Covering everything you need to know in order to build AI products faster.
How to accelerate labeling projects using GPT–4V in Foundry
Learn 3 specific examples of how teams can use Labelbox to accelerate labeling projects by using multimodal models to create high-quality labels for various data types including images, HTML, and text.
How to improve your task-specific chatbot for better safety, relevancy, and user feedback
Learn how to leverage Labelbox for optimizing your task-specific LLM chatbot for better safety, relevancy, and user feedback.
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 use AI to automate invoice and document processing
Learn how to leverage Labelbox’s platform to build an AI model to accelerate high-volume invoice and document processing from PDF documents using OCR.
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 enhance RAG chatbot performance by refining a reranking model
Learn how to use Labelbox to preprocess documents (e.g., entity detection, document classification, etc) and improve retrieval relevance by fine-tuning a reranking model.
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.
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