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Data Mesh Radio

Weekly Episode Summaries and Programming Notes – Week of October 29, 2023

Oct 29, 2023
The podcast discusses practical applications of LLMs and the concept of DataMesh. Madoff Shrinoff talks about the early stage of generative AI and challenges of using large language models. The chapter also explores JNI models, layered LLMs, and their cost-effective implementation.
14:53

Podcast summary created with Snipd AI

Quick takeaways

  • Large Language Models (LLMs) can be cost-effective when run in a serverless model, where organizations only pay per query.
  • Starting with existing open source models and gradually adding tighter, more specific inputs can improve the performance of LLMs on specific tasks.

Deep dives

Practical Applications of Gen AI

In episode 264, an interview with Madoff Srinod explores the practical applications and approaches of Large Language Models (LLMs) and how they can be useful for implementing data. The discussion highlights the cost-effectiveness of running LLMs in a serverless model, where organizations only pay per query. Furthermore, the episode emphasizes the importance of having highly specific LLMs that serve a particular purpose rather than generalized models. It is noted that many organizations are not training their own LLMs but leveraging the availability of excellent open source models in the industry.

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