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Building LLMs for Production - AI Engineering Textbook

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Description

Master the art of developing Generative AI and Large Language Models with this comprehensive textbook. Updated in October 2024, this resource serves as an end-to-end guide for anyone looking to enhance their skills in the field of AI. It explores essential methods to adapt foundational LLMs to specific use cases, focusing on increasing accuracy, reliability, and scalability. This book covers the essential tools in an AI Engineer's toolkit, including prompting, fine-tuning, and RAG (Retrieval-Augmented Generation). Written by over 10 experts, it provides a deep dive into building LLM applications that are ready for production environments. Whether you are a developer or a student, this text offers the technical knowledge needed to navigate the evolving world of Generative AI.

Key Features

This textbook covers essential topics for an AI Engineer's toolkit, including prompting, fine-tuning, and RAG.

The content provides methods to adapt foundational LLMs for specific use cases with improved accuracy and reliability.

Updated in October 2024, this resource reflects current industry needs for building scalable LLM applications.

The text explores various ways to enhance the capabilities of Large Language Models for production environments.

Written by a collaborative team of over 10 contributors to provide a wide range of expertise in Generative AI.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
17 May 2024
Listed Since
06 June 2024

Barcode

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