Productionizing AI: How to Think From the End - Foundational Questions for LLM Product Development

Discover how to approach AI projects from the end-user perspective in this 11-minute conference talk from the AI in Production Conference. Learn about the foundational questions to consider when building products incorporating Large Language Models (LLMs). Explore the importance of focusing on the experiential qualities of AI products that users will interact with on the front end. Gain insights from Annie Condon, an experienced data scientist and machine learning professional, as she shares her approach to productionizing AI. Understand the full lifecycle of machine learning projects, from data gathering to model deployment, with an emphasis on creating impactful and user-friendly AI solutions. Benefit from Annie's 7+ years of experience in applying data science and machine learning to various industries, including military, education, and environmental causes.

Intro
Introducing Annie
How to think from the end
Example
Data Science Life Cycle
Questions to Ask
Deploying ML
Conclusion