Compared to Galileo, we offer a more comprehensive suite of evals that support more tasks than LLMs and NLP.
We offer more features around error and subpopulation analysis, versioning, running evals during development, and collaboration. Through what (I believe) is a more clean and simple DevEx and UI!
re: Lilac, there’s some intersect w/r/t dataset exploration, but we have more evals than the ones they offer.
More than data quality, we give insights into data drift and model performance and let you set up expectations and get alerts on whether they fail during development and production. + distinct in some of the ways described above
We’re really happy to see more tools and platforms in this space. Definitely a big uptick since we started 3 years ago, w the advent of gen ai this is all top of mind (and deservedly so).
Compared to Galileo, we offer a more comprehensive suite of evals that support more tasks than LLMs and NLP.
We offer more features around error and subpopulation analysis, versioning, running evals during development, and collaboration. Through what (I believe) is a more clean and simple DevEx and UI!
re: Lilac, there’s some intersect w/r/t dataset exploration, but we have more evals than the ones they offer. More than data quality, we give insights into data drift and model performance and let you set up expectations and get alerts on whether they fail during development and production. + distinct in some of the ways described above
We’re really happy to see more tools and platforms in this space. Definitely a big uptick since we started 3 years ago, w the advent of gen ai this is all top of mind (and deservedly so).