Summary

In this chapter, we explored the exciting world of generative AI and learned how to harness its power on Kubernetes. We started by understanding the fundamental concepts of generative AI, its underlying mechanisms, and how it differs from traditional machine learning approaches.

We then leveraged Amazon Bedrock, a comprehensive suite of services, to build and deploy generative AI applications. We learned how to work with Bedrock’s foundational models, such as Claude 3 Haiku and Claude 3 Sonnet, and how to integrate them into a Streamlit application for interactive user experiences.

Next, we delved into the concept of RAG, which combines the power of generative AI with external knowledge bases. We built a RAG system using Knowledge Bases for Amazon Bedrock, enabling our application to access and leverage vast amounts of structured data, improving the accuracy and relevance of the generated output.

Finally, we explored Agents for Amazon Bedrock, a powerful feature...