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changed colab url to reflect main
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parent
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8 changed files with 12 additions and 14 deletions
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@ -5,7 +5,7 @@
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"id": "5af4f44e",
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"metadata": {},
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"source": [
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"<a href=\"https://colab.research.google.com/github/meta-llama/llama-stack/blob/docs_improvement/docs/zero_to_hero_guide/00_Inference101.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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"<a href=\"https://colab.research.google.com/github/meta-llama/llama-stack/blob/main/docs/zero_to_hero_guide/00_Inference101.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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]
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},
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{
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@ -174,7 +174,7 @@
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"metadata": {},
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"outputs": [
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{
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"name": "stdin",
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"User> 1+1\n"
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@ -188,7 +188,7 @@
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]
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},
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{
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"name": "stdin",
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"User> what is llama\n"
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@ -261,7 +261,7 @@
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"metadata": {},
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"outputs": [
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{
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"name": "stdin",
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"User> 1+1\n"
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@ -307,9 +307,7 @@
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"source": [
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"## Streaming Responses\n",
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"\n",
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"Llama Stack offers a `stream` parameter in the `chat_completion` function, which allows partial responses to be returned progressively as they are generated. This can enhance user experience by providing immediate feedback without waiting for the entire response to be processed.\n",
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"\n",
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"### Example: Streaming Responses"
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"Llama Stack offers a `stream` parameter in the `chat_completion` function, which allows partial responses to be returned progressively as they are generated. This can enhance user experience by providing immediate feedback without waiting for the entire response to be processed."
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]
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},
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{
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"id": "785bd3ff",
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"metadata": {},
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"source": [
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"<a href=\"https://colab.research.google.com/github/meta-llama/llama-stack/blob/docs_improvement/docs/zero_to_hero_guide/01_Local_Cloud_Inference101.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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"<a href=\"https://colab.research.google.com/github/meta-llama/llama-stack/blob/main/docs/zero_to_hero_guide/01_Local_Cloud_Inference101.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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]
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},
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{
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"id": "d2bf5275",
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"metadata": {},
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"source": [
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"<a href=\"https://colab.research.google.com/github/meta-llama/llama-stack/blob/docs_improvement/docs/zero_to_hero_guide/02_Prompt_Engineering101.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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"<a href=\"https://colab.research.google.com/github/meta-llama/llama-stack/blob/main/docs/zero_to_hero_guide/02_Prompt_Engineering101.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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]
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},
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{
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"id": "6323a6be",
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"metadata": {},
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"source": [
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"<a href=\"https://colab.research.google.com/github/meta-llama/llama-stack/blob/docs_improvement/docs/zero_to_hero_guide/03_Image_Chat101.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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"<a href=\"https://colab.research.google.com/github/meta-llama/llama-stack/blob/main/docs/zero_to_hero_guide/03_Image_Chat101.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"<a href=\"https://colab.research.google.com/github/meta-llama/llama-stack/blob/docs_improvement/docs/zero_to_hero_guide/04_Tool_Calling101.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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"<a href=\"https://colab.research.google.com/github/meta-llama/llama-stack/blob/main/docs/zero_to_hero_guide/04_Tool_Calling101.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"<a href=\"https://colab.research.google.com/github/meta-llama/llama-stack/blob/docs_improvement/docs/zero_to_hero_guide/05_Memory101.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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"<a href=\"https://colab.research.google.com/github/meta-llama/llama-stack/blob/main/docs/zero_to_hero_guide/05_Memory101.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"<a href=\"https://colab.research.google.com/github/meta-llama/llama-stack/blob/docs_improvement/docs/zero_to_hero_guide/06_Safety101.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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"<a href=\"https://colab.research.google.com/github/meta-llama/llama-stack/blob/main/docs/zero_to_hero_guide/06_Safety101.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"<a href=\"https://colab.research.google.com/github/meta-llama/llama-stack/blob/docs_improvement/docs/zero_to_hero_guide/07_Agents101.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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"<a href=\"https://colab.research.google.com/github/meta-llama/llama-stack/blob/main/docs/zero_to_hero_guide/07_Agents101.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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]
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},
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{
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