More Updates to Read the Docs (#856)

docs/source/building_applications/evaluation.md

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+## Testing & Evaluation
+
+Llama Stack provides built-in tools for evaluating your applications:
+
+1. **Benchmarking**: Test against standard datasets
+2. **Application Evaluation**: Score your application's outputs
+3. **Custom Metrics**: Define your own evaluation criteria
+
+Here's how to set up basic evaluation:
+
+```python
+# Create an evaluation task
+response = client.eval_tasks.register(
+    eval_task_id="my_eval",
+    dataset_id="my_dataset",
+    scoring_functions=["accuracy", "relevance"]
+)
+
+# Run evaluation
+job = client.eval.run_eval(
+    task_id="my_eval",
+    task_config={
+        "type": "app",
+        "eval_candidate": {
+            "type": "agent",
+            "config": agent_config
+        }
+    }
+)
+
+# Get results
+result = client.eval.job_result(
+    task_id="my_eval",
+    job_id=job.job_id
+)
+```