elder-plinius/CL4R1T4S
CL4R1T4S is a project that provides transparency by collecting and sharing the hidden system prompts and guidelines used by major AI models and agents to promote trust and understanding of AI behavior.
Awesome AI Agents › LLM Research Repositories
Awesome GUI Agent is a curated repository that compiles a comprehensive list of papers, projects, datasets, benchmarks, and resources related to multi-modal Graphical User Interface (GUI) agents. The project aims to support research and development in the field of GUI agents that interact with graphical interfaces using multiple modalities. It includes references to influential academic papers, datasets for training and evaluation, and various models and agents that have been developed for GUI interaction tasks. The repository is actively maintained and encourages contributions from the community to keep the list up-to-date and comprehensive. It also features an example of an AI-powered digital assistant generated by DALL-E-3, showcasing the potential of GUI agents. The resources cover a wide range of topics including reinforcement learning on web interfaces, mobile app datasets, structured web data extraction, vision-language navigation, and multi-modal conversational agents on mobile GUIs. The repository provides quick navigation links to different categories such as datasets, models, surveys, and projects, making it easy for users to find relevant information. Additionally, it offers a tool called Awesome-Paper-Agent that helps users automatically format and retrieve information from arXiv paper URLs, facilitating easier contribution and referencing. This project is valuable for researchers, developers, and practitioners interested in advancing the capabilities of GUI agents through multi-modal interaction techniques and AI-driven automation.
https://github.com/showlab/Awesome-GUI-Agent
CL4R1T4S is a project that provides transparency by collecting and sharing the hidden system prompts and guidelines used by major AI models and agents to promote trust and understanding of AI behavior.
A comprehensive repository compiling essential academic papers and a detailed survey on the rise, framework, applications, and societal aspects of Large Language Model based AI agents.
A curated repository listing top Artificial Intelligence tools across various categories including generative AI, chatbots, search engines, and writing assistants.
A curated and comprehensive list of Generative AI tools, projects, models, artworks, and educational resources, regularly updated to reflect the latest advancements in the field.
DecryptPrompt is a comprehensive resource hub that summarizes prompt and LLM research papers, open-source datasets and models, and AIGC applications, providing in-depth tutorials and analyses for AI researchers and practitioners.
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A comprehensive and up-to-date research collection of papers on Large Language Model (LLM) agents, covering methodologies, applications, challenges, and key categories such as construction, collaboration, evolution, tools, security, benchmarks, and real-world applications.
Curated index of autonomous improvement loops and research-agent systems descended from karpathy/autoresearch, grouped into general-purpose forks, research systems, platform ports, domain adaptations and benchmarks.