Covering everything you need to know in order to build AI products faster.
How to use AI to improve website search relevance
Learn how you can dramatically improve search relevance for any website or app by using AI and foundation models to better understand search query topics and classify product descriptions/listings to make more data-driven business decisions around the customer experience.
How to sync your cloud buckets with Labelbox
Sync your unstructured data automatically and skip glue scripts with native support for S3 (AWS), GCS (GCP) and Blob Storage (Azure).
How to automatically ingest data from Databricks into Labelbox
Learn how you can leverage Labelbox’s Databricks pipeline creator to automatically ingest data from your Databricks domain into Labelbox for data exploration, curation, labeling, and much more.
How to analyze customer reviews and improve customer care with NLP
Learn how to leverage Labelbox's data-centric AI platform to redefine customer care with AI and create solutions tailored to unique customer care challenges.
How to build a content moderation model to detect disinformation
Learn how to leverage Labelbox’s data-centric AI platform to build a model for content moderation for trust & safety applications.
How to build a powerful product recommendation system for retail
Learn how to leverage Labelbox's data-centric AI platform to build a robust AI-powered product recommendation system to power personalized experiences for retail.
Leveraging YOLO and Labelbox to make videos queryable by content
In this guide, we'll explore how to use YOLO and Labelbox Catalog together to make a dataset of unlabeled videos searchable.
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.
Introducing Export V2: How to export data with more granular control
With Export V2, you can export your data with more granular control. Filter for specific data rows to export, configure the export to include or exclude information, and more.
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.
