Datasaur Integration with Open AI

Two weeks ago we previewed our integration with OpenAI, and it quickly became the most popular feature we’ve launched yet. We worked with a handful of existing clients to take in feedback. Today, we are thrilled to announce the release of our ML-Assisted Labeling integration with OpenAI! This integration is now available for both token-based and row-based projects, providing your with a powerful and efficient way to tailor their labeling workflow to their specific needs. This means you can now use OpenAI not only for your text classification workflows but also projects that require NER, POS, and other span-based annotations.

At Datasaur, we understand the unique capabilities and flexibility of OpenAI, and we are excited to leverage these benefits to assist you with your data labeling requirements. With this integration, you will have the ability to customize your labeling prompts based on your unique workflows, thereby streamlining the labeling process and saving valuable time. The predicted labels and answers are directly served into your project workspace, providing a seamless labeling experience.

Sign up between now and April 30, 2023 and get access to this integration free of charge for the rest of the year!

How do I get started?

This feature is open to all of our beta users. To get started with our ML-Assisted feature, you just need to activate the extension. For more details, please look into our documentation here.

How can I use it?

Our team is dedicated to providing our users with the best possible experience, which is why we have created a short tutorial to guide users through the necessary steps to get started with this powerful tool. You can find the tutorial videos for both token and row-based labeling on our documentation pages, which can be found here. Learn how to use OpenAI for your Row-based projects (textual classification) through this video. Additionally, explore how to use OpenAI for your Token-based projects (span based labeling like NER) through this video.

Please note that it will require a subscription to the paid version of OpenAI API. If you need assistance or have any questions, you can reach out to our support team at support@datasaur.ai. Our team is dedicated to ensuring you have a seamless and efficient experience with our product, and we are always happy to help.

Thank you for choosing Datasaur for your data labeling needs. We look forward to helping you streamline your workflow with our ML-Assisted Labeling integration with OpenAI!

Bonus Update - Data Programming x OpenAI

We have also made improvements to our Data programming feature (weak supervised learning) to integrate with OpenAI. Now, you can combine your data programming labeling functions and OpenAI. For more details, you can refer to our sample here. This documentation provides a step-by-step guide on how to deploy OpenAI with our Data Programming feature.

Conclusion

The ML-Assisted Labeling integration with OpenAI is a powerful tool that streamlines the data labeling process and saves you valuable time. With this integration, you now have the ability to customize their labeling prompts and benefit from the unique capabilities and flexibility of OpenAI, making it easier to complete projects. Whether you are a data scientist, researcher, or business professional, this integration offers a solution to improve your data labeling efficiency and accuracy. We are proud to offer this integration as part of our commitment to providing the best possible experience for you, and we look forward to helping you achieve your labeling goals with Datasaur.