This book begins with an overview of the Generative AI landscape, distinguishing it from conversational AI and shedding light on the roles of key players like Deep Mind and Open AI. It then reviews the intricacies of Chat GPT, GPT-4, Meta AI, Claude 3, and Gemini, examining their capabilities, strengths, and competitors. Readers will also gain insights into the BERT family of LLMs, including ALBERT, Distil BERT, and XLNet, and how these models have revolutionized natural language processing. Further, the book covers prompt engineering techniques, essential foroptimizing the outputs of AI models, and addresses the challenges of working with LLMs, including the phenomenon of hallucinations and the nuances of fine-tuning these advanced models. Designed for software developers, AI researchers, and technology enthusiasts with a foundational understanding of AI, this book offers both theoretical insights and practical code examples in Python. Companion files with code, figures, and datasets are available for downloading from the publisher.FEATURES:Covers in-depth explanations of foundational and advanced LLM concepts, including BERT, GPT-4, and prompt engineering Uses practical Python code samples in leveraging LLM functionalities effectively Discusses future trends, ethical considerations, and the evolving landscape of AI technologies Includes companion files with code, datasets, and images from the book – available from the publisher fordownloading (with proof of purchase)
Campesato Oswald Campesato
Large Language Models [EPUB ebook]
An Introduction
Large Language Models [EPUB ebook]
An Introduction
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Limba Engleză ● Format EPUB ● Pagini 480 ● ISBN 9781501520600 ● Editura Mercury Learning and Information ● Publicat 2024 ● Descărcabil 3 ori ● Valută EUR ● ID 9955792 ● Protecție împotriva copiilor Adobe DRM
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