How to Set Up a Data Labeling Project on Toloka (Step-by-Step)

Data for AI Agents: RL Gyms and Virtual Environments

Building AI Agents That Actually Work | Production-Ready AI Systems

Agentic AI & the Future of Coding | Toloka Podcast

Data Production In The Era Of AI Agents

How Multilingual Data Is Reshaping LLMs and VLMs

Evaluating Mathematical Reasoning in LLMs

Custom Safety Evaluations for AI Systems and Agents. AI & Big Data Expo Global 2025

Navigating Post Training for Coding LLMs

How Safe Is Safe Enough? Red Teaming and Risk Evaluation for LLMs

Beyond Buzzwords: Practical Approaches to Mitigating Biases in the Age of LLMs

AI for Retail: Driving the New Consumer Experience

Ai4 2023: Data Management, Flow and Pipelines

Сustomer testimonial: Hugging Face and ServiceNow

Toloka Fest

Who will be our guide on a path to Trustful and Fair AI?

Human-centered AI for the Future of Work

Intro to Crowdsourcing with Toloka

Panel Discussion on Human-AI Collaborations

Low-resource, high-impact: Modern NLP solutions for under-resourced languages

Does one size fit all or is there a need for domain-specific LLMs?

Scaling challenges of LLMs

Next-level ecommerce: A winning formula to surpass your competitors

AI governance at scale

Trust and safety challenges of AI-generated images

Panel discussion on Responsible AI

Power to the people: How crowdsourcing can democratize LLMs

Overcoming scaling challenges for complex systems with Toloka

Panel discussion about moderation

AI content moderation: the truth is out there

Item moderation and data multi-labeling for e-commerce

Panel discussion on bias in AI

Overcoming position and presentation biases in search and recommender systems

Defining and measuring algorithmic fairness

NeurIPS 2022: Human-in-the-loop is here to stay

Toloka Overview

How Smelter learned to understand word of mouth mentions in social media using adaptive ML models

The role of AI in marketing for large and small organizations

Adaptive ML models to scale up your analytics with HITL classification pipelines

Estimating Twitter's bot-free monetizable daily active users (mDAU)

Developing reliable AI solutions: Challenges and best practices

Processing social media mentions using Human-in-the-loop with adaptive ML models

Robust AI models with better data and model insights

Small but important: How to grow a small segment within a big recommendation system

Boosting a recommendation system with human labeling

Improving CVR with a CTR model

Essential hacks for ML workflows: Q&A session

How to get your data labeled without pain

Notebook to Production

5 major challenges when deploying models in production

Testing throughout the ML lifecycle

Data management with queryable datasets

Getting your dataset labeled

Toloka 101: overview & live demo (Image Classification)

Toloka 101: overview & live demo (Sentiment Analysis)

Decomposition: A key step in data labeling

Toloka 101: overview & live demo (Search Relevance)

UNAM: Data labeling on a large scale

Drive business success with data: practical use cases

Toloka 101: overview & live demo (Image Classification)