Phillip Krenn - The Bedrock of RAG

Retrieval Augmented Generation (RAG) is one of the hottest topics for making data more accessible and valuable. And it's easy to get started with it on AWS, especially when using Bedrock as the foundation for the Large Language Model (LLM). This talk shows how to get started with RAG on AWS, using a playground to go from custom data to an interactive application in minutes. The second part of the demo then dives into more advanced topics around Bedrock and how to tune your RAG's generation part: * How does the chosen LLM influence quality and performance? * Can you tune the prompt? * Can the LLM also help with the retrieval step? At the end of this session, you will better understand of how to get started and how to get the most out of Bedrock with your AWS-powered RAG.

LinkedIn -   / philippkrenn  

📌 Don’t forget to subscribe for more insights and updates from AWS Community Day!

#RetrievalAugmentedGeneration #RAG #AmazonBedrock #AWS #AI #CloudComputing #PhilippKrenn