AI 뉴스

Getting Started with Sentiment Analysis using Python

Making automatic speech recognition work on large files with Wav2Vec2 in 🤗 Transformers

Aligning language models to follow instructions

We’ve trained language models that are much better at following user intentions than GPT-3 while also making them more truthful and less toxic, using techniques developed through our alignment research. These InstructGPT models, which are trained with humans in the loop, are now deployed as the def…

Introducing text and code embeddings

We are introducing embeddings, a new endpoint in the OpenAI API that makes it easy to perform natural language and code tasks like semantic search, clustering, topic modeling, and classification.

Supercharged Searching on the 🤗 Hub

Text and code embeddings by contrastive pre-training

Welcome Stable-baselines3 to the Hugging Face Hub 🤗

Case Study: Millisecond Latency using Hugging Face Infinity and modern CPUs

Boosting Wav2Vec2 with n-grams in 🤗 Transformers

Deploy GPT-J 6B for inference using Hugging Face Transformers and Amazon SageMaker

Active Learning with AutoNLP and Prodigy

Gradio is joining Hugging Face!

WebGPT: Improving the factual accuracy of language models through web browsing

We’ve fine-tuned GPT-3 to more accurately answer open-ended questions using a text-based web browser.

Perceiver IO: a scalable, fully-attentional model that works on any modality

Customizing GPT-3 for your application

Fine-tune with a single command.

Training CodeParrot 🦜 from Scratch

Introducing Snowball Fight ☃️, our first ML-Agents environment

OpenAI Residency

As part of our effort to support and develop AI talent, we’re excited to announce the OpenAI Residency.

Getting Started with Hugging Face Transformers for IPUs with Optimum

Introducing the Data Measurements Tool: an Interactive Tool for Looking at Datasets