Summary
This chapter covered some of the most promising Large Language Models in the market. It first differentiated between proprietary and open-source models, with all the related pros and cons. It then offered a deep dive into the architecture and technical features of GPT-4, PaLM-2, CLAUDE 2, LlaMA-2, Falcon LLM and MPT, with the addition of a section covering some Large Multimodal Models (LMMs).Finally, it provided a light framework to help developers deciding which LLMs to pick while building AI-powered applications.Starting from next chapter, we will begin Part 2 of this book, where we will start working hands-on with LLMs within applications.
