze the image carefully. The image shows a sunflower leaf with several brown spots and patches on its surface. These brown spots and patches are indicative of fungal infections, which are common pathogens that affect sunflowers.\\n\\nUpon closer inspection, we can see that there are two distinct types of brown spots and patches on the leaf. One type is smaller and more circular in shape, while the other type is larger and more irregular in shape. This suggests that there may be two different pathogens infecting the leaf.\\n\\nHowever, without further information or testing, it is difficult to say for certain whether these two types of brown spots and patches are caused by different pathogens or if they are just different stages of the same infection. Therefore, based on the available information, the most likely answer is:\\n\\nAnswer: B\u001b[0m\u001b[32m)\u001b[0m\u001b[32m Two pathogens'\u001b[0m\n",
- "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n",
- "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n",
- "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'Based on the image, the most likely reason for the massive gum production on the trunks of these grapefruit trees in Cyprus is a fungal infection. The gummosis, or the production of gum, is a common symptom of fungal diseases in citrus trees, and it can be caused by various factors such as root damage, water stress, or nutrient deficiencies. However, in this case, the presence of the gum on the trunks of the trees suggests that the cause is more likely related to a fungal infection.\\n\\nAnswer: E\u001b[0m\u001b[32m)\u001b[0m\u001b[32m Fungal gummosis'\u001b[0m\n",
- "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n",
- "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n",
- "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'The correct answer is D\u001b[0m\u001b[32m)\u001b[0m\u001b[32m Most viruses have a specific relationship with their vectors.\\n\\nExplanation:\\n\\n* Laboratory work with micro manipulators can mimic the transmission of viruses, but this is not the primary method of virus transmission in nature.\\n* Not all plant-feeding insects can transmit viruses; only specific species that have evolved to transmit particular viruses are capable of doing so.\\n* Similarly, not all plant viruses can be transmitted by insects; some are transmitted through other means such as mechanical transmission or nematodes.\\n* The correct assertion is that most viruses have a specific relationship with their vectors, meaning that each virus is typically transmitted by a specific type of insect or vector.\\n\\nAnswer: D'\u001b[0m\n",
- "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n",
- "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n",
- "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"The petioles of this rhubarb are splitting, and we need to determine which of the listed issues would not be the cause. \\n\\nFirst, let's consider physiological problems \u001b[0m\u001b[32m(\u001b[0m\u001b[32mA\u001b[0m\u001b[32m)\u001b[0m\u001b[32m. Rhubarb is a hardy plant, but it can still experience physiological issues due to factors like temperature fluctuations, water stress, or nutrient deficiencies. These issues could potentially cause the petioles to split.\\n\\nNext, let's look at phytoplasma infection \u001b[0m\u001b[32m(\u001b[0m\u001b[32mB\u001b[0m\u001b[32m)\u001b[0m\u001b[32m. Phytoplasmas are bacteria-like organisms that can infect plants, causing a range of symptoms including yellowing or browning of leaves, stunted growth, and distorted or split petioles. So, phytoplasma infection could also be a possible cause.\\n\\nNow, let's consider animal damage \u001b[0m\u001b[32m(\u001b[0m\u001b[32mD\u001b[0m\u001b[32m)\u001b[0m\u001b[32m. Animals like rabbits, deer, or rodents might feed on the rhubarb leaves, causing damage to the petioles and potentially leading to splitting.\\n\\nFinally, let's think about bacteria \u001b[0m\u001b[32m(\u001b[0m\u001b[32mE\u001b[0m\u001b[32m)\u001b[0m\u001b[32m. Bacterial infections can cause a range of symptoms in plants, including soft rot, leaf spot, and petiole splitting. So, bacteria could also be a potential cause.\\n\\nBased on this analysis, it seems that all of the listed issues could potentially cause the petioles of this rhubarb to split. Therefore, the correct answer is:\\n\\nAnswer: C\"\u001b[0m\n",
- "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m\n",
- "\u001b[2;32m│ \u001b[0m\u001b[1m]\u001b[0m,\n",
- "\u001b[2;32m│ \u001b[0m\u001b[33mscores\u001b[0m=\u001b[1m{\u001b[0m\n",
- "\u001b[2;32m│ │ \u001b[0m\u001b[32m'basic::regex_parser_multiple_choice_answer'\u001b[0m: \u001b[1;35mScoringResult\u001b[0m\u001b[1m(\u001b[0m\n",
- "\u001b[2;32m│ │ │ \u001b[0m\u001b[33maggregated_results\u001b[0m=\u001b[1m{\u001b[0m\u001b[32m'accuracy'\u001b[0m: \u001b[1;36m0.2\u001b[0m, \u001b[32m'num_correct'\u001b[0m: \u001b[1;36m1.0\u001b[0m, \u001b[32m'num_total'\u001b[0m: \u001b[1;36m5.0\u001b[0m\u001b[1m}\u001b[0m,\n",
- "\u001b[2;32m│ │ │ \u001b[0m\u001b[33mscore_rows\u001b[0m=\u001b[1m[\u001b[0m\u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[1;36m0.0\u001b[0m\u001b[1m}\u001b[0m, \u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[1;36m0.0\u001b[0m\u001b[1m}\u001b[0m, \u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[1;36m0.0\u001b[0m\u001b[1m}\u001b[0m, \u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[1;36m1.0\u001b[0m\u001b[1m}\u001b[0m, \u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[1;36m0.0\u001b[0m\u001b[1m}\u001b[0m\u001b[1m]\u001b[0m\n",
- "\u001b[2;32m│ │ \u001b[0m\u001b[1m)\u001b[0m\n",
- "\u001b[2;32m│ \u001b[0m\u001b[1m}\u001b[0m\n",
- "\u001b[1m)\u001b[0m\n"
- ],
- "text/html": [
- "EvaluateResponse(\n",
- "│ generations=[\n",
- "│ │ {\n",
- "│ │ │ 'generated_answer': 'The Colorado potato beetle (Leptinotarsa decemlineata) is a significant pest of potatoes, causing damage to the leaves and stems of potato plants. The insect with black-colored antennae in the image is a Colorado potato beetle, which is known for its distinctive black and yellow stripes. On the other hand, the insect with tan-colored antennae is not a Colorado potato beetle and does not appear to be a pest of potatoes.\\n\\n*Answer*: B) The one with black coloured antennae'\n",
- "│ │ },\n",
- "│ │ {\n",
- "│ │ │ 'generated_answer': 'To determine the count of pathogens infecting this sunflower leaf, we need to analyze the image carefully. The image shows a sunflower leaf with several brown spots and patches on its surface. These brown spots and patches are indicative of fungal infections, which are common pathogens that affect sunflowers.\\n\\nUpon closer inspection, we can see that there are two distinct types of brown spots and patches on the leaf. One type is smaller and more circular in shape, while the other type is larger and more irregular in shape. This suggests that there may be two different pathogens infecting the leaf.\\n\\nHowever, without further information or testing, it is difficult to say for certain whether these two types of brown spots and patches are caused by different pathogens or if they are just different stages of the same infection. Therefore, based on the available information, the most likely answer is:\\n\\nAnswer: B) Two pathogens'\n",
- "│ │ },\n",
- "│ │ {\n",
- "│ │ │ 'generated_answer': 'Based on the image, the most likely reason for the massive gum production on the trunks of these grapefruit trees in Cyprus is a fungal infection. The gummosis, or the production of gum, is a common symptom of fungal diseases in citrus trees, and it can be caused by various factors such as root damage, water stress, or nutrient deficiencies. However, in this case, the presence of the gum on the trunks of the trees suggests that the cause is more likely related to a fungal infection.\\n\\nAnswer: E) Fungal gummosis'\n",
- "│ │ },\n",
- "│ │ {\n",
- "│ │ │ 'generated_answer': 'The correct answer is D) Most viruses have a specific relationship with their vectors.\\n\\nExplanation:\\n\\n* Laboratory work with micro manipulators can mimic the transmission of viruses, but this is not the primary method of virus transmission in nature.\\n* Not all plant-feeding insects can transmit viruses; only specific species that have evolved to transmit particular viruses are capable of doing so.\\n* Similarly, not all plant viruses can be transmitted by insects; some are transmitted through other means such as mechanical transmission or nematodes.\\n* The correct assertion is that most viruses have a specific relationship with their vectors, meaning that each virus is typically transmitted by a specific type of insect or vector.\\n\\nAnswer: D'\n",
- "│ │ },\n",
- "│ │ {\n",
- "│ │ │ 'generated_answer': \"The petioles of this rhubarb are splitting, and we need to determine which of the listed issues would not be the cause. \\n\\nFirst, let's consider physiological problems (A). Rhubarb is a hardy plant, but it can still experience physiological issues due to factors like temperature fluctuations, water stress, or nutrient deficiencies. These issues could potentially cause the petioles to split.\\n\\nNext, let's look at phytoplasma infection (B). Phytoplasmas are bacteria-like organisms that can infect plants, causing a range of symptoms including yellowing or browning of leaves, stunted growth, and distorted or split petioles. So, phytoplasma infection could also be a possible cause.\\n\\nNow, let's consider animal damage (D). Animals like rabbits, deer, or rodents might feed on the rhubarb leaves, causing damage to the petioles and potentially leading to splitting.\\n\\nFinally, let's think about bacteria (E). Bacterial infections can cause a range of symptoms in plants, including soft rot, leaf spot, and petiole splitting. So, bacteria could also be a potential cause.\\n\\nBased on this analysis, it seems that all of the listed issues could potentially cause the petioles of this rhubarb to split. Therefore, the correct answer is:\\n\\nAnswer: C\"\n",
- "│ │ }\n",
- "│ ],\n",
- "│ scores={\n",
- "│ │ 'basic::regex_parser_multiple_choice_answer': ScoringResult(\n",
- "│ │ │ aggregated_results={'accuracy': 0.2, 'num_correct': 1.0, 'num_total': 5.0},\n",
- "│ │ │ score_rows=[{'score': 0.0}, {'score': 0.0}, {'score': 0.0}, {'score': 1.0}, {'score': 0.0}]\n",
- "│ │ )\n",
- "│ }\n",
- ")\n",
- "\n"
- ]
- },
- "metadata": {}
- }
]
},
{
"cell_type": "markdown",
+ "metadata": {
+ "id": "vYlb9wKzwg-s"
+ },
"source": [
"#### 1.2. Running SimpleQA\n",
"- We will use a pre-processed SimpleQA dataset from [llamastack/evals](https://huggingface.co/datasets/llamastack/evals/viewer/evals__simpleqa) which is obtained by transforming the input query into correct format accepted by `inference/chat-completion` API.\n",
"- Since we will be using this same dataset in our next example for Agentic evaluation, we will register it using the `/datasets` API, and interact with it through `/datasetio` API."
- ],
- "metadata": {
- "id": "vYlb9wKzwg-s"
- }
+ ]
},
{
"cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "HXmZf3Ymw-aX"
+ },
+ "outputs": [],
"source": [
"simpleqa_dataset_id = \"huggingface::simpleqa\"\n",
"\n",
@@ -4193,56 +1100,25 @@
" \"chat_completion_input\": {\"type\": \"chat_completion_input\"},\n",
" }\n",
")"
- ],
- "metadata": {
- "id": "HXmZf3Ymw-aX"
- },
- "execution_count": null,
- "outputs": []
+ ]
},
{
"cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "Gc8azb4Rxr5J"
+ },
+ "outputs": [],
"source": [
"eval_rows = client.datasetio.get_rows_paginated(\n",
" dataset_id=simpleqa_dataset_id,\n",
" rows_in_page=5,\n",
")"
- ],
- "metadata": {
- "id": "Gc8azb4Rxr5J"
- },
- "execution_count": null,
- "outputs": []
+ ]
},
{
"cell_type": "code",
- "source": [
- "client.eval_tasks.register(\n",
- " eval_task_id=\"meta-reference::simpleqa\",\n",
- " dataset_id=simpleqa_dataset_id,\n",
- " scoring_functions=[\"llm-as-judge::405b-simpleqa\"]\n",
- ")\n",
- "\n",
- "response = client.eval.evaluate_rows(\n",
- " task_id=\"meta-reference::simpleqa\",\n",
- " input_rows=eval_rows.rows,\n",
- " scoring_functions=[\"llm-as-judge::405b-simpleqa\"],\n",
- " task_config={\n",
- " \"type\": \"benchmark\",\n",
- " \"eval_candidate\": {\n",
- " \"type\": \"model\",\n",
- " \"model\": \"meta-llama/Llama-3.2-90B-Vision-Instruct\",\n",
- " \"sampling_params\": {\n",
- " \"temperature\": 0.0,\n",
- " \"max_tokens\": 4096,\n",
- " \"top_p\": 0.9,\n",
- " \"repeat_penalty\": 1.0,\n",
- " },\n",
- " }\n",
- " }\n",
- ")\n",
- "pprint(response)"
- ],
+ "execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
@@ -4251,49 +1127,16 @@
"id": "zSYAUnBUyRaG",
"outputId": "038cf42f-4e3c-4053-b3c4-cf16547483dd"
},
- "execution_count": null,
"outputs": [
{
- "output_type": "stream",
"name": "stderr",
+ "output_type": "stream",
"text": [
"100%|██████████| 5/5 [00:48<00:00, 9.68s/it]\n"
]
},
{
- "output_type": "display_data",
"data": {
- "text/plain": [
- "\u001b[1;35mEvaluateResponse\u001b[0m\u001b[1m(\u001b[0m\n",
- "\u001b[2;32m│ \u001b[0m\u001b[33mgenerations\u001b[0m=\u001b[1m[\u001b[0m\n",
- "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'The recipient of the IEEE Frank Rosenblatt Award in 2010 was Vladimir Vapnik'\u001b[0m\u001b[1m}\u001b[0m,\n",
- "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n",
- "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"I am unable to verify who was awarded the Oceanography Society's Jerlov Award in 2018.\"\u001b[0m\n",
- "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n",
- "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n",
- "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"Radcliffe College was a women's liberal arts college, but it has since been integrated into Harvard University.\"\u001b[0m\n",
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- "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"The Leipzig 1877 tournament was organized in the honor of 50th anniversary of the first chess club in Germany \u001b[0m\u001b[32m(\u001b[0m\u001b[32mthe Leipzig Chess Club's\u001b[0m\u001b[32m)\u001b[0m\u001b[32m founding and of the 50th anniversary of Paul Morphy's birth\"\u001b[0m\n",
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- "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"Karl Küchler's 1908 guidebook states that Empress Elizabeth of Austria's favorite sculpture, which was made for her villa Achilleion at Corfu, depicted 'Dying Achilles'.\"\u001b[0m\n",
- "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m\n",
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- "\u001b[2;32m│ │ │ \u001b[0m\u001b[1m]\u001b[0m\n",
- "\u001b[2;32m│ │ \u001b[0m\u001b[1m)\u001b[0m\n",
- "\u001b[2;32m│ \u001b[0m\u001b[1m}\u001b[0m\n",
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"text/html": [
"EvaluateResponse(\n",
"│ generations=[\n",
@@ -4325,14 +1168,76 @@
"│ }\n",
")\n",
"\n"
+ ],
+ "text/plain": [
+ "\u001b[1;35mEvaluateResponse\u001b[0m\u001b[1m(\u001b[0m\n",
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+ "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'The recipient of the IEEE Frank Rosenblatt Award in 2010 was Vladimir Vapnik'\u001b[0m\u001b[1m}\u001b[0m,\n",
+ "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n",
+ "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"I am unable to verify who was awarded the Oceanography Society's Jerlov Award in 2018.\"\u001b[0m\n",
+ "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n",
+ "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n",
+ "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"Radcliffe College was a women's liberal arts college, but it has since been integrated into Harvard University.\"\u001b[0m\n",
+ "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n",
+ "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n",
+ "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"The Leipzig 1877 tournament was organized in the honor of 50th anniversary of the first chess club in Germany \u001b[0m\u001b[32m(\u001b[0m\u001b[32mthe Leipzig Chess Club's\u001b[0m\u001b[32m)\u001b[0m\u001b[32m founding and of the 50th anniversary of Paul Morphy's birth\"\u001b[0m\n",
+ "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n",
+ "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n",
+ "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"Karl Küchler's 1908 guidebook states that Empress Elizabeth of Austria's favorite sculpture, which was made for her villa Achilleion at Corfu, depicted 'Dying Achilles'.\"\u001b[0m\n",
+ "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m\n",
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+ "\u001b[1m)\u001b[0m\n"
]
},
- "metadata": {}
+ "metadata": {},
+ "output_type": "display_data"
}
+ ],
+ "source": [
+ "client.eval_tasks.register(\n",
+ " eval_task_id=\"meta-reference::simpleqa\",\n",
+ " dataset_id=simpleqa_dataset_id,\n",
+ " scoring_functions=[\"llm-as-judge::405b-simpleqa\"]\n",
+ ")\n",
+ "\n",
+ "response = client.eval.evaluate_rows(\n",
+ " task_id=\"meta-reference::simpleqa\",\n",
+ " input_rows=eval_rows.rows,\n",
+ " scoring_functions=[\"llm-as-judge::405b-simpleqa\"],\n",
+ " task_config={\n",
+ " \"type\": \"benchmark\",\n",
+ " \"eval_candidate\": {\n",
+ " \"type\": \"model\",\n",
+ " \"model\": \"meta-llama/Llama-3.2-90B-Vision-Instruct\",\n",
+ " \"sampling_params\": {\n",
+ " \"temperature\": 0.0,\n",
+ " \"max_tokens\": 4096,\n",
+ " \"top_p\": 0.9,\n",
+ " \"repeat_penalty\": 1.0,\n",
+ " },\n",
+ " }\n",
+ " }\n",
+ ")\n",
+ "pprint(response)"
]
},
{
"cell_type": "markdown",
+ "metadata": {
+ "id": "eyziqe_Em6d6"
+ },
"source": [
"## 2. Agentic Evaluation\n",
"\n",
@@ -4343,13 +1248,101 @@
"- Instead of running evaluation on model, we will run the evaluation on a Search Agent with access to search tool. We will define our agent evaluation candidate through `AgentConfig`.\n",
"\n",
"> You will need to set the `TAVILY_SEARCH_API_KEY` in Secrets of this notebook."
- ],
- "metadata": {
- "id": "eyziqe_Em6d6"
- }
+ ]
},
{
"cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 538
+ },
+ "id": "mxLCsP4MvFqP",
+ "outputId": "8be2a32f-2a47-4443-8992-0000c23ca678"
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "5it [00:26, 5.29s/it]\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ "EvaluateResponse(\n",
+ "│ generations=[\n",
+ "│ │ {\n",
+ "│ │ │ 'generated_answer': \"I'm sorry but I cannot find the recipient of the IEEE Frank Rosenblatt Award in 2010.\"\n",
+ "│ │ },\n",
+ "│ │ {\n",
+ "│ │ │ 'generated_answer': \"I'm not sure who was awarded the Oceanography Society's Jerlov Award in 2018. Let me search for the information.\"\n",
+ "│ │ },\n",
+ "│ │ {\n",
+ "│ │ │ 'generated_answer': \"The women's liberal arts college in Cambridge, Massachusetts is called Radcliffe College. However, in 1999, it merged with Harvard University and is now known as the Radcliffe Institute for Advanced Study at Harvard University.\"\n",
+ "│ │ },\n",
+ "│ │ {\n",
+ "│ │ │ 'generated_answer': 'The 1877 Leipzig tournament was organized in honor of Anderssen, a German chess master.'\n",
+ "│ │ },\n",
+ "│ │ {\n",
+ "│ │ │ 'generated_answer': \"Empress Elizabeth of Austria's favorite sculpture, made for her villa Achilleion at Corfu, depicted Achilles.\"\n",
+ "│ │ }\n",
+ "│ ],\n",
+ "│ scores={\n",
+ "│ │ 'llm-as-judge::405b-simpleqa': ScoringResult(\n",
+ "│ │ │ aggregated_results={},\n",
+ "│ │ │ score_rows=[\n",
+ "│ │ │ │ {'score': 'C', 'judge_feedback': 'C.'},\n",
+ "│ │ │ │ {'score': 'C', 'judge_feedback': 'C'},\n",
+ "│ │ │ │ {'score': 'A', 'judge_feedback': 'A'},\n",
+ "│ │ │ │ {'score': 'A', 'judge_feedback': 'A'},\n",
+ "│ │ │ │ {'score': 'B', 'judge_feedback': 'B'}\n",
+ "│ │ │ ]\n",
+ "│ │ )\n",
+ "│ }\n",
+ ")\n",
+ "\n"
+ ],
+ "text/plain": [
+ "\u001b[1;35mEvaluateResponse\u001b[0m\u001b[1m(\u001b[0m\n",
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+ "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n",
+ "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"I'm sorry but I cannot find the recipient of the IEEE Frank Rosenblatt Award in 2010.\"\u001b[0m\n",
+ "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n",
+ "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n",
+ "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"I'm not sure who was awarded the Oceanography Society's Jerlov Award in 2018. Let me search for the information.\"\u001b[0m\n",
+ "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n",
+ "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n",
+ "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"The women's liberal arts college in Cambridge, Massachusetts is called Radcliffe College. However, in 1999, it merged with Harvard University and is now known as the Radcliffe Institute for Advanced Study at Harvard University.\"\u001b[0m\n",
+ "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n",
+ "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n",
+ "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'The 1877 Leipzig tournament was organized in honor of Anderssen, a German chess master.'\u001b[0m\n",
+ "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n",
+ "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n",
+ "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"Empress Elizabeth of Austria's favorite sculpture, made for her villa Achilleion at Corfu, depicted Achilles.\"\u001b[0m\n",
+ "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m\n",
+ "\u001b[2;32m│ \u001b[0m\u001b[1m]\u001b[0m,\n",
+ "\u001b[2;32m│ \u001b[0m\u001b[33mscores\u001b[0m=\u001b[1m{\u001b[0m\n",
+ "\u001b[2;32m│ │ \u001b[0m\u001b[32m'llm-as-judge::405b-simpleqa'\u001b[0m: \u001b[1;35mScoringResult\u001b[0m\u001b[1m(\u001b[0m\n",
+ "\u001b[2;32m│ │ │ \u001b[0m\u001b[33maggregated_results\u001b[0m=\u001b[1m{\u001b[0m\u001b[1m}\u001b[0m,\n",
+ "\u001b[2;32m│ │ │ \u001b[0m\u001b[33mscore_rows\u001b[0m=\u001b[1m[\u001b[0m\n",
+ "\u001b[2;32m│ │ │ │ \u001b[0m\u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[32m'C'\u001b[0m, \u001b[32m'judge_feedback'\u001b[0m: \u001b[32m'C.'\u001b[0m\u001b[1m}\u001b[0m,\n",
+ "\u001b[2;32m│ │ │ │ \u001b[0m\u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[32m'C'\u001b[0m, \u001b[32m'judge_feedback'\u001b[0m: \u001b[32m'C'\u001b[0m\u001b[1m}\u001b[0m,\n",
+ "\u001b[2;32m│ │ │ │ \u001b[0m\u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[32m'A'\u001b[0m, \u001b[32m'judge_feedback'\u001b[0m: \u001b[32m'A'\u001b[0m\u001b[1m}\u001b[0m,\n",
+ "\u001b[2;32m│ │ │ │ \u001b[0m\u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[32m'A'\u001b[0m, \u001b[32m'judge_feedback'\u001b[0m: \u001b[32m'A'\u001b[0m\u001b[1m}\u001b[0m,\n",
+ "\u001b[2;32m│ │ │ │ \u001b[0m\u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[32m'B'\u001b[0m, \u001b[32m'judge_feedback'\u001b[0m: \u001b[32m'B'\u001b[0m\u001b[1m}\u001b[0m\n",
+ "\u001b[2;32m│ │ │ \u001b[0m\u001b[1m]\u001b[0m\n",
+ "\u001b[2;32m│ │ \u001b[0m\u001b[1m)\u001b[0m\n",
+ "\u001b[2;32m│ \u001b[0m\u001b[1m}\u001b[0m\n",
+ "\u001b[1m)\u001b[0m\n"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
"source": [
"agent_config = {\n",
" \"model\": \"meta-llama/Llama-3.1-405B-Instruct\",\n",
@@ -4386,98 +1379,3107 @@
" }\n",
")\n",
"pprint(response)"
- ],
- "metadata": {
- "colab": {
- "base_uri": "https://localhost:8080/",
- "height": 538
- },
- "id": "mxLCsP4MvFqP",
- "outputId": "8be2a32f-2a47-4443-8992-0000c23ca678"
- },
- "execution_count": null,
- "outputs": [
- {
- "output_type": "stream",
- "name": "stderr",
- "text": [
- "5it [00:26, 5.29s/it]\n"
- ]
- },
- {
- "output_type": "display_data",
- "data": {
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- "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"I'm sorry but I cannot find the recipient of the IEEE Frank Rosenblatt Award in 2010.\"\u001b[0m\n",
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- "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"I'm not sure who was awarded the Oceanography Society's Jerlov Award in 2018. Let me search for the information.\"\u001b[0m\n",
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- "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n",
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diff --git a/docs/notebooks/Llama_Stack_Building_AI_Applications.ipynb b/docs/notebooks/Llama_Stack_Building_AI_Applications.ipynb
index e03c51540..f036bfe6b 100644
--- a/docs/notebooks/Llama_Stack_Building_AI_Applications.ipynb
+++ b/docs/notebooks/Llama_Stack_Building_AI_Applications.ipynb
@@ -7,10 +7,10 @@
"id": "c1e7571c"
},
"source": [
- "# Llama Stack - Building AI Applications\n",
- "\n",
"[](https://colab.research.google.com/drive/1F2ksmkoGQPa4pzRjMOE6BXWeOxWFIW6n?usp=sharing)\n",
"\n",
+ "# Llama Stack - Building AI Applications\n",
+ "\n",
"![\"drawing\"](\"https://llama-stack.readthedocs.io/en/latest/_images/llama-stack.png\")
\n",
"\n",
"[Llama Stack](https://github.com/meta-llama/llama-stack) defines and standardizes the set of core building blocks needed to bring generative AI applications to market. These building blocks are presented in the form of interoperable APIs with a broad set of Service Providers providing their implementations.\n",