Guides

Programmatically launch human data jobs for RLHF and evaluation

Learn how to harness the SDK to manage human data labeling jobs for RLHF and model evaluation. With just a few steps, you can set up the SDK, import various types of data, and launch, monitor, and export labeling projects programmatically, all while ensuring data quality and scalability.

How to harness AI for efficient video labeling

Learn how models like Gemini 1.5 Pro, Grounding DINO, and SAM can be used to pre-label videos.

How to turn LangSmith logs into conversational data with Labelbox

Use Labelbox's human & AI evaluation capabilities to turn LangSmith chatbot and conversational agent logs into data.

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 automate medical imaging with AI

Walk through an end-to-end tutorial on how your team can use Labelbox to build powerful models to improve medical imaging detection.

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 accelerate and automate data labeling with labeling functions

Learn how teams can accelerate and automate data labeling by using labeling functions with Labelbox.

Distilling a faster and smaller custom LLM using Google Gemini

Learn how to perform knowledge distillation and fine-tuning to efficiently leverage LLMs for NLP, like text classification with Gemini and BERT.

How to build equipment detection models to improve worker safety and efficiency

Learn how you can leverage Labelbox’s platform to build a powerful task-specific model to improve safety detection for personal protective equipment using the latest advances in foundation models to automate labeling.

End-to-end workflow with model distillation for computer vision

Learn how to perform model distillation and fine-tuning to efficiently leverage foundation models for computer vision, like object detection with Amazon Rekognition and YOLOv8.