Model Sensitivity Testing
Minimum functionality tests are crucial for ensuring consistent outputs from models, regardless of input changes. Invariant perturbations highlight how certain modifications should not affect results, while necessary variant changes must lead to different outputs. Understanding these concepts helps gauge model sensitivity and improve overall performance.In this clip
From this podcast
Practical AI
Creating tested, reliable AI applications
Related Questions
Have you seen a way to unit test large language models (LLMs) that are super helpful, as discussed in the episode How to Systematically Test and Evaluate Your LLMs Apps // Gideon Mendels // #269?
Have you seen a way to unit test large language models (LLMs) that are super helpful, as discussed in the episode How to Systematically Test and Evaluate Your LLMs Apps // Gideon Mendels // #269 and the clip Metric-Driven Experimentation?
I have a question about the episode Holistic Evaluation of Generative AI Systems // Jineet Doshi // #280 and the clip Evaluating AI Reasoning. Have you seen a way to unit test large language models (LLMs) that are super helpful, as discussed in the episode How to Systematically Test and Evaluate Your LLMs Apps // Gideon Mendels // #269?