Evaluating and Debugging Generative AI

About this course

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. This course will introduce you to Machine Learning Operations tools that manage this workload. You will learn to use the Weights & Biases platform which makes it easy to track your experiments, run and version your data, and collaborate with your team.

What you will 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