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Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

The official GitHub page for the survey paper "A Survey of Large Language Models".

Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..

Aligning pretrained language models with instruction data generated by themselves.

Instruction Tuning with GPT-4

Code and models for NExT-GPT: Any-to-Any Multimodal Large Language Model

? Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on MIMIC-IT and showcasing improved instruction-following and in-context learning ability.

【EMNLP 2024?】Video-LLaVA: Learning United Visual Representation by Alignment Before Projection