MIT Sloan AI Adoption: Build a Playbook That Drives Real Business ROI
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Discover effective strategies for measuring and enhancing LLM product performance in this 36-minute workshop led by Henry Scott-Green, founder of Context.ai. Learn how to build and automate workflows for monitoring, measuring, and improving LLM-powered products. Explore techniques for large-scale prompt testing, gathering user behavior analytics, evaluating AI accuracy, and mitigating hallucinations. Gain insights into Context.ai's evaluation and analytics platform, designed to help developers ship LLM applications with greater confidence. Follow along with a practical airline demo, dive into prompt optimization, and explore the Context.ai Playground. Acquire skills in extracting and visualizing analytics from user transcripts to drive product improvements. Access accompanying code and slides for hands-on learning in this comprehensive guide to enhancing AI-driven product performance.
Syllabus
- Introducing Context.ai
- Airline demo walkthough
- Testing and optimizing prompts
- Context.ai Playground
- Extracting and visualising analytics from user transcripts
Taught by
Chat with data