Data labeling for Generative AI and LLM
Bring your Language Models to the next level with human input
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
Success story: Hugging Face and ServiceNow
Data is the key to success — whether you're building your own models or applying foundation models to your business
COMING SOON: QUICK START ANNOTATION FOR LLM DEVELOPMENT
Toloka offers best in class expertise in fine tuning and evaluation of language models
Fine-tuning the model
Build safe and accurate language applications with high-quality custom data.
Easy access to multi-language data with our global crowd
Domain-specific expertise with highly skilled annotators (Mathematics, Programming, Linguistics etc.)
RLHF
Get instant feedback from annotators to retrain the model
Rely on our experience with complex labeling pipelines for exceptional speed and accuracy
Collect feedback via live human interaction with the model
Use negative examples in your model training
Model evaluation
Continuous model evaluation is essential
for consistent performance.
Monitor quality in production applications
Obtain unbiased feedback for model improvement
Quality metrics for your LLM
Continuous model evaluation is essential
for consistent performance.
Rely on our experience with complex labeling pipelines for exceptional speed and accuracy
Make metrics-based decisions before releasing new model versions
