• Understanding Retrieval-Augmented Generation (RAG): How It Works and When to Use It

  • Nov 11 2024
  • Length: 26 mins
  • Podcast

Understanding Retrieval-Augmented Generation (RAG): How It Works and When to Use It

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  • Summary

  • In this video, we dive into Retrieval-Augmented Generation (RAG), a powerful method for enhancing AI with access to external data sources. We’ll explore how RAG works, why it’s valuable, and when to use it compared to fine-tuning models. You’ll gain a clear understanding of RAG’s benefits, how it complements large language models, and when it’s best to use both RAG and fine-tuning for robust AI solutions. Perfect for AI enthusiasts, tech professionals, or anyone curious about advanced AI applications!


    Key Points Covered:

    • What is Retrieval-Augmented Generation (RAG)?

    • How RAG systems work with external data

    • The differences between RAG and fine-tuning

    • Examples of RAG applications in business and AI workflows

    • When to combine RAG with fine-tuning for the best results


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