Domain-specific LLMs, RAG AI & Prompt Engineering: A Comprehensive Guide to Building Custom Language Models, Retrieval Augmented Generative AI, and Prompt Engineering Et Tu Code
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Retrieval Augmented Generation (RAG) AI: A Comprehensive Guide to Building and Deploying Intelligent Systems with RAG Technology
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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.
© 2024 Et Tu Code (Hljóðbók): 9798882247361
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Hljóðbók: 20 maj 2024
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