Developing artificial intelligence systems with advanced reasoning capabilities is a long-standing research problem. Traditionally, the main strategy for addressing this challenge involves the use of symbolic methods, where knowledge is explicitly represented through symbols and implemented through explicitly programmed rules. However, with the emergence of machine learning, systems have shifted towards being able to learn … Read more
1 Introduction Deep neural networks are composed of neurons organized into layers and interconnected, capturing their architecture through computation graphs, where neurons are represented as nodes and directed edges connect different layers of neurons. The performance of neural networks depends on their architecture, but there is currently a lack of systematic understanding of the relationship … Read more
There are five ways to create multi-agents in Langgraph: Network: Each agent can communicate with all other agents, and all agents can decide which agent to call next. Supervisor: Each agent can communicate with a supervisor agent, which decides which agent to call next. Supervisor (tool-calling): This is a special case of the supervisor architecture … Read more