AI 뉴스

Deep Learning over the Internet: Training Language Models Collaboratively

Welcome spaCy to the Hugging Face Hub

Deploy Hugging Face models easily with Amazon SageMaker

Evaluating large language models trained on code

Sentence Transformers in the Hugging Face Hub

Improving language model behavior by training on a curated dataset

Our latest research finds we can improve language model behavior with respect to specific behavioral values by fine-tuning on a small, curated dataset.

Few-shot learning in practice: GPT-Neo and the 🤗 Accelerated Inference API

Using & Mixing Hugging Face Models with Gradio 2.0

OpenAI Scholars 2021: Final projects

We’re proud to announce that the 2021 class of OpenAI Scholars has completed our six-month mentorship program and have produced an open-source research project with stipends and support from OpenAI.

Will Hurd joins OpenAI’s board of directors

OpenAI is committed to developing general-purpose artificial intelligence that benefits all humanity, and we believe that achieving our goal requires expertise in public policy as well as technology. So, we’re delighted to announce that Congressman Will Hurd has joined our board of directors.

Scaling-up BERT Inference on CPU (Part 1)

Introducing 🤗 Accelerate

Distributed Training: Train BART/T5 for Summarization using 🤗 Transformers and Amazon SageMaker

Understanding BigBird's Block Sparse Attention

GPT-3 powers the next generation of apps

Over 300 applications are delivering GPT-3–powered search, conversation, text completion, and other advanced AI features through our API.

The Partnership: Amazon SageMaker and Hugging Face

My Journey to a serverless transformers pipeline on Google Cloud

Fine-Tune Wav2Vec2 for English ASR in Hugging Face with 🤗 Transformers

Hugging Face Reads, Feb. 2021 - Long-range Transformers

Multimodal neurons in artificial neural networks

We’ve discovered neurons in CLIP that respond to the same concept whether presented literally, symbolically, or conceptually. This may explain CLIP’s accuracy in classifying surprising visual renditions of concepts, and is also an important step toward understanding the associations and biases that…