Large Language Models for Developers

Lingua: inglese

Editore: Mercury Learning And Information, De Gruyter Jan 2025, 2025

1501523562 / 9781501523564

Da: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, GermaniaRheinberg-Buch Andreas Meier eK

Venditore con 5 stelle

Venditore AbeBooks dal 17 novembre 2008

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EUR 58,95

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Descrizione dell’articolo da parte del venditore

This item is printed on demand - it takes 3-4 days longer - Neuware -This book offers a thorough exploration of Large Language Models (LLMs), guiding developers through the evolving landscape of generative AI and equipping them with the skills to utilize LLMs in practical applications. Designed for developers with a foundational understanding of machine learning, this book covers essential topics such as prompt engineering techniques, fine-tuning methods, attention mechanisms, and quantization strategies to optimize and deploy LLMs. Beginning with an introduction to generative AI, the book explains distinctions between conversational AI and generative models like GPT-4 and BERT, laying the groundwork for prompt engineering (Chapters 2 and 3). Some of the LLMs that are used for generating completions to prompts include Llama-3.1 405B, Llama 3, GPT-4o, Claude 3, Google Gemini, and Meta AI. Readers learn the art of creating effective prompts, covering advanced methods like Chain of Thought (CoT) and Tree of Thought prompts. As the book progresses, it details fine-tuning techniques (Chapters 5 and 6), demonstrating how to customize LLMs for specific tasks through methods like LoRA and QLoRA, and includes Python code samples for hands-on learning. Readers are also introduced to the transformer architecture's attention mechanism (Chapter 8), with step-by-step guidance on implementing self-attention layers. For developers aiming to optimize LLM performance, the book concludes with quantization techniques (Chapters 9 and 10), exploring strategies like dynamic quantization and probabilistic quantization, which help reduce model size without sacrificing performance.FEATURES- Covers the full lifecycle of working with LLMs, from model selection to deployment- Includes code samples using practical Python code for implementing prompt engineering, fine-tuning, and quantization- Teaches readers to enhance model efficiency with advanced optimization techniques- Includes companion files with code and images -- available from the publisher 1046 pp. Englisch.…

Codice articolo 9781501523564

Titolo
Large Language Models for Developers
Autore
Oswald Campesato
Editore
Mercury Learning And Information, De Gruyter Jan 2025
Anno di pubblicazione
2025
Condizione
Neu
Rilegatura
Taschenbuch
Lingua
inglese
ISBN 10
1501523562
ISBN 13
9781501523564
Peso dell'articolo
1479 grammi
Dimensioni
229x152x56 mm

Rheinberg-Buch Andreas Meier eK

Bergisch Gladbach, Germania

Venditore con 5 stelle

Venditore AbeBooks dal 17 novembre 2008

Tariffe di spedizione da Germania a U.S.A.

ArticoloDa 5 a 15 giorni lavorativiDa 2 a 4 giorni lavorativi
Primo articoloEUR 23,00EUR 35,99
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Rheinberg-Buch Andreas Meier eK

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