Generative AI Agentic AI Toloka develops data and evaluation systems that help train and assess
AI agents. Its work includes RL-Gyms that let models learn through simulated tasks, along with human-in-the-loop methods that combine people and AI in shared workflows.
Machine learning On Toloka, trainers are tasked with identifying the presence or absence of objects in content, as specified by
algorithms. They also assess chatbot responses within given dialogues for relevance and engagement. Additionally, translation verification tasks involve evaluating the accuracy of
translations from multiple annotators. For the fine-tuning of
large language models (LLMs), experts are required to generate and provide context-based prompts that can be single-turn or multi-turn, serving various domains and purposes.
Natural language processing In the
natural language processing (NLP) domain, Toloka facilitates
optical character recognition and classification,
sentiment analysis, named-entity recognition, and search relevance evaluation. It also provides
transcription and classification of audio data. ==Annotators==