Covering everything you need to know in order to build AI products faster.
How to prepare unstructured data for AI and analytics in Databricks
Learn how to use the Labelbox Connector to quickly explore, organize, and annotate a variety of unstructured data from your Data Lake.
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.
An introduction to model metrics
Learn how you can use model metrics to surface low-performing classes, find and fix labeling errors, and improve the overall performance of the model before it hits production on real-world data.
How to get started in Labelbox Model: Train, evaluate, and improve your ML models
Learn how to ship better models faster by leveraging Labelbox Model. In this guide, we'll walk you through a COCO object detection example to get you onboarded in Model with your first project, model, and model run.
How to kickstart and scale your data labeling efforts
Learn how to effectively kickstart and scale your data labeling efforts to reduce cost, while maintaining the desired quality required for your use case.
How to evaluate and optimize your data labeling project's results
Learn how to evaluate the results of your labeling project in order to further optimize and improve future iterations and batches of data.
How to define a task for your data labeling project
Learn how to align on key components of your project: define a task, create an ontology, and determine timelines for your labeling project.
How to find similar data in one click
Powerful similarity search capabilities can give your team an edge by helping find specific data points in an ocean of data. Learn more about how to find similar data in one click with Labelbox.
How to train a chatbot
The rise in natural language processing (NLP) language models have given machine learning (ML) teams the opportunity to build custom, tailored experiences for their customers. Learn how to train a domain-specific chatbot.
Get started with active learning
Discover how to get started with active learning by leveraging the 3 techniques that consistently help ML teams more quickly identify what data will most dramatically improve model performance.
