

Ep 41: Head of AI at Snowflake Baris Gultekin on Why They Built Their Own LLM, Governance as a Moat, and the Most Common Enterprise Use-Cases
36 snips Aug 28, 2024
Baris Gultekin, the Head of AI at Snowflake, oversees the development of innovative AI tools, including their proprietary LLM, Arctic. He shares insights on how Snowflake enhances business intelligence with efficient data applications and discusses the intricacies of building Arctic, including challenges and solutions. Gultekin emphasizes the significance of data governance and security in AI deployment. The conversation also touches on the dynamic between open-source and closed-source AI models, highlighting the critical role of partnerships in advancing AI capabilities.
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Arctic LLM's Purpose
- Snowflake built Arctic LLM to address customer needs for BI-type experiences using AI.
- This includes natural language to SQL translation and instruction following.
Arctic LLM's Optimization
- Arctic LLM is optimized for enterprise tasks like SQL Copilot and chatbot functionality.
- It prioritizes these functions over creative text generation, though it can still perform them.
BI Challenges and Solutions
- Real-world BI data is messy, requiring more than just an LLM.
- Snowflake's Cortex Analyst uses multiple LLMs and self-healing systems for higher quality.