Introducing Recursion: the RL platform for enterprise specialist agents
Covering everything you need to know in order to build AI products faster.
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.
•February 23, 2024
Learn how teams can accelerate and automate data labeling by using labeling functions with Labelbox.
•February 21, 2024
Learn how to perform knowledge distillation and fine-tuning to efficiently leverage LLMs for NLP, like text classification with Gemini and BERT.
•February 15, 2024
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.
•February 14, 2024
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.
•February 13, 2024
Every time a new AI tool is rolled out, the topic ultimately shifts to: Will AI replace humans? A satisfying answer to this question is given by the title of a report by Harvard Business Review: “AI Won’t Replace Humans — But Humans With AI Will Replace Humans Without AI”. It summarizes how AI is nothing without the intervention of humans. In one way or another, humans are involved in developing AI models, integrating natural human intelligence at various points of the machine-learning loop, r
•February 12, 2024
The rise of models like GPT-4o by OpenAI and Gemini by Google have made multimodal models more and more commonplace, and subsequently made multimodal data labeling fundamental to the AI development process. Multimodal models capture and process different data modalities, becoming the bridge to AI that understands and interacts with the real world. A critical question that developers and consumers of multimodal models should be asking themselves (and aren’t) is: “How do we ensure these multimod
•February 5, 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.
•February 1, 2024
Knowledge Distillation, which compresses large, powerful AI models into smaller, faster versions without losing performance, vital for efficient deployment on less powerful devices, has become an important technique for AI development and streamline the process of building intelligent applications. As advancements in artificial intelligence continue, large language models (LLMs) and deep neural networks (DNNs) are becoming increasingly capable. The latest iterations outperform their predecesso
•January 29, 2024
Learn how to leverage Labelbox’s platform and Foundry to build a powerful generative captioning system, ensuring your customers get deeper personalization from LLMs and for your internal teams to derive insights faster from your website product listings.
•January 25, 2024
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