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Benchmarking Domain Intelligence | Data Brew | Episode 45
Manage episode 478821138 series 2814833
In this episode, Pallavi Koppol, Research Scientist at Databricks, explores the importance of domain-specific intelligence in large language models (LLMs). She discusses how enterprises need models tailored to their unique jargon, data, and tasks rather than relying solely on general benchmarks.
Highlights include:
- Why benchmarking LLMs for domain-specific tasks is critical for enterprise AI.
- An introduction to the Databricks Intelligence Benchmarking Suite (DIBS).
- Evaluating models on real-world applications like RAG, text-to-JSON, and function calling.
- The evolving landscape of open-source vs. closed-source LLMs.
- How industry and academia can collaborate to improve AI benchmarking.
44 פרקים
Manage episode 478821138 series 2814833
In this episode, Pallavi Koppol, Research Scientist at Databricks, explores the importance of domain-specific intelligence in large language models (LLMs). She discusses how enterprises need models tailored to their unique jargon, data, and tasks rather than relying solely on general benchmarks.
Highlights include:
- Why benchmarking LLMs for domain-specific tasks is critical for enterprise AI.
- An introduction to the Databricks Intelligence Benchmarking Suite (DIBS).
- Evaluating models on real-world applications like RAG, text-to-JSON, and function calling.
- The evolving landscape of open-source vs. closed-source LLMs.
- How industry and academia can collaborate to improve AI benchmarking.
44 פרקים
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