Introducing Recursion: the RL platform for enterprise specialist agents
Covering everything you need to know in order to build AI products faster.
Introducing our groundbreaking Labelbox Leaderboards: an innovative, scientific process to rank multimodal AI models that goes beyond conventional benchmarks.
•June 10, 2025
Learn how to harness the SDK to manage human data labeling jobs for RLHF and model evaluation. With just a few steps, you can set up the SDK, import various types of data, and launch, monitor, and export labeling projects programmatically, all while ensuring data quality and scalability.
•August 26, 2024
Discover how to employ a more comprehensive approach to evaluating leading text-to-speech models using both human preference ratings and automated evaluation techniques.
•August 17, 2024
Learn how to optimize your Retrieval-Augmented Generation (RAG) applications by focusing on key metrics like context recall and precision.
Discover how to choose the perfect large language model for your pre-labeling tasks by diving into our "Needle-in-a-Haystack" experiment. Learn how to enhance accuracy and efficiency in complex data annotations.
•August 6, 2024
Discover how to employ a more comprehensive approach to evaluating leading text-to-video models using human preference ratings, as well as challenges with automated evaluation techniques.
•August 5, 2024
Discover how to employ a more comprehensive approach to evaluating leading text-to-image models using both human preference ratings and automated evaluation techniques.
•July 31, 2024
Learn how you can use Labelbox to accelerate the quality review process for creating better data for generative AI use cases using autoQA and advanced labeler reviews.
•July 19, 2024
In this guide we’ll show how Labelbox can be used to collect training data for an ecommerce chatbot that responds to customer queries about online shopping.
•July 9, 2024
Introduction Given the pace of innovation in AI, teams are continually looking to integrate various data types like text, images, and video as a way to unlock new functionality for delivering next-gen applications and experiences. The development of multimodal models, which can process and understand diverse data inputs, is one of the most promising advancements. Notably, combining video processing with the capabilities of large language models (LLMs) is a breakthrough feature for teams who
•May 30, 2024
Get started for free or see how Labelbox can fit your specific needs by requesting a demo
