There are a couple of new books on the topic that are slated to drop any day now, IIRC. Of what's already published, a few I'm familiar with include:
Transformers for Natural Language Processing and Computer Vision: Explore Generative AI and Large Language Models with Hugging Face, ChatGPT, GPT-4V, and DALL-E 3
https://www.amazon.com/gp/product/1805128728/
Transformer, BERT, and GPT: Including ChatGPT and Prompt Engineering
https://www.amazon.com/gp/product/1683928989/
Introduction to Transformers for NLP: With the Hugging Face Library and Models to Solve Problems
https://www.amazon.com/gp/product/1484288432
Transformers for Machine Learning: A Deep Dive
https://www.amazon.com/gp/product/0367767341/
Natural Language Processing with Transformers, Revised Edition
https://www.amazon.com/gp/product/1098136799
EDIT:
a couple of the ones that I thought were still pending have now been released. I haven't read any of these, but they are ones that caught my eye and that I was planning to get:
Large Language Models: A Deep Dive: Bridging Theory and Practice
https://www.amazon.com/gp/product/3031656466
Building LLMs for Production: Enhancing LLM Abilities and Reliability with Prompting, Fine-Tuning, and RAG
https://www.amazon.com/gp/product/B0D4FFPFW8
Building LLM Powered Applications: Create intelligent apps and agents with large language models
https://www.amazon.com/gp/product/1835462316
The "not yet released" group still includes:
Build a Large Language Model (From Scratch) (ships Oct. 29th)
https://www.amazon.com/gp/product/1633437167
LLM Engineer's Handbook: Master the art of engineering Large Language Models from concept to production (ships Nov. 11th)
https://www.amazon.com/gp/product/1836200072
Hands-On Large Language Models: Language Understanding and Generation (ships ???)
https://www.amazon.com/gp/product/1098150961
