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The industry’s most intuitive and streamlined Platform for LLM training data
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Rate your LLM’s completions from 1 to 5 - anything less than a 5 will ask you to provide your expected completion. This can be used to help assess the model’s performance while also providing answers that can be fed back into the model for further improvement.
Unlock AI’s full business impact with a tool built specifically for NLP labeling, ready to be customized for your team’s requirements. All while retaining ease of use.
Everything you need to help with your own Reinforcement Learning from Human Feedback (RLHF) process. A prompt will be displayed alongside 3 completions from the LLM, and you’ll need to rank them in order. The results of this ranking process can be used to train a reward model that is crucial to RLHF (we recommend the open-source library trlX).
Take advantage of QA capabilities that allow for high-level and granular reviews of labels and labelers to ensure data quality. Accelerate ideation to output, with 10X improved project times.
All of this leverages Datasaur’s industry-leading Reviewer mode and automatically calculates Inter-Annotator Agreement to ensure you have full insights into the quality and efficiency of your work.
Increase your team’s time by automating monotonous labeling tasks. Let them focus on building better models instead. Automate the bulk of the labeling workflow, from project setup and export to labeling itself.
