Future Trends in Pretraining Foundation Models

In this chapter, we’ll close out the book by pointing to where trends are headed for all relevant topics presented in this book. We’ll explore trends in foundation model application development, like using LangChain to build interactive dialogue applications, along with techniques like retrieval augmented generation to reduce LLM hallucination. We’ll explore ways to use generative models to solve classification tasks, human-centered design, and other generative modalities like code, music, product documentation, powerpoints, and more! We’ll talk through AWS offerings like SageMaker JumpStart Foundation Models, Amazon Bedrock, Amazon Titan, and Amazon Code Whisperer, and top trends in the future of foundation models and pretraining itself.

In particular, we’ll dive into the following topics:

• Techniques for building applications for LLMs
• Generative modalities outside of vision and language...