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Cover for Retrieval Augmented Generation (RAG) AI: A Comprehensive Guide to Building and Deploying Intelligent Systems with RAG Technology

Retrieval Augmented Generation (RAG) AI: A Comprehensive Guide to Building and Deploying Intelligent Systems with RAG Technology

Duration
3H 30min
Language
English
Format
Category

Non-Fiction

Unlock the power of intelligent systems with this comprehensive guide to building and deploying RAG technology. The audiobook covers the fundamentals, architecture, applications, and best practices for creating high-performing RAG AI models. Topics include:

Introduction to RAG: Understanding the concept and its significance

Retrieval Models: Learn about the different types and their strengths

Generative Language Models: Explore the capabilities of language-based RAG

RAG Architecture: Dive into the design and implementation details

Applications of RAG: Discover real-world use cases and potential applications

The audiobook also covers advanced topics such as fine-tuning, customization, challenges, future trends, and ethical considerations. You'll learn how to create RAG AI from scratch, explore project examples, and gain insights on cloud support, multimodal, cross-language, and dynamic contextualization aspects.

Get ready to master the art of RAG AI and unlock its potential for revolutionizing industries and transforming businesses.

© 2024 Et Tu Code (Audiobook): 9798882247361

Release date

Audiobook: 20 May 2024

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