Reproducible Research Code
Joel emphasizes the importance of writing unit tests for research code to ensure models are functioning correctly, highlighting the significance of reproducibility in AI research. Writing tests with small datasets helps verify model performance and avoid scientific inaccuracies.In this clip
From this podcast
Practical AI
AI code that facilitates good science
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 and the clip Metric-Driven Experimentation?
Are there any podcast episodes where they explain how to write best practice code with AI?