Summary
This chapter covered some of the most promising LLMs 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 LMMs. Finally, it provided a light framework to help developers decide which LLMs to pick while building AI-powered applications. This is pivotal to get the greatest impact from your application, given your industry-specific scenario.
Starting from the next chapter, we will start working hands-on with LLMs within applications.
