LLM Engineer's Handbook: Master the art of engineering large language models from concept to production

International transport with Amazon is good, my order has damage a little bit (95%+ is good). I buy 3 best seller books for AI Engineer, these are good to open mind to people who don’t have background in AI engineer. They explain from basic to give better understanding to grapes information how AI systems production.

This book was written by a pair of engineers who are well-known in their field, and it leaves nothing uncovered. The way they structure the content is something I haven’t seen in many online courses from prestigious educational institutions. It fully equips the reader to become a hero in whatever field they choose to apply this knowledge. The emphasis on MLOps and DEVOps ensures that what you build is scalable, highly professional, and measurable.

Great book for people to understand the LLMs and get into the depth of LLMs and how it works

I'm looking forward to second edition

I Learned how devops is implemented through LLM’s and essentially how to construct more modular code to bring LLM’s and ML models into production environments. I plan on integrating it fully on the cloud as proof of my learning!

Probably full of useful, legitimate, and honest best practices to form the base for a LLM engineer reference. However, almost from the outset it is an overt commercial endeavor to sell pieces of the puzzle described in this book. But it doesn't end there. Nonetheless, although its' open source foundation, it is well written, it is illustrated to include copious code snippets, and it is from very credible sources.

I've been working in software engineering for over 10 years and would like to know more about LLMs. This was a great resource to help me understanding LLMs from the ground up. I highly recommend this book to those who are in the same boat as me.

this handbook is a great LLM starter guide