#large models

This repository emphasizes the multi-dimensional trustworthiness of large models, specifically in safety, security, and privacy. It includes a comprehensive collection of resources on multi-modal models such as vision-language and diffusion models. It serves as an essential tool for researchers by offering an extensive selection of papers and the option for users to recommend additional resources. The repository keeps users informed with recent academic advancements and categorizations, making it a critical asset for scholarly and practical pursuits.

Developed from the 2024 Artificial Intelligence Security Technology course at Shanghai Jiao Tong University, this tutorial series introduces programming of large language models (LLMs). The tutorials cover fine-tuning, model deployment, API usage, knowledge editing, and more. Contributions from experts and students ensure a collaborative learning experience. This project welcomes feedback to support learners in academic research or coursework.