Openlayer is a powerful testing and observability platform for ML. It lets you collaborate with others on finding issues in models and data, debugging them, and committing new versions.
We've been using Openlayer for the past couple of months, and it has been a valuable asset to our team. The platform's timeline feature is excellent for tracking progress, and collaborating with the team is effortless. The Openlayer team is highly responsive to feedback and feature requests, making it a top-notch platform for gaining insights into machine-learning models
Optimizing an ML model at scale requires a bunch of different tools and lots of work by the engineers + data scientists. Love that Openlayer can do all of this for a company (detect errors, suggest new optimizations, etc.), definitely a game-changer for ML teams! 👏🏾
Very cool approach to ML testing. I like how you track against commits and help define goals as you define the pipeline. One question - how do define the "root cause" that you mention when solving failed goals?
