It is an implementation of "Suspicion-Agent: Playing Imperfect Information Games with Theory of Mind Aware GPT-4," a project designed to develop an AI agent capable of playing imperfect information games using GPT-4 enhanced with Theory of Mind (ToM) awareness.
It is an implementation of “Suspicion-Agent: Playing Imperfect Information Games with Theory of Mind Aware GPT-4,” a project designed to develop an AI agent capable of playing imperfect information games using GPT-4 enhanced with Theory of Mind (ToM) awareness. The agent leverages GPT-4’s advanced language capabilities to model and predict the mental states of other players, enabling it to make strategic decisions in games where players have incomplete information about the game state or other players’ actions.
The project is hosted on GitHub under the repository CR-Gjx/Suspicion-Agent, where users can access the code, documentation, and related resources. The implementation requires Python version 3.8.5 or higher and relies on OpenAI’s GPT-4 model, necessitating an OpenAI API key for setup. Users are instructed to install required packages and configure the OpenAI key before training and evaluating the agents.
The repository includes detailed instructions, sample outputs, and references to help users understand and replicate the project. It also acknowledges the use of SkyAGI, a framework or codebase that the implementation is based on, with credit given to its authors. The project aims to demonstrate how GPT-4, combined with Theory of Mind, can be applied to complex game scenarios, providing insights into AI decision-making in environments with uncertainty and hidden information. Users are encouraged to provide feedback, as the developers actively review and consider input to improve the project.
It is an AI-driven initiative focused on developing advanced systems that assist in creating and editing software by translating human ideas into functional code.
It is a 124-billion-parameter open-weights multimodal model called Pixtral Large, built on Mistral Large 2, designed to excel in both image and text understanding.
It is a Python-based project called Teenage-AGI that enhances an AI agent's capabilities by giving it memory and the ability to "think" before generating responses.
It is a Python-based project called Teenage-AGI that enhances an AI agent's capabilities by giving it memory and the ability to "think" before generating responses.
It is an open-source framework designed to provide AI Agents with reliable memory capabilities for decision-making, personalized goal setting, and execution in AI applications.
It is an open-source multi-agent framework called CAMEL, dedicated to finding the scaling laws of agents by studying their behaviors, capabilities, and potential risks on a large scale.
It is an experimental open-source project called Multi-GPT, designed to make GPT-4 fully autonomous by enabling multiple specialized AI agents, referred to as "expertGPTs," to collaborate on tasks.
It is a recommender system simulator called Agent4Rec, designed to explore the potential of large language model (LLM)-empowered generative agents in simulating human-like behavior in recommendation environments.
It is a platform designed to build and deploy AI agents that address trust barriers in adopting agentic AI by embedding data protection, policy enforcement, and validation into every agent, ensuring business success.
It is a project titled "Natural Language-Based Societies of Mind (NLSOM)" that explores the concept of intelligence through diverse, interconnected agents working collaboratively in a natural language-based framework.
It is a framework designed to unify and optimize human-designed prompt engineering techniques for improving problem-solving capabilities of Large Language Models (LLMs) by representing LLM-based agents as computational graphs.
It is a preliminary implementation of the paper "Improving Factuality and Reasoning in Language Models through Multiagent Debate," which aims to enhance the accuracy and reasoning capabilities of language models by employing a multiagent debate framework.
It is an AI-powered platform designed to automate and streamline complex financial workflows, enabling finance professionals to focus on strategic decision-making rather than manual, time-consuming tasks.
It is an AI-powered recruitment platform that automates and personalizes candidate interactions via WhatsApp, streamlining the hiring process and improving outcomes.
It is a factual and accurate description of VINSI.AI, a leader in AI-powered phone agent outsourced solutions, offering unmatched ease, efficiency, and cost-savings through innovative technology and a full-service approach.
It is a blockchain-based collaboration network for AI Agents, designed to enhance digital interactions and redefine AI capabilities within the Web3 landscape.
It is an AI-powered assistant designed to help users lower bills, file complaints, resolve issues, and manage customer service interactions efficiently.
It is an AI software engineer designed to assist and collaborate with human engineers by autonomously handling complex engineering tasks, allowing teams to focus on more ambitious goals.
