Explore strategies for creating differentiated products using large language models (LLMs) in this 24-minute conference talk from the LLMs in Production series. Examine case studies of successful and unsuccessful companies to extract valuable lessons for building defensible products. Learn from Raza Habib, CEO and Co-founder of Humanloop, as he shares insights gained from his extensive experience in AI, including work at Google AI and Monolith AI. Discover how to leverage LLMs effectively while standing out in a competitive market where many are utilizing the same base models.
Overview
Syllabus
Building Defensible Products with LLMs // Raza Habib // LLMs in Production Conference Talk
Taught by
MLOps.community
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