Implement a recurring HITL model evaluation workflow with Label Studio to keep a pulse on what’s really happening with your GenAI/ML models in production.
We're excited to announce a new integration between Label Studio Enterprise and IBM WatsonX, allowing you to access to the WatsonX.ai models and upload your labeled data into your WatsonX.data account.
Learn how to use the ML Backend in Label Studio to speed up your labeling and improve time-to-insight using models like YOLO.
Learn how to reduce your labeling costs by 5x while quadrupling labeling throughput with a high degree of accuracy using GenAI.
Learn why strong model evaluation workflows are essential for building reliable and trustworthy GenAI applications.
Learn how Label Studio Plugins let you import external libraries, integrate services, automate actions, and build complex labeling logic in Label Studio with just a bit of JavaScript.
Whether you’re fine-tuning an LLM or building your own predictive model from scratch, your model is only as powerful and accurate as the quality of the data that you feed into it. That’s why we built Label Studio - to make getting quality data as efficient as possible.