Ready to try data labeling with LLMs?

Toloka Team
by Toloka Team

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Large language models (LLMs) are changing the way people and companies do work — and data annotation is no exception. Text classification is a prime opportunity to benefit from LLMs.

Toloka applies commercial and open source models — ChatGPT, GPT-4, LLaMA, and others — directly via prompt engineering or via model fine-tuning for your specific task. Our unique expertise helps teams achieve their goals faster with more efficient data annotation.


How we use LLMs

We integrate LLMs into data annotation pipelines on multiple levels:

  1. LLM annotation with human evaluation: The LLM automates all data annotation and our expert crowd evaluates the results for quality assurance.
  2. LLM annotation alongside humans: The LLM handles part of the data and our expert annotators handle the rest to balance speed and quality.
  3. LLM support for humans: The LLM speeds up human data annotation by providing suggestions for our global crowd of annotators.

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Examples of successful cases

  • Text classification: for unambiguous classes, get labels with equal or higher quality at less than 10% of cost of traditional data labeling.
  • Semantic similarity: detect similar product descriptions for e-commerce and search engines with the same quality at marginally lower cost and higher throughput.
  • Semantic search: evaluate product search relevance with the same quality at marginally lower cost and higher throughput.

Ask our experts how to use LLMs in your data pipeline. We can help you optimize speed and cost of data labeling while achieving the best data quality for your project.

Use LLM for data annotation
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Toloka Team
Toloka Team

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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.