Reinforcement Learning from Human Feedback (RLHF)
Train a safer, more accurate model by aligning with human preferences.
Developing RLHF-trained
language models with Toloka
Adapt a language model to your business applications by fine-tuning with human input.
Automate RLHF flows for continuous model training that aligns model output with human values.
Get on-demand access to Toloka's global crowd and capture human preferences at any scale.
Use negative examples in your model training.
Global crowd
With thousands of Tolokers available across every time zone, data labeling is non-stop 24/7.
40+ languages, 100+ countries
Top languages
English, Spanish, Arabic, Portuguese, Russian, Ukrainian, French,German, Italian, Polish, Latvian, Bulgarian, Czech, Turkish, Hindi,Vietnamese, Japanese, Chinese, Korean, Indonesian
Need domain expertise?
Tap into our crowd of expert annotators to find AI trainers knowledgeable in a variety of fields.
Reach out to check availability for your project.
Reach out to check availability for your project
Model output comparison
Help your model learn human preferences with our instant annotation tool. Our trained crowd can compare, rank, and verify multiple versions of model output.
InstructGPT-style data generation
Our domain experts are trained in copywriting and text generation to craft high-quality prompts and responses for training your model.
Don't rely on reinforcement learning alone — advance your language model with human feedback
Success story: Hugging Face and ServiceNow
Powering new language models and research
Our experience working with natural language processing solves real-life business problems and helps advance scientific research and open-source projects with large language models.
Why Toloka
ML technologies
One platform to manage human labeling & ML
Prebuilt scalable infrastructure for training and real-time inference
Flexible foundation models pre-trained on large datasets
Automatic retraining and monitoring out of the box
Diverse global crowd
100+ countries
40+ languages
200k+ monthly active Tolokers
800+ daily active projects
24/7 continuous data labeling
Crowdsourcing technologies
Advanced quality control and adaptive crowd selection
Smart matching mechanisms
10 years of industry experience and proven methodology
Open-source Python library for aggregation methods
Robust secure infrastructure
Privacy-first, GDPR-compliant focus on data protection test
ISO 27001-certified
Multiple data storage options, Microsoft Azure cloud
Automatic scaling to handle any volumes
API and open-source libraries for seamless integration