large language models work di raff edward (23 risultati)

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Paperback. Condizione: new. Paperback. 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 technologys opportunities and limitations, and best practices for incorporating AI into your organization. Learn how large language models like GPT and Gemini work under the hood in plain English. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Paperback. Condizione: 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.

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Paperback. Condizione: 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.

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Paperback. Condizione: new. Paperback. 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 technologys opportunities and limitations, and best practices for incorporating AI into your organization. Learn how large language models like GPT and Gemini work under the hood in plain English. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Paperback. Condizione: new. Paperback. 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 technologys opportunities and limitations, and best practices for incorporating AI into your organization. Learn how large language models like GPT and Gemini work under the hood in plain English. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condizione: 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. Condizione: 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.