AI 뉴스

CO2 Emissions and the 🤗 Hub: Leading the Charge

Measuring Goodhart’s law

Goodhart’s law famously says: “When a measure becomes a target, it ceases to be a good measure.” Although originally from economics, it’s something we have to grapple with at OpenAI when figuring out how to optimize objectives that are difficult or costly to measure.

Hierarchical text-conditional image generation with CLIP latents

Machine Learning Experts - Lewis Tunstall

Habana Labs and Hugging Face Partner to Accelerate Transformer Model Training

~Don't~ Repeat Yourself

Introducing Decision Transformers on Hugging Face 🤗

Machine Learning Experts - Margaret Mitchell

Announcing the 🤗 AI Research Residency Program

Fine-Tune a Semantic Segmentation Model with a Custom Dataset

Image search with 🤗 datasets

Accelerate BERT inference with Hugging Face Transformers and AWS Inferentia

New GPT-3 capabilities: Edit & insert

We’ve released new versions of GPT-3 and Codex which can edit or insert content into existing text, rather than just completing existing text.

Guiding Text Generation with Constrained Beam Search in 🤗 Transformers

Economic impacts research at OpenAI

Call for expressions of interest to study the economic impacts of large language models.

Lessons learned on language model safety and misuse

We describe our latest thinking in the hope of helping other AI developers address safety and misuse of deployed models.

A research agenda for assessing the economic impacts of code generation models

BERT 101 - State Of The Art NLP Model Explained

Fine-Tune ViT for Image Classification with 🤗 Transformers

Solving (some) formal math olympiad problems

We built a neural theorem prover for Lean that learned to solve a variety of challenging high-school olympiad problems, including problems from the AMC12 and AIME competitions, as well as two problems adapted from the IMO.