Learn how large language models like GPT and Gemini work under the hood in plain English.
How Large Language Models Work translates years of expert research on Large Language Models into a readable, focused introduction to working with these amazing systems. It explains clearly how LLMs function, introduces the optimization techniques to fine-tune them, and shows how to create pipelines and processes to ensure your AI applications are efficient and error-free.
In 
How Large Language Models Work you will learn how to:
- Test and evaluate LLMs
 
- Use human feedback, supervised fine-tuning, and Retrieval Augmented Generation (RAG)
 
- Reducing the risk of bad outputs, high-stakes errors, and automation bias
Human-computer interaction systems
 
- Combine LLMs with traditional ML
 
 
How Large Language Models Work is authored by top machine learning researchers at Booz Allen Hamilton, including researcher 
Stella Biderman, Director of AI/ML Research 
Drew Farris, and Director of Emerging AI 
Edward Raff. They lay out how LLM and GPT technology works in plain language that’s accessible and engaging for all.