Some things to know about Large scale language Model

what is the recent multi agent communication method used in LLm ?

Recent advancements in multi-agent communication methods for Large Language Models (LLMs) have focused on enhancing collaboration and problem-solving capabilities in dynamic and complex environments. Some of the notable methods include:

1. PLAYER*: This framework enhances LLM-based multi-agent communication and interaction by employing an anytime sampling-based planner that utilizes sensors and pruners. It is designed for complex reasoning tasks and has been tested in dynamic environments, such as murder mystery games. PLAYER* uses a question-driven approach for searching and reasoning, showing significant improvements in performance compared to traditional methods​(Source: Papers with Code).
2. LLM Harmony: Inspired by the CAMEL model, this framework leverages multiple LLM agents, each with distinct personas, to engage in role-playing communication. This setup allows for nuanced and adaptable approaches to various problem scenarios, significantly improving autonomous problem-solving capabilities. Extensive experimentation has demonstrated the framework’s superior performance and adaptability​. (Source: Paper with code)
3. Cooperative Embodied Agents: This framework utilizes LLMs for planning, communication, and cooperation among embodied agents in various environments. It enables agents to accomplish long-horizon tasks efficiently by planning and…