Covering everything you need to know in order to build AI products faster.
Introducing our groundbreaking Labelbox Leaderboards: an innovative, scientific process to rank multimodal AI models that goes beyond conventional benchmarks.
Michael Haag•June 10, 2025
Discover how to employ a more comprehensive approach to evaluating leading text-to-speech models using both human preference ratings and automated evaluation techniques.
Rahul Sharma•August 17, 2024
Learn how to optimize your Retrieval-Augmented Generation (RAG) applications by focusing on key metrics like context recall and precision.
Labelbox•August 17, 2024
Learn how to utilize embeddings for data vector representations and discover key use cases at Labelbox, including uploading custom embeddings for optimized performance.
Labelbox•May 28, 2024
Learn how to perform knowledge distillation and fine-tuning to efficiently leverage LLMs for NLP, like text classification with Gemini and BERT.
Manu Sharma•February 15, 2024
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.
Manu Sharma•February 1, 2024
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.
Labelbox•November 8, 2023
Learn how to leverage Labelbox’s data-centric AI platform to build a model for content moderation for trust & safety applications.
Labelbox•November 2, 2023
In this guide, we’ll cover how to leverage Open AI’s GPT-3.5 and Labelbox to simplify the fine-tuning process, allowing you to rapidly iterate and refine your models’ performance on specific data.
Labelbox•September 11, 2023
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.
Labelbox•September 8, 2023
