What is Toloka AI?
Toloka AI offers next-level expert data to enhance ML models through Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF). The platform provides access to a global network of skilled experts in over 20 knowledge domains, including math, coding, linguistics, legal, finance and more, and supports over 40 languages.
Toloka ensures high-quality training data with robust infrastructure and advanced technology. Data solutions include customized fine-tuning datasets, preference data for RLHF, and comprehensive model evaluation using human-in-the-loop systems and golden benchmarks. The platform is designed for operational excellence, integrating over 50 automated quality control methods and 61 antifraud measures.
Features
- Customized fine-tuning datasets: Multi-turn and single-turn, agent-based datasets with step-by-step explanations.
- Preferences for RLHF: Instant human feedback, output comparisons, pointwise evaluation, and fine-grained RLHF.
- Model evaluation: Human-in-the-loop evaluation and golden benchmarks with pre-defined or custom datasets.
- ML+Human Data Labeling: High-quality training data with optimized AI+Human pipelines for classification, moderation, and search relevance.
- Data Collection: Collection of diverse human-generated data in various formats (text, image, video, audio).
- Diverse Expert Network: Access to skilled experts in 20+ knowledge domains and 40+ languages.
- Robust Infrastructure: Secure data handling with MS Azure, private and on-premises storage, and compliance with ISO 27001, ISO 27701, SOC 2, GDPR, CCPA, and HIPAA.
Use Cases
- Fine-tuning large language models (LLMs) with domain-specific expertise.
- Training reinforcement learning models using human feedback.
- Evaluating and improving the performance of AI models.
- Collecting diverse, human-generated data to reduce model bias.
- Labeling data for machine learning tasks like classification and moderation.
- Enhancing search relevance with human expertise.
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