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
The project "Awesome-Agent-Papers" is a comprehensive and up-to-date research collection focused on Large Language Model (LLM) agents. It serves as a curated repository of academic papers and surveys that explore various aspects of LLM agents, including their methodologies, applications, and challenges. The repository is organized into key categories such as agent construction, collaboration mechanisms, evolution, tools integration, security, benchmarks, and real-world applications. This structured taxonomy helps researchers and practitioners understand the rapidly evolving field of LLM agents by connecting different research threads and highlighting the principles behind agent design and emergent behaviors. The repository includes a detailed survey paper that provides an overview of the state-of-the-art in LLM agents, supported by statistical trends and visualizations like word clouds and publication distributions. It emphasizes the surge in research activity since 2023, reflecting the growing interest and advancements in this domain. The collection features a wide range of papers covering topics such as multi-agent collaboration frameworks, self-improving agents, integration with external tools and APIs, security concerns, evaluation benchmarks, and diverse applications in fields like medical decision-making, autonomous driving, software development, and biomedical discovery. By aggregating these resources, the project aims to bridge fragmented research efforts and foster a deeper understanding of LLM agents' capabilities and future directions. It also encourages community contributions and provides citation guidelines for academic use. Overall, this repository is a valuable resource for anyone interested in the development, deployment, and study of intelligent agents powered by large language models, offering insights into both theoretical foundations and practical implementations.
https://github.com/luo-junyu/Awesome-Agent-Papers
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.
LLMAgentPapers is a curated repository of essential academic papers on Large Language Model agents, covering topics from agent personality to multi-agent systems and 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.
A curated repository of must-read papers and blogs focused on Long Context Modeling techniques and research in Large Language Models, providing comprehensive resources for advancing long sequence understanding in AI.