Covering everything you need to know in order to build AI products faster.
Dmytro Apollonin•December 20, 2024
Code Runner: Secure, scalable code execution for model evaluation
Meet Code Runner, the new in-platform code execution engine designed to simplify coding-related tasks and deliver higher-quality datasets for coding-related projects.
Esther Na•December 17, 2024
Advance LLM reasoning with advanced fact-checking and prompt rating tools
Labelbox's new fact-checking and prompt-rating tools improve LLM accuracy and reasoning capabilities by allowing users to evaluate responses, correct errors, and flag bad prompts.
Michał Jóźwiak•December 11, 2024
Inside the matrix: A look into the math behind AI
Matrices are crucial in AI for processing multi-dimensional data in areas like machine learning and computer vision. They represent linear maps and transform input into output, making them central to many AI methods.
Labelbox•September 24, 2024
Labelbox leaderboards: Redefining AI evaluation with private, transparent, and human-centric assessments
Introducing our groundbreaking Labelbox leaderboards: an innovative, scientific process to rank multimodal AI models that goes beyond conventional benchmarks.
Labelbox•July 23, 2024
Enhanced synthetic data generation with human-in-the-loop supervision using Llama 3.1 and Labelbox
Learn how Llama 3.1 and Labelbox together enhance your AI development with an end-to-end solution. Leverage our platform's dataset curation, synthetic pre-labels, and human-in-the-loop QA to create sophisticated, domain-specific models efficiently.
Mikiko Bazeley•July 2, 2024
What the focus on multimodal, generative, and 3D AI means for the future at CVPR 2024
CVPR 2024 recap: Exploring breakthroughs in multimodal, generative, and 3D AI, and their transformative implications for the future of artificial intelligence.
Labelbox•April 8, 2024
Labelbox introduces no-code data pipeline integrations
Learn how data engineers can now integrate data pipelines with Labelbox in less than 5 minutes.
Mikiko Bazeley•January 23, 2024
A pragmatic introduction to model distillation for AI developers
Model distillation is an important technique that can be applied across any domain and use case to develop smaller, task specific models. Learn more about model distillation in this practical guide.
Labelbox•November 2, 2023
How the World Series Champions Texas Rangers built a winning team with AI and analytics
Learn how the Texas Rangers Baseball Club used text data to inform player drafting and trading decisions and build a team that secured their first World Series win in November 2023.
Labelbox•October 23, 2023
RLHF vs RLAIF: Choosing the right approach for fine-tuning your LLM
Learn how these two methods differ, the pros and cons of each, and how to choose the right method for your fine-tuning project.