Covering everything you need to know in order to build AI products faster.
Evaluating leading text-to-speech models
Discover how to employ a more comprehensive approach to evaluating leading text-to-speech models using both human preference ratings and automated evaluation techniques.
Metrics-based RAG Development with Labelbox
Learn how to optimize your Retrieval-Augmented Generation (RAG) applications by focusing on key metrics like context recall and precision.
AI foundations: Understanding embeddings
Learn how to utilize embeddings for data vector representations and discover key use cases at Labelbox, including uploading custom embeddings for optimized performance.
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.
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.
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 fine-tune OpenAI’s GPT-3.5 Turbo using Labelbox
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.
How to fine-tune Vertex AI LLMs with Labelbox
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.
How to uncover model errors with Labelbox Model
Explore how to perform model error analysis using Labelbox, with a specific focus on utilizing the Gallery View and Model Metrics.
