Publicado por Packt Publishing (edition ), 2024
ISBN 10: 1835462316 ISBN 13: 9781835462317
Idioma: Inglés
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Añadir al carritopaperback. Condición: Very Good.
Publicado por Packt Publishing 5/22/2024, 2024
ISBN 10: 1835462316 ISBN 13: 9781835462317
Idioma: Inglés
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Añadir al carritoPaperback or Softback. Condición: New. Building LLM Powered Applications: Create intelligent apps and agents with large language models. Book.
Publicado por Packt Publishing
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Publicado por Packt Publishing Limited, GB, 2024
ISBN 10: 1835462316 ISBN 13: 9781835462317
Idioma: Inglés
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Añadir al carritoPaperback. Condición: New. The book provides a solid theoretical foundation of what LLMs are, their architecture. With a hands-on approach we provide readers with a step-by-step guide to implementing LLM-powered apps for specific tasks and using powerful frameworks like LangChain.
Publicado por Packt Publishing Limited, GB, 2024
ISBN 10: 1835462316 ISBN 13: 9781835462317
Idioma: Inglés
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
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Añadir al carritoPaperback. Condición: New. The book provides a solid theoretical foundation of what LLMs are, their architecture. With a hands-on approach we provide readers with a step-by-step guide to implementing LLM-powered apps for specific tasks and using powerful frameworks like LangChain.
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Publicado por Packt Publishing Limited, GB, 2024
ISBN 10: 1835462316 ISBN 13: 9781835462317
Idioma: Inglés
Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de America
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Añadir al carritoPaperback. Condición: New. The book provides a solid theoretical foundation of what LLMs are, their architecture. With a hands-on approach we provide readers with a step-by-step guide to implementing LLM-powered apps for specific tasks and using powerful frameworks like LangChain.
Publicado por Packt Publishing Limited, GB, 2024
ISBN 10: 1835462316 ISBN 13: 9781835462317
Idioma: Inglés
Librería: Rarewaves.com UK, London, Reino Unido
EUR 59,26
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Añadir al carritoPaperback. Condición: New. The book provides a solid theoretical foundation of what LLMs are, their architecture. With a hands-on approach we provide readers with a step-by-step guide to implementing LLM-powered apps for specific tasks and using powerful frameworks like LangChain.
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Añadir al carritoPAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Añadir al carritoTaschenbuch. Condición: Neu. Building LLM Powered Applications | Create intelligent apps and agents with large language models | Valentina Alto | Taschenbuch | Englisch | 2024 | Packt Publishing | EAN 9781835462317 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Get hands-on with GPT 3.5, GPT 4, LangChain, Llama 2, Falcon LLM and more, to build LLM-powered sophisticated AI applicationsKey FeaturesEmbed LLMs into real-world applicationsUse LangChain to orchestrate LLMs and their components within applicationsGrasp basic and advanced techniques of prompt engineeringBook DescriptionBuilding LLM Powered Applications delves into the fundamental concepts, cutting-edge technologies, and practical applications that LLMs offer. Ultimately paving the way for the emergence of Large Foundation Models (LFMs) that extend the boundaries of AI capabilities.The book begins with an in-depth introduction to LLMs. We then explore various mainstream architectural frameworks, including both proprietary models (GPT 3.5/4) and open-source models (Falcon LLM), and analyze their unique strengths and differences. Moving ahead, with a focus on the Python-based, lightweight framework called LangChain. We guide readers through the process of creating intelligent agents capable of retrieving information from unstructured data and engaging with structured data using LLMs and powerful toolkits. Furthermore, the book ventures into the realm of LFMs, which transcend language modeling to encompass various AI tasks and modalities, such as vision and audio.Whether you are a seasoned AI expert or a newcomer to the field, this book is your roadmap to unlock the full potential of LLMs and forge a new era of intelligent machines.What you will learnCore components of LLMs' architecture, including encoder-decoders blocks, embedding and so onGet well-versed with unique features of LLMs like GPT-3.5/4, Llama 2, and Falcon LLMUse AI orchestrators like LangChain, and Streamlit as frontendGet familiar with LLMs components such as memory, prompts and toolsLearn non-parametric knowledge, embeddings and vector databasesUnderstand the implications of LFMs for AI research, and industry applicationsCustomize your LLMs with fine tuningLearn the ethical implications of LLM-powered applicationsWho this book is forSoftware engineers and data scientists who want hands-on guidance for applying LLMs to build applications. The book will also appeal to technical leaders, students, and researchers interested in applied LLM topics.We don't assume previous experience with LLM specifically. But readers should have core ML/software engineering fundamentals to understand and apply the content.