Pitfalls and Best Practices — 5 lessons from LLMs in Production // Raza Habib // LLMs in Prod Con 2

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This portion is sponsored by Humanloop.
Humanloop helps developers build high-performing applications on top of large language models like GPT-3. You can use it to experiment with new prompts, collect model generated data and user feedback, and finetune models for better performance while optimising costs.

//Abstract
Humanloop has now seen hundreds of companies go on the journey from playground to production. In this talk, we’ll share case studies of what has and hasn’t worked. Raza shares what the common pitfalls are, emerging best practices, and suggestions for how to plan in such a quickly evolving space.

//Bio
Raza is the CEO and Co-founder at Humanloop. He was inspired to work on AI as “the most transformative technology in our lifetimes” after studying under Prof David Mackay while doing Physics at Cambridge. Before Humanloop, Raza was the founding engineer of Monolith AI – applying AI to mechanical engineering, and has built speech systems at Google AI. He has a Ph.D. in Machine Learning from UCL.
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Very helpful overview, appreciate it!!!

kevon