How Large Language Models Work

Edward Raff, Drew Farris, Stella Biderman

ISBN 10: 1633437086 / ISBN 13: 9781633437081

Editore: Manning Publications, US, 2025

Riguardo questo articolo

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 LLMsUse human feedback, supervised fine-tuning, and Retrieval augmented generation (RAG)Reducing the risk of bad outputs, high-stakes errors, and automation biasHuman-computer interaction systemsCombine LLMs with traditional ML How Large Language Models Work is written by some of the best 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. In clear and simple terms, these experts lay out the foundational concepts of LLMs, the technology's opportunities and limitations, and best practices for incorporating AI into your organization.

Codice articolo LU-9781633437081

Dati bibliografici

• Titolo: How Large Language Models Work
• Editore: Manning Publications, US
• Data di pubblicazione: 2025
• Lingua: Inglese
• ISBN 10: 1633437086
• ISBN 13: 9781633437081
• Rilegatura: Paperback
• Condizione: New
• Peso: 370 grammi

Descrizione articolo

Riassunto

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 written by some of the best 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. In clear and simple terms, these experts lay out the foundational concepts of LLMs, the technology’s opportunities and limitations, and best practices for incorporating AI into your organization.