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

Et Tu Code

Narrator Helen Green

Publisher: Et Tu Code

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Summary

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.
Duration: about 4 hours (03:30:50)
Publishing date: 2024-05-03; Unabridged; Copyright Year: — Copyright Statment: —