At Toloka, we are committed to unlocking AI opportunities. Every day, our researchers tackle pressing AI and ML challenges,
make appearances at prominent global events, and publish their findings in scientific journals. Scroll down to learn more.
Browse through some of our latest work.
The BigCode community introduces StarCoder and StarCoderBase: 15.5B parameter models with 8K context length, infilling capabilities and fast large-batch inference enabled by multi-query attention.
In this tutorial, we describe the general framework of RLHF and explain the technical procedures required to apply this framework.
We present a human-in-the-loop approach to learning the most useful combination of prompt keywords using a genetic algorithm.
Our experiments on two different image datasets, dresses from Zalando's FEIDEGGER and shoes from the Toloka Shoes Dataset, confirm that one can yield meaningful clusters with no machine learning algorithms purely with crowdsourcing.
Find out how Toloka powers top-tier research across the globe.
We regularly hold tutorials and lead workshops at some of the biggest AI conferences around the globe.
We thrive on continuous improvement and international cooperation. Contact us on LinkedIn if you’d like to collaborate.