Raff Edward Farris Drew Biderman (16 results)

Condition: very_good. Item may have minor cosmetic defects marks, wears, cuts, bends, crushes on the cover, spine, pages or dust cover. Shrink wrap, dust covers, or boxed set case may be missing. Item may contain remainder marks on outside edges, which should be noted in Product Details. Item may be missing bundled media.

Condition: As New. Unread copy in mint condition.

Condition: New. Brand New.

Condition: New.

Condition: As New. Unread book in perfect condition.

Paperback. Condition: New. 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.

Paperback. Condition: New. 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.

Condition: New. 1st edition NO-PA16APR2015-KAP.

Condition: New.

Condition: New.

Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Condition: As New. Unread book in perfect condition.

Condition: New.

Paperback. Condition: Brand New. 176 pages. 9.00x7.25x0.50 inches. In Stock.

Paperback. Condition: New. 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.

Paperback. Condition: New. 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.