RAG or Fine-tuning - Which is best?

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  • Опубликовано: 3 апр 2024
  • In this episode of Future of Data and AI podcast, Jerry Liu explores Retrieval Augmented Generation (RAG) and fine-tuning in detail, discussing their benefits, trade-offs, use cases, and enterprise adoption, making these complex topics not just easily understandable but also fascinating.
    Jerry also dives deep into his entrepreneurial journey and the broader impact of generative AI on society. Watch our full podcast episode here:
    • CEO of LlamaIndex, Jer...
    #ai #generativeai #llms #rag #finetuning #llamaindex #langchain #entrepreneur #technology #podcast

Комментарии • 1

  • @jsfnnyc
    @jsfnnyc 3 дня назад

    But are fine-tuned models better than RAGs?