Automated data labeling with LLMs and humans
Build the ideal data pipeline with LLMs, our trained crowd, and experts for optimal price, quality, and throughput
Who is labeling your data?
LLMs now offer a powerful data labeling option, but the decision to use LLMs isn't straightforward.
Tap into Toloka's AI expertise to design a data labeling strategy for your next project
Quality. LLMs perform on par or better than humans in some
tasks, but need guidance.
Speed. LLMs can offer better throughput, but may need fine-
tuning.
Price. LLMs might be cheaper or more expensive than manual
labeling, depending on the project setup.
We leverage machine learning and human expertise for optimal speed and quality
Toloka has the know-how
to apply LLMs, domain
experts, and data quality
controls exactly where you need them.
How Toloka optimizes data labeling pipelines with LLMs
LLM-boosted human data labeling
LLM offers suggestions for human annotators
LLM data labeling
with human assistance
Humans label edge cases
not handled by LLM
Human evaluation
of LLM annotation
Humans perform selective evaluation
of LLM annotations
LLMs need human oversight
Here are just a few examples of data labeling challenges for LLMs
Ambiguous tasks
Task type:
Search relevance
Issue:
Ambiguity in "reasonably well" type of instructions
Reason:
LLMs often have different logic from humans
Outdated pre-training dataset
Task type:
Product similarity
Issue:
New products or new brands
Reason:
LLMs hallucinate about things they were not trained on
LLMs incorrectly interpret slang and shorthand
Task type:
Data cleaning
Issue:
Typo correction
Reason:
LLMs aren't trained to understand all languages equally well
We find the best language model for your task and support it with human input for reliable results
Guidance for
LLM implementation
in annotation projects
Available data
Type of tasks
Flexibility
Cost
Toloka's bespoke solutions combine the speed of LLMs and the insight of our crowd for optimal data labeling performance
We take care of prompt engineering and quality control to deliver the best results for your project requirements.
Get best-in-class data labeling solutions with LLMs
Success story: Hugging Face and ServiceNow
Why Toloka
Our solutions combine state-of-the-art ML and crowdsourcing technologies, supported by a global crowd of annotators and secure infrastructure.
Powering new language models and research
Our experience working with natural language processing solves real-life business problems and helps advance scientific research and open-source projects with large language models.
