Episode
Improve AI accuracy and reliability with RAG (Part 3 of 10)
with Yohan Lasorsa
Enhance your AI's accuracy and reliability with Retrieval Augmented Generation (RAG)! Learn how combining retrievers and generators provides precise, up-to-date answers using your own data. You'll see how using sourced data instead of relying on the model's training data can improve user trust, while also making your AI more grounded in the context you provide.
Chapters
- 00:00 - Introduction
- 00:10 - Challenges with AI Outputs
- 00:36 - Understanding Retrieval-Augmented Generation (RAG)
- 01:04 - Benefits of RAG
- 01:53 - How RAG Works
- 02:19 - Implementation of RAG
- 03:50 - Practical Example: Contonso Real Estate Company
- 05:32 - Conclusion and Next Steps
Recommended resources
- Serverless AI chat demo
- Implement RAG training
- Create your AI chat with RAG workshop
- All slides and code samples
Related episodes
Enhance your AI's accuracy and reliability with Retrieval Augmented Generation (RAG)! Learn how combining retrievers and generators provides precise, up-to-date answers using your own data. You'll see how using sourced data instead of relying on the model's training data can improve user trust, while also making your AI more grounded in the context you provide.
Chapters
- 00:00 - Introduction
- 00:10 - Challenges with AI Outputs
- 00:36 - Understanding Retrieval-Augmented Generation (RAG)
- 01:04 - Benefits of RAG
- 01:53 - How RAG Works
- 02:19 - Implementation of RAG
- 03:50 - Practical Example: Contonso Real Estate Company
- 05:32 - Conclusion and Next Steps
Recommended resources
- Serverless AI chat demo
- Implement RAG training
- Create your AI chat with RAG workshop
- All slides and code samples
Related episodes
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