[ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning

[NAACL'24] Self-data filtering of LLM instruction-tuning data using a novel perplexity-based difficulty score, without using any other models

FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.

Code for the paper "Evaluating Large Language Models Trained on Code"

Retrieval and Retrieval-augmented LLMs

Reproduce results and replicate training fo T0 (Multitask Prompted Training Enables Zero-Shot Task Generalization)

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

Instruct-tune LLaMA on consumer hardware

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

[ACL'24] Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning

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

Personalized federated learning simulation platform with non-IID and unbalanced dataset

Term Frequency-Inverse Document Frequency from Scratch

Scripts of LLM pre-training and fine-tuning (w/wo LoRA, DeepSpeed)

Flower: A Friendly Federated Learning Framework

Unified interface for pre-training data augmentation and post-training evaluation of Large Language Models (LLMs).

The modern video player for macOS.