Notícias

OpenAI and Elon Musk↗

We are dedicated to the OpenAI mission and have pursued it every step of the way.

Introducing ConTextual: How well can your Multimodal model jointly reason over text and image in text-rich scenes?↗

Data is better together: Enabling communities to collectively build better datasets together using Argilla and Hugging Face Spaces↗

Text-Generation Pipeline on Intel® Gaudi® 2 AI Accelerator↗

StarCoder2 and The Stack v2↗

TTS Arena: Benchmarking Text-to-Speech Models in the Wild↗

Le Chat↗

Au Large↗

AI Watermarking 101: Tools and Techniques↗

🪆 Introduction to Matryoshka Embedding Models↗

Introducing the Red-Teaming Resistance Leaderboard↗

Fine-Tuning Gemma Models in Hugging Face↗

Welcome Gemma - Google’s new open LLM↗

Introducing the Open Ko-LLM Leaderboard: Leading the Korean LLM Evaluation Ecosystem↗

🤗 PEFT welcomes new merging methods↗

Synthetic data: save money, time and carbon with open source↗

Video generation models as world simulators↗

We explore large-scale training of generative models on video data. Specifically, we train text-conditional diffusion models jointly on videos and images of variable durations, resolutions and aspect ratios. We leverage a transformer architecture that operates on spacetime patches of video and image latent codes. Our largest model, Sora, is capable of generating a minute of high fidelity video. Our results…

Disrupting malicious uses of AI by state-affiliated threat actors↗

AMD Pervasive AI Developer Contest!↗

Memory and new controls for ChatGPT↗

We’re testing the ability for ChatGPT to remember things you discuss to make future chats more helpful. You’re in control of ChatGPT’s memory.