HyperTree Proof Search for Neural Theorem Proving -- "La science est l'œuvre de l'esprit humain, qui est plutôt destiné à étudier qu'à connaître, à chercher qu'à trouver la vérité."

A banchmark list for evaluation of large language models.

Neural theorem proving toolkit: data extraction tools for Lean 4

LLMs + Lean, on your laptop or in the cloud

Catalog Of Math Problems Formalized In Lean

Rigourous evaluation of LLM-synthesized code - NeurIPS 2023 & COLM 2024

KMD is a collection of conversational exchanges between patients and doctors on various medical topics. It aims to capture the intricacies, uncertainties, and questions posed by individuals regard…

We introduce MKQA, an open-domain question answering evaluation set comprising 10k question-answer pairs aligned across 26 typologically diverse languages (260k question-answer pairs in total). The…

Multilingual Large Language Models Evaluation Benchmark

Mizar Mathematical Library

llmstep: [L]LM proofstep suggestions in Lean 4.

Download, parse, and filter data PubMed, data-ready for The-Pile

Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator (SynthDoG), ECCV 2022

jax-triton contains integrations between JAX and OpenAI Triton

Inference code for LLaMA models in JAX

Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.

PyTorch extensions for high performance and large scale training.

🐙 OctoPack: Instruction Tuning Code Large Language Models

Ongoing research training transformer models at scale

Training and serving large-scale neural networks with auto parallelization.

A curated list of awesome papers related to pre-trained models for information retrieval (a.k.a., pretraining for IR).

A port of muP to JAX/Haiku

some common Huggingface transformers in maximal update parametrization (µP)

Contrastive Language-Image Pretraining