diff --git a/docs/notebooks/Llama_Stack_Benchmark_Evals.ipynb b/docs/notebooks/Llama_Stack_Benchmark_Evals.ipynb
index 8eecf84ab..f3f41b18a 100644
--- a/docs/notebooks/Llama_Stack_Benchmark_Evals.ipynb
+++ b/docs/notebooks/Llama_Stack_Benchmark_Evals.ipynb
@@ -1017,14 +1017,14 @@
         "    \"content\": SYSTEM_PROMPT_TEMPLATE.format(subject=subset),\n",
         "}\n",
         "\n",
-        "client.eval_tasks.register(\n",
-        "    eval_task_id=\"meta-reference::mmmu\",\n",
+        "client.benchmarks.register(\n",
+        "    benchmark_id=\"meta-reference::mmmu\",\n",
         "    dataset_id=f\"mmmu-{subset}-{split}\",\n",
         "    scoring_functions=[\"basic::regex_parser_multiple_choice_answer\"],\n",
         ")\n",
         "\n",
-        "response = client.eval.evaluate_rows(\n",
-        "    task_id=\"meta-reference::mmmu\",\n",
+        "response = client.eval.evaluate_rows_alpha(\n",
+        "    benchmark_id=\"meta-reference::mmmu\",\n",
         "    input_rows=eval_rows,\n",
         "    scoring_functions=[\"basic::regex_parser_multiple_choice_answer\"],\n",
         "    task_config={\n",
@@ -1196,14 +1196,14 @@
         "    provider_id=\"together\",\n",
         ")\n",
         "\n",
-        "client.eval_tasks.register(\n",
-        "    eval_task_id=\"meta-reference::simpleqa\",\n",
+        "client.benchmarks.register(\n",
+        "    benchmark_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",
+        "response = client.eval.evaluate_rows_alpha(\n",
+        "    benchmark_id=\"meta-reference::simpleqa\",\n",
         "    input_rows=eval_rows.rows,\n",
         "    scoring_functions=[\"llm-as-judge::405b-simpleqa\"],\n",
         "    task_config={\n",
@@ -1351,8 +1351,8 @@
         "    \"enable_session_persistence\": False,\n",
         "}\n",
         "\n",
-        "response = client.eval.evaluate_rows(\n",
-        "    task_id=\"meta-reference::simpleqa\",\n",
+        "response = client.eval.evaluate_rows_alpha(\n",
+        "    benchmark_id=\"meta-reference::simpleqa\",\n",
         "    input_rows=eval_rows.rows,\n",
         "    scoring_functions=[\"llm-as-judge::405b-simpleqa\"],\n",
         "    task_config={\n",