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Fine Tuning Insights

Jerry discusses the benefits of fine tuning embedding models for better retrieval and the potential of using knowledge graphs for data representation. He highlights the evolving importance of fine tuning in AI and the underappreciated areas within the field.
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    Unsupervised Learning

    Ep 18: LlamaIndex CEO Jerry Liu on Trends in LLM Applications

  • Related Questions

    • I have a question about the episode Navigating Machine Learning Careers: Insights from Meta to Consulting // Ilya Reznik // #286 and the clip Fine Tuning Insights. Can you explain the differences between fine-tuning and training models: LLMs vs custom model applications and when to use each?

    • I have a question about the episode Navigating Machine Learning Careers: Insights from Meta to Consulting // Ilya Reznik // #286 and the clip Fine Tuning Insights on how to train large language models (LLMs) accurately.

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