Customizing model responses enables you to deliver differentiated and personalized user experiences.

In this session, learn about the different customization techniques offered by Amazon Bedrock including model fine-tuning and continued pre-training as well as native support for end-to-end Retrieval Augmented Generation (RAG) to deliver more relevant and accurate responses using your proprietary data.