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Practical AI

RAG continues to rise

Apr 10, 2024
Demetrios Brinkmann, known as “the funniest guy in AI,” shares insights from the MLOps Community's latest survey. The conversation dives into the rise of Retrieval-Augmented Generation (RAG) and its advantages over traditional methods. They explore how RAG engages non-technical users and tackle the challenges of AI implementation, particularly with chatbots. With a nod to the future, the topic of neuromorphic computing sparks intrigue as they discuss potential advancements that could reshape AI technology.
48:19

Podcast summary created with Snipd AI

Quick takeaways

  • Shift towards using generative models for AI tasks as assistants rather than predictors.
  • Companies are allocating new budgets for generative AI exploration and focusing on high leverage AI use cases.

Deep dives

Rags vs. Fine Tuning in AI Models

Generative models like rags are gaining popularity over fine-tuning for various AI tasks. The discussion highlighted the shift towards using generative models as assistants and automators rather than predictors or for analytical tasks. The emergence of 'rag as a service' was noted, indicating a trend in utilizing generative models effectively.

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