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Toloka in the News

Press releases and latest news

For press inquiries, please contact press@toloka.ai

The Truth About Synthetic Data: Why Human Expertise is Critical for LLM Success ↗

June 19, 2025

How Better Data Annotation Improves AI Model Performance ↗

May 29, 2025

3 Breakthrough Ways Data Is Powering The AI Reasoning Revolution ↗

May 29, 2025

Amazon's Bezos leads new investment in AI data company Toloka ↗

May 7, 2025

AI Agents Are a Security Ticking Time Bomb ↗

March 24, 2025

Testing The Limits: Three Ways AI Benchmarks Are Evolving ↗

March 13, 2025

What Happens if AI No Longer Has Access to Good Data to Train On? ↗

January 17, 2025

From Generalist To Specialist: The Role Of SFT In LLM Evolution ↗

January 9, 2025

AI and us: The role of human preference in model alignment ↗

December 5, 2024

Tech in 2025: Industry leaders detail their top challenges ↗

December 3, 2024

New multimodal benchmark reveals best LLMs for university-level math challenges ↗

December 5, 2024

Four cornerstones for building a future where we can trust AI ↗

October 24, 2024

Hype Cycle for Generative AI, 2024 ↗

July 31, 2024

The internet isn’t big enough to train AI. One fix? Fake data. ↗

July 24, 2024

Retro-futurism of synthetic data ↗

July 17, 2024

Why integrating low resource languages into LLMs is essential for responsible AI ↗

April 27, 2024

How to enhance LLM evaluation for responsible AI ↗

April 23, 2024

Meta launches AI assistant across Facebook, Instagram, WhatsApp ↗

April 19, 2024

How to test large language models ↗

April 8, 2024

Beyond tech hype: A practical guide to harnessing LLMs for positive change ↗

March 25, 2024

2023 Hype Cycle for Generative AI ↗

September 11, 2023

Recommender systems in e-commerce: Why are they crucial and how do you improve them? ↗

January 18th, 2023

How to improve translation for low-resource languages? ↗

January 16, 2023

3 E-Commerce Trends to Watch in 2023 ↗

December 22, 2022

Detecting and fixing data drift in Computer Vision ↗

December 8, 2022

A brief guide to the biggest entries of NeurIPS 2022 ↗

November 24, 2022

How AI and crowdsourcing help social scientists sample diverse populations ↗

November 24, 2022

Roughly half of data scientists consider model monitoring a major nuisance: Does it have to be so? ↗

November 7, 2022

Visual Question Answering Challenge ↗

October 28, 2022

The First ML Value Chain Landscape by TheSequence ↗

October 24, 2022

The first ML value chain landscape shaped by data scientists — and its top 5 insights ↗

October 21, 2022

The ML Value Chain Landscape is out now ↗

October 13, 2022

The ML Value Chain Landscape is out now ↗

October 12, 2022

Data labeling & Crowdsourcing, what's the connection? ↗

October 11, 2022

Creating responsible AI products using human oversight ↗

July 21, 2022

Training Data: The Overlooked Problem Of Modern AI ↗

June 27, 2022

Why businesses take a month or more to deploy ML models and what you can do ↗

June 19, 2022

Data and AI are keys to digital transformation – how can you ensure their integrity? ↗

March 11, 2022