Blog

The power of human expertise: Transforming audio and multimodal STEM models with Labelbox Services

In this blog, learn about two AI lab customers who utilized Labelbox's top-tier AI trainers to drive innovation in their audio and multimodal STEM models.

How to generate industry-specific data for AI training with Labelbox

This guide will teach you how to generate domain-specific data with the Labelbox data factory to train your LLMs and AI models on industry-specific reasoning.

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.

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.

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 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.

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.

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 introduces no-code data pipeline integrations

Learn how data engineers can now integrate data pipelines with Labelbox in less than 5 minutes.

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.