This book provides a comprehensive overview of large language models (LLMs) and generative AI, covering foundational principles, advanced concepts, and practical applications. It begins with an introduction to the generative AI landscape, examining key features, popular techniques, and its influence on industries like art, business, and technology. The book also explores prominent models like Chat GPT and GPT-4, detailing their architectures, capabilities, and applications in text generation, code assistance, and conversational AI.
Additionally, the book traces the evolution of LLMs, particularly focusing on the BERT family and its wide-ranging applications in natural language processing, translation, and multilingual tasks. Readers will also gain expertise in prompt engineering, learning practical tips and examples to interact more effectively with LLMs.
In later chapters, the book tackles advanced topics such as fine-tuning LLMs, working with SVG, and concepts like few-shot learning and reinforcement learning. It concludes with discussions on ethical issues, biases in generative AI, and emerging trends like AI’s integration with Io T, quantum computing, and neuromorphic computing. This guide equips professionals and enthusiasts with a thorough understanding of generative AI’s present and future.
Oswald Campesato
Large Language Models An Introduction [EPUB ebook]
Understanding the Fundamentals and Applications of Generative AI
Large Language Models An Introduction [EPUB ebook]
Understanding the Fundamentals and Applications of Generative AI
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Langue Anglais ● Format EPUB ● Pages 503 ● ISBN 9781836647362 ● Taille du fichier 1.2 MB ● Éditeur Mercury Learning and Information ● Maison d’édition Packt Publishing ● Lieu San Antonio ● Pays US ● Publié 2024 ● Téléchargeable 24 mois ● Devise EUR ● ID 9979039 ● Protection contre la copie sans