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Large Language Models An Introduction. Understanding the Fundamentals and Applications of Generative AI Mercury Learning and Information, Oswald Campesato

(ebook) (audiobook) (audiobook) Język publikacji: angielski
Large Language Models An Introduction. Understanding the Fundamentals and Applications of Generative AI Mercury Learning and Information, Oswald Campesato - okladka książki

Large Language Models An Introduction. Understanding the Fundamentals and Applications of Generative AI Mercury Learning and Information, Oswald Campesato - okladka książki

Large Language Models An Introduction. Understanding the Fundamentals and Applications of Generative AI Mercury Learning and Information, Oswald Campesato - audiobook MP3

Large Language Models An Introduction. Understanding the Fundamentals and Applications of Generative AI Mercury Learning and Information, Oswald Campesato - audiobook CD

Autorzy:
Mercury Learning and Information, Oswald Campesato
Wydawnictwo:
Mercury Learning (Z chęcią przeczytam książkę w języku polskim)
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
503
Dostępne formaty:
     PDF
     ePub
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 ChatGPT 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 IoT, quantum computing, and neuromorphic computing. This guide equips professionals and enthusiasts with a thorough understanding of generative AI's present and future.

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O autorach książki

MERCURY LEARNING and INFORMATION publishes content in the areas of science and medicine, technology and computing, engineering, and mathematics designed for the professional/reference, trade, library, higher education, career school, and online training markets.
Oswald Campesato specializes in Deep Learning, Python, Data Science, and generative AI. He is the author/co-author of over forty books including Google Gemini for Python, Data Cleaning, and GPT-4 for Developers (all Mercury Learning).

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