SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It solves 12.47% of bugs in the SWE-bench evaluation set and takes just 1 minute to run.

A curriculum for learning about foundation models, from scratch to the frontier

we got you bro

[ICLR 2024] SWE-Bench: Can Language Models Resolve Real-world Github Issues?

My writings about ARC (Abstraction and Reasoning Corpus)

The fastest way to make and track predictions

A map of the AI alignment landscape

Squiggle programming language for intuitive probabilistic estimation features in Python

An estimation language

Experimental models by the QURI team & others

Manifold Markets: A market for every question

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

Official Implementation for "StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery" (ICCV 2021 Oral)

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

The MATH Dataset (NeurIPS 2021)

Model parallel transformers in JAX and Haiku

TruthfulQA: Measuring How Models Imitate Human Falsehoods

Evaluation suite for large-scale language models.

Repository for Zheng and Guha et al., 2021, "When Does Pretraining Help? Assessing Self-Supervised Learning for Law and the CaseHOLD Dataset of 53,000+ Legal Holdings"

Measuring Massive Multitask Language Understanding | ICLR 2021

Aligning AI With Shared Human Values (ICLR 2021)

Fetch forecasts from prediction markets/forecasting platforms to make them searchable. Integrate these forecasts into other services.

🍦 Never use print() to debug again.

Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing

[EMNLP 2021] Improving and Simplifying Pattern Exploiting Training