Innovative Testing Strategies for Language Model Outputs

This chapter delves into effective strategies for testing outputs from language models, highlighting the use of helper models and the role of iterative approaches. It also discusses the importance of monitoring outputs in production and adapting traditional quality assurance techniques to integrate new tools while controlling costs.

Transcript

Play full episode

The AI-powered Podcast Player

Save insights by tapping your headphones, chat with episodes, discover the best highlights - and more!

Get the app