Blog

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.

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.

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.

Unlock the power of AI: Labelbox’s newest features to use and build better AI

New in Labelbox: Fine-tune LLMs with our LLM data generation editor, and curate and share data more easily.

Accelerate image segmentation with a new AI-powered solution

Learn how to accelerate image segmentation with Model Foundry and Labelbox's latest upgrades to the image editor.

Using reinforcement learning from human feedback to fine-tune large language models

Learn how reinforcement learning from human feedback can be used to train models on tasks that are harder to specify.

How to prepare your manufacturing organization for the fifth industrial revolution: AI

To embrace the fifth industrial revolution, manufacturing organizations will need to break down data silos and consolidate their unstructured data into centralized data lakes.