diff --git a/docs/source/building_applications/index.md b/docs/source/building_applications/index.md
index 55485ddbc..45dca5a1c 100644
--- a/docs/source/building_applications/index.md
+++ b/docs/source/building_applications/index.md
@@ -4,7 +4,7 @@ Llama Stack provides all the building blocks needed to create sophisticated AI a
 
 The best way to get started is to look at this notebook which walks through the various APIs (from basic inference, to RAG agents) and how to use them.
 
-**Notebook**: [Building AI Applications](docs/notebooks/Llama_Stack_Building_AI_Applications.ipynb)
+**Notebook**: [Building AI Applications](https://github.com/meta-llama/llama-stack/blob/main/docs/notebooks/Llama_Stack_Benchmark_Evals.ipynb)
 
 Here are some key topics that will help you build effective agents:
 
diff --git a/docs/source/building_applications/tools.md b/docs/source/building_applications/tools.md
index 81b4ab68e..c4229b64d 100644
--- a/docs/source/building_applications/tools.md
+++ b/docs/source/building_applications/tools.md
@@ -142,7 +142,7 @@ config = AgentConfig(
 )
 ```
 
-Refer to [llama-stack-apps](https://github.com/meta-llama/llama-stack-apps/blob/main/examples/agents/e2e_loop_with_custom_tools.py) for an example of how to use client provided tools.
+Refer to [llama-stack-apps](https://github.com/meta-llama/llama-stack-apps/blob/main/examples/agents/e2e_loop_with_client_tools.py) for an example of how to use client provided tools.
 
 ## Tool Structure
 
diff --git a/docs/source/distributions/selection.md b/docs/source/distributions/selection.md
index 08c3e985a..aaaf246ee 100644
--- a/docs/source/distributions/selection.md
+++ b/docs/source/distributions/selection.md
@@ -16,7 +16,7 @@ Which templates / distributions to choose depends on the hardware you have for r
   - {dockerhub}`distribution-tgi` ([Guide](self_hosted_distro/tgi))
   - {dockerhub}`distribution-nvidia` ([Guide](self_hosted_distro/nvidia))
 
-- **Are you running on a "regular" desktop or laptop ?** We suggest using the ollama templte for quick prototyping and get started without having to worry about needing GPUs.
+- **Are you running on a "regular" desktop or laptop ?** We suggest using the ollama template for quick prototyping and get started without having to worry about needing GPUs.
   - {dockerhub}`distribution-ollama` ([link](self_hosted_distro/ollama))
 
 - **Do you have an API key for a remote inference provider like Fireworks, Together, etc.?**  If so, we suggest: