Build safe and accurate language
applications with high-quality custom data.
Continuous model evaluation is essential
for consistent performance.
Ensuring truthfulness given LLMs' hallucinations NPS or other users feedback collection are likely to be biased.
General purpose LLM applications responses can be challenging to evaluate.
Offline evaluation allows to make decisions about new version of the model before production release.