AI 뉴스

Nyströmformer: Approximating self-attention in linear time and memory via the Nyström method

Comments on U.S. National AI Research Resource Interim Report

Efficient training of language models to fill in the middle

Introducing new audio and vision documentation in 🤗 Datasets

Faster Text Generation with TensorFlow and XLA

A hazard analysis framework for code synthesis large language models

Deploying TensorFlow Vision Models in Hugging Face with TF Serving

Advantage Actor Critic (A2C)

DALL·E now available in beta

We’ll invite 1 million people from our waitlist over the coming weeks. Users can create with DALL·E using free credits that refill every month, and buy additional credits in 115-generation increments for $15.

Reducing bias and improving safety in DALL·E 2

Today, we are implementing a new technique so that DALL·E generates images of people that more accurately reflect the diversity of the world’s population.

How to train your model dynamically using adversarial data

DALL·E 2: Extending creativity

As part of our DALL·E 2 research preview, more than 3,000 artists from more than 118 countries have incorporated DALL·E into their creative workflows. The artists in our early access group have helped us discover new uses for DALL·E and have served as key voices as we’ve made decisions about DALL·E…

The Technology Behind BLOOM Training

Building a Playlist Generator with Sentence Transformers

Introducing The World's Largest Open Multilingual Language Model: BLOOM

Getting Started with Sentiment Analysis on Twitter

Policy Gradient with PyTorch

Liftoff! How to get started with your first ML project 🚀

DALL·E 2 pre-training mitigations

In order to share the magic of DALL·E 2 with a broad audience, we needed to reduce the risks associated with powerful image generation models. To this end, we put various guardrails in place to prevent generated images from violating our content policy.

Announcing Evaluation on the Hub