What is RAG? (Retrieval Augmented Generation)

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Are you curious about Retrieval-Augmented Generation (RAG) and how it enhances generative AI systems? In this video, Mike Gibbs from Go Cloud Careers and AI expert David Linthicum explain what RAG is and how it improves the accuracy and context of AI-generated responses. If you're exploring the cutting-edge of AI, this video breaks down the architecture and practical use of RAG.

In this video, What is RAG? (Retrieval Augmented Generation), you'll learn:
• What is RAG (Retrieval-Augmented Generation) and how it works in AI systems.
• The difference between RAG vs Fine-Tuning for AI models.
• How RAG architectures improve the performance of generative AI by adding context and retrieving updated information.
• The role of inference engines and validation engines in RAG systems for more accurate results.

Whether you're aiming to advance your AI knowledge or pursue a career as an AI architect, this video will give you valuable insights into the future of AI systems.

This video is brought to you by Go Cloud Architects, a leading name in cloud architect training and career development. Whether you're aiming for a cloud architect career or simply want to understand the differences in the AWS certifications vs skills debate, this video is a must-watch.

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00:00 - Introduction
00:38 - What is Retrieval Augmented Generation
04:55 - Improving Accuracy
08:35 - Inference Engines and Validation Engines

#aiarchitecture #aiarchitect #generativeai
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This video really helped me understand how Retrieval-Augmented Generation (RAG) enhances AI systems by adding more context and accuracy.

Super valuable content for anyone diving into AI and cloud architecture.

chautmpham
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Great video, thank you mike and david!😁

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