Labelbox

Last change to register for tomorrow's webinar! Join our?Labelbox experts for a panel discussion?that dives into the modern AI data factory and its role in creating high quality data for AI training. Our experts will be available to answer your questions and show you how to: ? Use real-time metrics for measuring data quality, including precision and accuracy ?? Implement strategies for optimizing operational efficiency while maintaining high data quality standards ?? Analyze and build an effective team for data rating, with insights on how to identify “star” labelers #generativeAI #dataquality #webinar

I'm looking forward to my first webinar at Labelbox! I'll be joined by three technical experts to explore the importance of data quality in AI training and the best ways to measure if you are actually producing "good" data. In the subjective world of GenAI, that's not always easy! Check us out next Thursday (10/17) or register to catch the replay! #dataquality #AI #posttraining

Join us for our upcoming webinar next Thursday (10/17) where Labelbox experts will share their scientific approach to analyzing data quality and producing high-quality, trustworthy training data.? Topics we'll dive into: ?? How to use real-time metrics for measuring data quality, including precision and accuracy ??? Ways to implement strategies for optimizing operational efficiency while maintaining high data quality standards ?? Best practices on analyzing and building an effective team for data rating, with insights on how to identify “star” labelers RSVP today and see you there!

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Today, we're excited to introduce the release of Labelbox leaderboards - an innovative and scientific process for ranking multimodal AI models that goes beyond conventional benchmarks. Our approach delivers structured evaluations on subjective AI model outputs using human experts and a rigorous process that provides detailed feature-level metrics and multiple ratings. Check out the first set of leaderboards now available for?image generation,?speech generation, and?video generation. We'd love to hear your feedback and suggestions on specific models to include, and we're excited to drive the field toward more meaningful, human-aligned progress that truly captures the capabilities of next-generation AI models.

In pursuit of AGI and beyond, data quality is not just a checkbox for frontier AI labs—it's the cornerstone of innovation and a critical competitive advantage. The quality of training data determines the success or failure of these cutting-edge models. Take an exclusive look inside Labelbox data factory powering frontier AI models you are likely using. https://lnkd.in/gfADnWzx

Excited to announce a brand new look-and-feel to our chat arena style capabilities in the Labelbox platform. Key updates now available to all customers include: ?? A simplified layout for model response comparison. ?? Quick access to per-message classifications and guided navigation based on your custom ontologies. ?? Clear identification of any missed labeling tasks, and more. These enhancements will empower frontier model builders and enterprise AI teams with the ability to rapidly evaluate models and generate high-quality, multimodal datasets for critical AI post-training tasks, including RLHF/DPO, SFT, and red teaming.

Reasoning in model like OpenAI O1 is taught, evaluated and improved by data. An essential component of it is human data, where human experts solve complex problems by demonstrating reasoning in logical steps.

Many AI teams are now starting to focus on data quality. Last year, everyone operated in a frenzy to catch up to OpenAI. Now that model capabilities are generally the same; the focus has turned towards improving user engagement and retention and targeting model improvements to serve the first goal. And a lot of it will come from improving data quality.?

Labelbox’s Python SDK provides AI teams with a powerful approach for orchestrating human data labeling projects. In our latest guide, we’ll walk through how to harness the Python SDK to manage human data labeling jobs for RLHF and evaluation. With just a few steps you can set up the SDK to: ? Easily import a wide-rang of data types. ?? Launch, monitor, and export labeling projects programmatically. ?? Ensure data quality with access to labelers with specialized knowledge, including medical experts, language specialists and other certified specialties.