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Retrieval Augmented Generation

May 17, 2024
44:09
Snipd AI
Syed Asad, an Innovator and AI Engineer, discusses Retrieval Augmented Generation (RAG), Semantic Vector Searches, and Vector Databases reshaping data landscapes. Topics include AI model deployment complexities, AI evaluation frameworks, challenges in client approval, and struggles with data ingestion in AI environments.
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Podcast summary created with Snipd AI

Quick takeaways

  • Retrieval Augmented Generation combines information retrieval with generative models for AI advancement.
  • Testing methodologies are crucial for AI tool deployment in production, emphasizing iteration and customization.

Deep dives

In-depth Discussion on AI Tools and Production Challenges

The podcast delves into a detailed discussion with Asad, a senior AI engineer at Kiwi Tech, exploring the complexities and challenges faced in AI tool deployment in a production environment. Asad candidly shares his experiences with various open source projects and tools, emphasizing the importance of thorough testing and iteration. He highlights the significance of proper testing methodologies, especially in scenarios where quick deployment is crucial.

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