Blog

6 key LLMs to power your text-based AI applications

Large language models (LLMs) have revolutionized the field of AI and natural language processing (NLP). Dive into six popular LLMs and explore their intended use cases, limitations, and possible real-world use cases.

6 cutting-edge foundation models for computer vision and how to use them

Explore six of the most powerful foundation models available to AI builders, the use cases and applications they are best suited for, and how you can explore, test, and leverage them quickly and easily for pre-labeling data and AI development.

How to set up your labeling ops for success with observability

Explore how labeling quality can be measured and improved with the right observability practices for labeling operations.

How to unlock the full power of GPT-4 for enterprise AI

With foundation models, such as GPT-4, teams now have a way to automate and accelerate data labeling rather than starting from scratch. Leverage Model Foundry's prompt-based interface to create effective prompts for pre-labeling data with GPT-4.

How to use LLMs to detect and extract personal data from AI datasets

In this post, we’ll explore how you can easily leverage a large language model (LLM) to identify and extract PII from your datasets with much higher accuracy, efficiency, and speed.

Celebrating Labelbox’s latest security advancement: ISO 27001:2022 Certification

We’re thrilled to announce, in addition to maintaining our SOC 2 Type 2, Labelbox has successfully attained our ISO 27001:2022 certification.

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.