Reasoning Machines - Building Defensible Apps with LLMs
Offered By: MLOps.community via YouTube
Course Description
Overview
Explore the potential of large language models (LLMs) in building defensible and innovative applications in this 14-minute lightning talk from the LLMs in Production Conference. Discover how to leverage the entire technology stack surrounding LLMs to create "reasoning machines" that go beyond simple wrappers. Learn from industry experts Justin Uberti, CTO and Co-founder of Fixie.ai, and Jon Turow, Partner at Madrona Venture Group, as they share insights on building moats and developing groundbreaking products using LLM technology. Gain valuable perspectives from their extensive experience in tech giants like Google and AWS, as well as their involvement in pioneering projects such as WebRTC and cloud gaming services.
Syllabus
Reasoning Machines // Justin Uberti & Jon Turow // LLMs in Production Conference Lightning Talk 1
Taught by
MLOps.community
Related Courses
Using Amazon GameLift FleetIQ for Game Servers (Traditional Chinese)Amazon Web Services via AWS Skill Builder Using Amazon GameLift FleetIQ for Game Servers (Portuguese)
Amazon Web Services via AWS Skill Builder Amazon GameLift Primer (Italian)
Amazon Web Services via AWS Skill Builder Using Amazon GameLift FleetIQ for Game Servers (Japanese)
Amazon Web Services via AWS Skill Builder Using Amazon GameLift FleetIQ for Game Servers
Amazon Web Services via AWS Skill Builder