Blog

Creating domain-ready datasets: How Toloka's hybrid approach generates realistic and high-quality data

Agentic AI & the Future of Coding

Detecting hidden harm in long contexts: How Toloka built an advanced safety dataset

Does Your Agent Work? AI Agent Benchmarks Explained

Beyond Next-Token Prediction: How Post-Training Teaches LLMs to Reason

Agent Evaluation: Why Simulated Environments are the New Frontier for Data

Toxicity detection: Why we still need human-labeled data

Evaluating Model Reasoning with Rubrics: Building a Domain-Specific Evaluation Dataset

Human-powered evaluation: Actionable feedback for next‑gen video diffusion models

Standardizing AI safety with MLCommons

Toloka Fuels Next Stage of Growth with Investment Led by Bezos Expeditions

AI agents under attack: A case study on advanced agent red-teaming

Introducing JEEM: A new benchmark for evaluating low-resource Arabic dialects

The personality paradox: Teaching AI agents to act like real people

Fixing SWE-bench: A Smarter Way to Evaluate Coding AI