Covering everything you need to know in order to build AI products faster.
How to fine-tune Vertex AI LLMs with Labelbox
In this guide, we’ll cover how to leverage Vertex AI and Labelbox to simplify the fine-tuning process, allowing you to rapidly iterate and refine your models’ performance on specific data.
Using Meta's Segment Anything (SAM) model on video with Labelbox's model-assisted labeling
Learn how to use Meta’s Segment Anything (SAM) model with YOLOv8 to automatically detect, classify, and draw masks on video.
How to accelerate image-text pair generation with BLIP-2
Learn how to use BLIP-2-generated captions to create pre-labels for images so that a specialized workforce can further improve the image captions.
Automatically label text with 96%+ accuracy using foundation models
Learn how to automatically label text with 96%+ accuracy by leveraging Labelbox's search capabilities, bulk classification, and foundation models.
Automatically label images with 99% accuracy using foundation models
Automatically label images with 99% accuracy leveraging Labelbox's search capabilities, bulk classification, and foundation models.
How to fine-tune large language models (LLMs) with Labelbox
Learn how to iterate and rapidly fine-tune OpenAI large language models with Labelbox Model.
Using Labelbox and foundation models to generate custom embeddings and curate impactful data
In this guide, we'll show you how you can use foundation models, such as Hugging Face’s embedding extractors, combined with Labelbox’s search capabilities to select impactful data.
