# Model evaluation notebook tutorials
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This section provides the following notebook tutorials, which include example code and explanations:
+ How to evaluate a JumpStart model for prompt stereotyping.
+ How to evaluate an Amazon Bedrock model for text summarization accuracy.

**Topics**
+ [Evaluate a JumpStart model for prompt stereotyping](clarify-foundation-model-evaluate-auto-tutorial-one.md)
+ [Evaluate an Amazon Bedrock model for text summarization accuracy](clarify-foundation-model-evaluate-auto-tutorial-two.md)
+ [Additional notebooks](#clarify-foundation-model-evaluate-auto-tutorial-ex)

## Additional notebooks
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The [fmeval GitHub](https://github.com/aws/fmeval/tree/main/examples) directory contains the following additional example notebooks:
+ [bedrock-claude-factual-knowledge.ipnyb](https://github.com/aws/fmeval/blob/main/examples/bedrock-claude-factual-knowledge.ipynb) – Evaluates an [Anthropic Claude 2](https://www.anthropic.com/index/claude-2) model hosted on Amazon Bedrock for factual knowledge.
+ [byo-model-outputs.ipynb](https://github.com/aws/fmeval/blob/main/examples/byo-model-outputs.ipynb) – Evaluates a [Falcon 7b model](https://huggingface.co/tiiuae/falcon-7b) hosted on JumpStart for factual knowledge where you bring your own model outputs instead of sending inference requests to your model.
+ [custom\$1model\$1runner\$1chat\$1gpt.ipnyb](https://github.com/aws/fmeval/blob/main/examples/custom_model_runner_chat_gpt.ipynb) – Evaluates a custom `ChatGPT 3.5` model hosted on `Hugging Face` for factual knowledge.