Blog

How to detect and extract personal information from datasets for AI

Learn to identify and remove personal identifiable information from data before it puts your AI and organization at risk.

Seamlessly integrate Databricks data pipelines with Labelbox

Learn how Labelbox recently upgraded our existing integration with Databricks. We've now made it easier than ever before to connect your Databricks data pipeline with all of your unstructured data for faster AI development with Labelbox.

Recapping CVPR 2023: Key takeaways from Labelbox

Discover the overarching key themes from the sessions, demos, and papers of CVPR 2023.

How to confidently compare, test, and evaluate models for machine learning

Learn how to always choose the best and most efficient model for your use case. With Model Foundry, you can test, compare, and evaluate models to confidently select the best performing model.

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.

How to automate labeling for product categorization with LLMs

Learn how to use LLMs to instantly generate predictions on product categorization and summarization.

Labelbox Model Foundry: Automating data tasks with foundation models

With the introduction of Model Foundry, we will bring the power of foundation models in Labelbox to perform complex tasks such as data labeling and data enrichment.

How to write more effective prompts for natural language search

Explore best practices for crafting successful prompts specifically for natural language searches.

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.

Pre-label and enrich data with bulk classifications

Learn more about how to organize and automate data labeling with bulk classifications.