Openlayer - The evaluation workspace for machine learning

Openlayer - The evaluation workspace for machine learning

🚀 Introducing Openlayer: the ultimate AI evaluation workspace! 🤖✨ - Test and monitor Large Language Models 📊 - Catch errors and optimize models effortlessly 🛠️ - Easy workflow with Python 🐍 - Real-time alerts and secure deployment 🔒 Join the Openlayer community now for top-notch ML support! #AI #MachineLearning #Openlayer

  • Openlayer provides testing, evaluation, and observability for Large Language Models (LLMs).
  • Users can track prompts, models, test edge cases, and catch errors in production to ensure AI reliability.
  • It offers features like text classification, tabular classification, and tabular regression.
  • Users can push their workflow with a few lines of Python code to monitor their LLMs.
  • Openlayer facilitates creating tests, keeping track of progress, and testing models automatically.
  • The platform enables monitoring models in production with real-time alerts and versioning.
  • Openlayer ensures seamless notifications, secure deployment, and SOC 2 Type 2 compliance.
  • Users can join the Openlayer community on Discord for support and access documentation.
  • Testimonials from industry experts emphasize the platform's role in improving ML systems and continuous improvement in AI.