SFT (Supervised Fine-Tuning)
We provide convenient forms for writing and correcting answers, which allows you to prepare models for specific domain tasks (law, medicine, programming).
LLM training & RLHF data annotation
Expert data markup for training LLM and multimodal models.
Training the next generation of AI
RLHF quality determines how safe, accurate, and human your AI's responses feel. Our interface supports response comparison: annotators rank model answers by quality, toxicity, or usefulness to build a solid training base.
Other powerful solutions
Chat-Flow Annotation
Annotation of multi-turn dialogues. Track conversation context and edit any stage of the dialogue to train reliable chatbots.
Choose your path
The industrial scale
Automate the markup of millions of objects with Autodistill in a matter of hours.
Optimize scaleThe accuracy first
Implement the best segmentation tools and Human-in-the-Loop processes for projects where errors are costly (medicine, security).
Ensure precisionThe budget optimizer
Use Active Learning to label only the most complex data, saving you significant budget.
Reduce costsThe custom bridge
Integrate your own proprietary models into our pipeline.
Integrate AIReady to train better models with cleaner data?
Book a demo and we'll match the right training and RLHF workflow to your models.
Custom solution? hello@keylabs.ai
