Official repo of Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics

[preprint] We propose a novel fine-tuning method, Separate Memory and Reasoning, which combines prompt tuning with LoRA.

An overview of LLMs for cybersecurity.

TrustAgent: Towards Safe and Trustworthy LLM-based Agents

UP-TO-DATE LLM Watermark paper. 🔥🔥🔥

The code for the bark-voicecloning model. Training and inference.

🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

Learning to Compress Prompts with Gist Tokens - https://arxiv.org/abs/2304.08467

A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

We have created a new Github repository. Please visit https://github.com/ynchuang/DiscoverPath for the latest update.

Multimodal Question Answering in the Medical Domain: A summary of Existing Datasets and Systems

This repo includes ChatGPT prompt curation to use ChatGPT better.

Human ChatGPT Comparison Corpus (HC3), Detectors, and more! 🔥

A codebase that makes differentially private training of transformers easy.

Test code for pytorch_influence_functions

This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence Functions by Pang Wei Koh and Percy Liang.

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Fine-tuning CLIP using ROCO dataset which contains image-caption pairs from PubMed articles.

[MICCAI-2022] This is the official implementation of Multi-Modal Masked Autoencoders for Medical Vision-and-Language Pre-Training.

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

Paper collections of retrieval-based (augmented) language model.

Data augmentation for NLP

Code for obtaining the Curation Corpus abstractive text summarisation dataset

Large-scale pretraining for dialogue