Best Practices for GenAI applications on AWS - RAG pipeline Eval - Part 4 | Amazon Web Services

Опубликовано 10 июня 2024, 22:22

This multi-part series takes a practical approach working backwards from customer use cases and what made them successful in building a robust GenAI application. Since the technology is so nascent, customers often get lost in the vast content available and lack direction on execution. This includes starting with as simple as not knowing how to choose a model for their use case all the way through deploying and monitoring a production ready model. In this part 3, we walk you though a notebook and outline how to build and test an application, which evaluation tools and metics to use and finally encapsulate all results in visuals to help you arrive at the right model for your use case.

Here is the link to the demo git code: go.aws/4aP1iW1

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