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Apache Arrow is the universal columnar format and multi-language toolbox for fast data interchange and in-memory analytics
Meta Lingua: a lean, efficient, and easy-to-hack codebase to research LLMs.
The AI framework that adds the engineering to prompt engineering (Python/TS/Ruby/Java/C#/Rust/Go compatible)
A curated list of awesome instruction tuning datasets, models, papers and repositories.
Chat first code editor. To download the packaged app:
Awesome-LLM-Tabular: a curated list of Large Language Model applied to Tabular Data
[NAACL 2024] Visually Guided Generative Text-Layout Pre-training for Document Intelligence
A library for mechanistic interpretability of GPT-style language models
Dataset and Code for our ACL 2024 paper: "Multimodal Table Understanding". We propose the first large-scale Multimodal IFT and Pre-Train Dataset for table understanding and develop a generalist tab…
Must-read Papers on Knowledge Editing for Large Language Models.
Plumb a PDF for detailed information about each char, rectangle, line, et cetera — and easily extract text and tables.
mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding
A library for bridging Python and HTML/Javascript (via Svelte) for creating interactive visualizations
Set of tools to assess and improve LLM security.
ScreenQA dataset was introduced in the "ScreenQA: Large-Scale Question-Answer Pairs over Mobile App Screenshots" paper. It contains ~86K question-answer pairs collected by human annotators for ~35K…
Dataset repository for character-level RNN training
Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷
Visualizing the internal board state of a GPT trained on chess PGN strings, and performing interventions on its internal board state and representation of player Elo.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
InstructDoc: A Dataset for Zero-Shot Generalization of Visual Document Understanding with Instructions (AAAI2024)
You like pytorch? You like micrograd? You love tinygrad! ❤️