Search AI Products and News

Recently, OpenAI launched a groundbreaking multilingual dataset designed to evaluate AI performance across 14 languages, including Arabic, German, Swahili, Bengali, and Yoruba. This dataset, named 'Multilingual Massive Multitask Language Understanding' (MMMLU), has been published on the open data platform Hugging Face, marking another significant advancement for OpenAI in the global AI landscape. Dataset link: https://huggingface

LAION launched Re-LAION-5B, the world's first AI training dataset that fully removes links to CSAM, aimed at addressing the issue of Child Sexual Abuse Material (CSAM). This dataset has been significantly improved over LAION-5B and is mainly divided into two versions: Re-LAION-5B Research and Research-Safe. A total of 2,236 CSAM links have been removed, including 1,008 from child protection organizations' lists. The dataset contains 5.5 billion pairs of text and images, designed to help

Researchers, in collaboration with MIT, Cohere for AI, and other institutions, have launched the Data Provenance Platform to tackle the issue of AI data transparency. The platform audits and tracks over 2,000 widely used fine-tuning datasets, emphasizing the importance of data transparency. Insufficient data provenance can lead to data leaks, exposure of personal information, bias, and legal risks. The Data Provenance Platform is expected to enhance AI data transparency and improve the quality and ethical compliance of datasets.