Language-agnostic pretty-printing through machine learning (uh, like, is this possible? YES, apparently).
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[ICLR'25] BigCodeBench: Benchmarking Code Generation Towards AGI
LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.
Build, personalize and control your own LLMs. From data pre-processing to fine-tuning, xTuring provides an easy way to personalize open-source LLMs. Join our discord community: https://discord.gg/TgHXuSJEk6
Fast GPT-2 inference written in Fortran
AI data analyst for transparent, reproducible analysis. Works step by step in Python, verifies the evidence behind its reports, and supports a wide selection of models, including local open-weight models.
llama.cpp fork with additional SOTA quants and improved performance
