Openlayer

Openlayer

Openlayer is a comprehensive evaluation tool designed specifically for machine learning workflows. It seamlessly integrates into your development and production pipelines, allowing data scientists and engineers to assess and deploy high-quality AI models with confidence. The tool supports a range of tasks, including large language models (LLMs), text classification, tabular classification, and tabular regression. To get started with Openlayer, users can upload their models and datasets directly from their training notebooks or pipelines. With just a few lines of code, users can set up monitoring through the Openlayer API. The onboarding process is quick, typically taking only 60 seconds, allowing for immediate integration into existing workflows. Openlayer offers a free trial for new users, enabling them to test the platform and its features. For those who require additional capabilities or extended usage beyond the trial period, subscription pricing is available, providing various tiers to accommodate different organizational needs. Yes, Openlayer allows users to monitor and test multiple models at the same time, making it easier to compare performance and track variations across different datasets and workflows. Openlayer is committed to data security and compliance. The platform is SOC 2 Type 2 compliant, ensuring that your data is protected throughout its lifecycle. Openlayer can be utilized for evaluating a wide range of machine learning models, including large language models, text classifiers, and regression models, making it suitable for diverse tasks and use cases in the machine learning field. Users can access support through the Openlayer Discord community or consult the extensive documentation provided on their website for troubleshooting and guidance.