Blog

What does it mean when an LLM “hallucinates” & why do LLMs hallucinate?

As the popularity of large language models grow in adoption, how do you know if your LLM is generating true information? Learn why reinforcement learning (RLHF) is important to help mitigate LLM hallucinations.

Use Labelbox to explore public datasets

You can now browse over 30+ large scale public datasets directly through Labelbox.

Group, prioritize, and analyze data with slices and a new way to export your data

New in Labelbox Model: Prioritize and save high-impact data rows as slices, filter on metadata, and a new way to export data rows across your projects.

Automatically track objects, control playback, and navigate frames on video data

New in Labelbox Annotate: A variety of improvements to our video editor including a one-click automated bounding box tracking experience, and more.

Explore new public datasets, surface and save data slices

New in Labelbox Catalog: Explore assets from public datasets across use cases, surface data with a natural language search or the "Find text" filter

Protect your AI: How to choose a secure labeling partner

Those who build AI must understand the importance of data protection and prioritize it when creating their AI development process.

Introducing natural language querying, a new navigation experience, and more

New in Labelbox: Search for data with natural language querying, navigate Labelbox with less friction, and more.

Year in review: Labelbox 2022 product highlights

Discover some of the most impactful recent updates to Labelbox Catalog, Annotate, and Model.

Debugging models made easy with auto-computed metrics

New in Labelbox Model: Automatically surface model failures and labeling mistakes, debug segmentation models faster than ever, and more.

Fine-tune language models to your use case with right data

New in Labelbox Annotate: Unlock new NER text use cases with the document and conversational text editor, video editor improvements, and more.