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
Unsupervised Learning
Tailor Solutions, Not One-Size-Fits-All Models
The focus should be on addressing specific customer needs rather than attempting to create a universally competitive model like GPT-5. Emphasizing SQL generation and RAG quality is a strategic priority, with Arctic aiding in these efforts. Additionally, security and privacy are critical considerations in model deployment, requiring businesses to be aware of emerging patterns such as prompt injections. The effectiveness of guardrails in open source models compared to proprietary ones raises important discussions, with Meta's approach to aligning Llama and implementing Cortex Guard resonating positively in the market.
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