Getting Started with Hugging Face Transformers for IPUs with Optimum

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

Accelerating PyTorch distributed fine-tuning with Intel technologies

OpenAI’s API now available with no waitlist

Wider availability made possible by safety progress.

Fine-Tune XLSR-Wav2Vec2 for low-resource ASR with 🤗 Transformers

Scaling up BERT-like model Inference on modern CPU - Part 2

Solving math word problems

We’ve trained a system that solves grade school math problems with nearly twice the accuracy of a fine-tuned GPT-3 model. It solves about 90% as many problems as real kids: a small sample of 9-12 year olds scored 60% on a test from our dataset, while our system scored 55% on those same problems.

Large Language Models: A New Moore's Law?

Course Launch Community Event

Train a Sentence Embedding Model with 1B Training Pairs

The Age of Machine Learning As Code Has Arrived

Fine tuning CLIP with Remote Sensing (Satellite) images and captions

Showcase Your Projects in Spaces using Gradio

Hosting your Models and Datasets on Hugging Face Spaces using Streamlit

Summer at Hugging Face

Summarizing books with human feedback

Scaling human oversight of AI systems for tasks that are difficult to evaluate.

Introducing Optimum: The Optimization Toolkit for Transformers at Scale

Hugging Face and Graphcore partner for IPU-optimized Transformers

Helen Toner joins OpenAI’s board of directors

Today, we’re excited to announce the appointment of Helen Toner to our board of directors.

TruthfulQA: Measuring how models mimic human falsehoods