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

  • 2024/11/11
  • 再生時間： 26 分
  • ポッドキャスト

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

無料で聴く

ポッドキャストの詳細を見る

  • サマリー

  • 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


    Subscribe for more approachable insights into AI and NLP techniques. Check out more content at keithelliott.me and follow on social!
    続きを読む 一部表示

あらすじ・解説

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


Subscribe for more approachable insights into AI and NLP techniques. Check out more content at keithelliott.me and follow on social!
続きを読む 一部表示

Understanding Retrieval-Augmented Generation (RAG): How It Works and When to Use Itに寄せられたリスナーの声

カスタマーレビュー：以下のタブを選択することで、他のサイトのレビューをご覧になれます。

Audible.co.jp

Amazon.co.jp
レビューはまだありません。