AI 뉴스

Optimum+ONNX Runtime - Easier, Faster training for your Hugging Face models

What Makes a Dialog Agent Useful?

OpenAI and Microsoft extend partnership

We’re happy to announce that OpenAI and Microsoft are extending our partnership.

3D Asset Generation: AI for Game Development #3

Universal Image Segmentation with Mask2Former and OneFormer

Welcome PaddlePaddle to the Hugging Face Hub

Image Similarity with Hugging Face Datasets and Transformers

Forecasting potential misuses of language models for disinformation campaigns and how to reduce risk

OpenAI researchers collaborated with Georgetown University’s Center for Security and Emerging Technology and the Stanford Internet Observatory to investigate how large language models might be misused for disinformation purposes. The collaboration included an October 2021 workshop bringing together…

AI for Game Development: Creating a Farming Game in 5 Days. Part 2

Delivering nuanced insights from customer feedback

Using GPT-3 to deliver fast, nuanced insights from customer feedback.

Fine-tuning GPT-3 to scale video creation

Fine-tuning GPT-3 to power and scale done-for-you video creation.

Introduction to Graph Machine Learning

Accelerating PyTorch Transformers with Intel Sapphire Rapids - part 1

AI for Game Development: Creating a Farming Game in 5 Days. Part 1

Creating next-gen characters

Using GPT-3 to create the next generation of AI-powered characters.

The power of continuous learning

Lilian Weng works on Applied AI Research at OpenAI.

Zero-shot image segmentation with CLIPSeg

Model Cards

Point-E: A system for generating 3D point clouds from complex prompts

New and improved embedding model

We are excited to announce a new embedding model which is significantly more capable, cost effective, and simpler to use.