Discover the game-changing potential of Retrieval Augmented Generation (RAG)!

This innovative approach combines the vast knowledge of large language models with the precision of information retrieval, setting a new standard for generating accurate and contextually rich text.

As RAG technology continues to evolve, understanding how to build and evaluate RAG applications becomes crucial for anyone looking to stay ahead in the field of AI.

This session will not only cover the basics of RAG but also delve into the practical aspects of choosing information sources, designing retrieval strategies, and integrating these components for optimal performance.

Expect a live demo and a code-share session that will give you hands-on experience on how to build and subsequently evaluate RAG technologies.

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Here's what you will learn in this session:

1. The fundamentals of Retrieval Augmented Generation (RAG) and how it works

2. Strategies for selecting reliable information sources and designing effective retrieval mechanisms.

3. Best practices for integrating retrieval and generation components in RAG applications.

4. Metrics for evaluating the accuracy, relevance, and quality of generated text in RAG systems.

5. Insights into the future of RAG technology and its potential applications across various industries.

Sign up for SingleStore’s Free Shared Tier today! Click the link below and get full access to our cloud data platform without committing to a paid plan

https://bit.ly/singlestore-cloud-free...

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