Toloka Recap April 2023
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Here’s a round-up of news about Toloka, our community, and the data science world.
Product and company news
- Data labeling for Large Language Models — Use Toloka to label data for reinforcement learning from human feedback. Fine-tune your pre-trained language model to align with human expectations.
Upcoming events
Feel free to join us!
- May 12, 2023 — Data Innovation Summit 2023 — Who will be our guide on a path to trustful and fair AI?
- May 12, 2023 — Appdevcon 2023 — Privacy and speed: the story behind Toloka’s face blurring solution.
- Jun 24, 2023 — ICML 2023 — Reinforcement learning from human feedback: a tutorial.
Event recordings
Here are the recordings of our recent events, in case you missed them:
- Retail Week Live 2023 — Next-level ecommerce: a winning formula to surpass your competitors.
- ECIR 2023 — Crowdsourcing for information retrieval: materials and slides.
A couple of talks from our recent Data-driven AI meetup in Washington DC:
- AI governance at scale by Rachel Azafrani.
- Trust and safety challenges of AI-generated images by Bilva C.
- Panel discussion on responsible AI by Divyansh Kaushik, Bilva C., and Rosmiyana Shekhovtsova.
Reading list
- Five questions about bias in AI you’ve probably wanted to ask — Evgeniya Sukhodolskaya, Senior ML Manager at Toloka, explores the topic of biases in AI.
- Toloka helps a smart device manufacturer test UX solutions and branding concepts — A recent case study on collecting feedback and comparing design concepts for a better user experience.
That’s it! Thank you for reading, and see you next month!
Article written by:
Toloka Team
Updated: 
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More about Toloka
- Our mission is to empower businesses with high quality data to develop AI products that are safe, responsible and trustworthy.
- Toloka is a European company. Our global headquarters is located in Amsterdam. In addition to the Netherlands, Toloka has offices in the US, Israel, Switzerland, and Serbia. We provide data for Generative AI development.
- We are the trusted data partner for all stages of AI development–from training to evaluation. Toloka has over a decade of experience supporting clients with its unique methodology and optimal combination of machine learning technology and human expertise. Toloka offers high quality expert data for training models at scale.
- The Toloka team has supported clients with high-quality data and exceptional service for over 10 years.
- Toloka ensures the quality and accuracy of collected data through rigorous quality assurance measures–including multiple checks and verifications–to provide our clients with data that is reliable and accurate. Our unique quality control methodology includes built-in post-verification, dynamic overlaps, cross-validation, and golden sets.
- Toloka has developed a state-of-the-art technology platform for data labeling and has over 10 years of managing human efforts, ensuring operational excellence at scale. Now, Toloka collaborates with data workers from 100+ countries speaking 40+ languages across 20+ knowledge domains and 120+ subdomains.
- Toloka provides high-quality data for each stage of large language model (LLM) and generative AI (GenAI) development as a managed service. We offer data for fine-tuning, RLHF, and evaluation. Toloka handles a diverse range of projects and tasks of any data type—text, image, audio, and video—showcasing our versatility and ability to cater to various client needs.
- Toloka addresses ML training data production needs for companies of various sizes and industries– from big tech giants to startups. Our experts cover over 20 knowledge domains and 120 subdomains, enabling us to serve every industry, including complex fields such as medicine and law. Many successful projects have demonstrated Toloka's expertise in delivering high-quality data to clients. Learn more about the use cases we feature on our customer case studies page.