RAG vs Long Context LLM vs Fine-tuning

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Prepare for the ultimate AI showdown at this year’s DataHack Summit! We're bringing together 3 AI experts to tackle one challenging case problem using three of the hottest techniques in the field: Retrieval-Augmented Generation (RAG), Long Context Language Models, Fine-Tuning  and combining these approaches. This is your chance to see these cutting-edge methods go head-to-head and understand their unique strengths and weaknesses.

It offers a rare opportunity to compare and contrast different problem-solving approaches, learn from leading experts, and expand your understanding of how versatile and dynamic the field can be.

Key Takeaways:

  • Watch as our speakers put RAG, Long Context LLM, and Fine-Tuning to the test, solving the same problem in different ways.
  • Delve into the details of each approach and discover which method excels in different scenarios.
  • Experience the excitement of live demonstrations as our experts showcase their solutions and reveal their thought processes in real-time.

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