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Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflo…
Hands-on tutorials on fine-tuning various LLMs using different fine-tuning techniques
This is the official repository for submitting MCP servers to be included in Cline's MCP Marketplace. If you’ve built an MCP server and want it to be discoverable and easily installable by millions…
This repository contains the code, the dataset and the experimental results related to the paper "Vulnerabilities in AI Code Generators: Exploring Targeted Data Poisoning Attacks" accepted for publ…
Fast, memory-efficient, scalable optimization of deep learning with differential privacy
LDB: A Large Language Model Debugger via Verifying Runtime Execution Step by Step (ACL'24)
Universal and Transferable Attacks on Aligned Language Models
[COLM 2024] OpenAgents: An Open Platform for Language Agents in the Wild
AttackGen is a cybersecurity incident response testing tool that leverages the power of large language models and the comprehensive MITRE ATT&CK framework. The tool generates tailored incident resp…
Extracting sensitive information from predictive text models
Code and data of the EMNLP 2021 paper "Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer"
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
My version of the Stanford experiment "Generative Agents: Interactive Simulacra of Human Behavior" in Python using a local LLM.
Accessible large language models via k-bit quantization for PyTorch.
Running large language models on a single GPU for throughput-oriented scenarios.
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
(Unofficial) Korean translation of Wladimir Palant's series of writing on vulnerabilities and issues around Korean Security apps.
async language server protocol plugin for vim and neovim
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Explaining Anomalies Detected by Autoencoders Using SHAP
Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models
mehrdad-shokri / datasets-1
Forked from huggingface/datasets🤗 The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools
CVPR 2021 | Metrics for evaluating interpretability methods.