Benchmarking Domain Intelligence | Data Brew | Episode 45

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Databricks द्वारा प्रदान की गई सामग्री. एपिसोड, ग्राफिक्स और पॉडकास्ट विवरण सहित सभी पॉडकास्ट सामग्री Databricks या उनके पॉडकास्ट प्लेटफ़ॉर्म पार्टनर द्वारा सीधे अपलोड और प्रदान की जाती है। यदि आपको लगता है कि कोई आपकी अनुमति के बिना आपके कॉपीराइट किए गए कार्य का उपयोग कर रहा है, तो आप यहां बताई गई प्रक्रिया का पालन कर सकते हैं https://hi.player.fm/legal।

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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 एपिसोडस

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