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

Retrieval Augmented Generation (RAG) AI

A Comprehensive Guide to Building and Deploying Intelligent Systems with RAG Technology

Author: Et Tu Code

Narrated by: Helen Green

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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.

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You Can Find This Audiobook In

Non-FictionComputing & I.T.Computer ScienceArtificial IntelligenceExpert Systems & Knowledge-Based SystemsNatural Language & Machine Translation

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