[itrummer]

I've been giving a few tutorials on large language models for data scientists over the past years and ultimately decided to turn it into a book, now available as an early-access version.

It's a gentle introduction to analyzing various data types (e.g., text, video, audio, and tables) using LLMs and Python. Most of the code samples use OpenAI's GPT-4 Omni model but other providers are discussed as well. Also broaches issues like fine-tuning, cost optimization, LLM-based agents, and the LangChain framework.

Feedback is welcome. Thank you all!