RAG, LLM's and Prompt Engineering: A Comprehensive Guide on Retrieval-Augmented Generation (RAG) Technology, Large Language Models (LLM's), 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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- 3H 30min
- Język
- angielski
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Literatura Faktu
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
Data wydania
Audiobook: 20 maja 2024
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