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.
It looks like the book was written by some type of AI writing assistant, as it has errors that show up in those types of tools. There are incomplete sentence fragments and the numbering of the figures has missing numbers in the sequences of numbers used. Also, I can't tell from the table of contents whether the book is properly indexed.
Thanks for the feedback! No, it wasn't written by an AI writing assistant. :-)
I think the problem is the following: until you buy the book, you'll only see every fourth page or so in the chapter preview. Not my choice, that's the standard approach by the publisher. I assume that's why you see incomplete sentences at the beginning and end of each page ...
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!