Machine learning and AI projects require managing diverse data sources, vast data volumes, model and parameter development, and conducting numerous test and evaluation experiments. Overseeing and tracking these aspects of a program can quickly become an overwhelming task.



Evaluating and Debugging Generative AI

Instructor: Carey Phelps
Access provided by KGiSL Educational Institutions
What you'll learn
- Learn to evaluate programs utilizing LLMs as well as generative image models using platform-independent tools 
- Instrument a training notebook, and add tracking, versioning, and logging 
- Implement monitoring and tracing of LLMs over time in complex interactions 
Skills you'll practice
Details to know
Only available on desktop
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About this project
Instructor

Offered by
How you'll learn
- Hands-on, project-based learning - Practice new skills by completing job-related tasks with step-by-step instructions. 
- No downloads or installation required - Access the tools and resources you need in a cloud environment. 
- Available only on desktop - This project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices. 
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