Multi-Agent System
A multi-agent system consists of multiple AI agents that interact, cooperate, or compete to solve complex problems. These systems model real-world scenarios like traffic management, markets, and collaborative robotics.
Understanding Multi-Agent System
A multi-agent system consists of multiple intelligent agents that interact, communicate, and coordinate to solve problems that would be difficult or impossible for a single agent to handle alone. Each agent operates with a degree of autonomy, pursuing individual or shared goals while responding to the actions of other agents and changes in the environment. Applications include swarm robotics for search and rescue operations, distributed traffic management, supply chain optimization, and collaborative AI assistants that divide complex tasks among specialized sub-agents. In the context of large language models, multi-agent frameworks like AutoGen and CrewAI enable different AI agents to assume specific roles (researcher, coder, reviewer) and collaborate through structured conversations. Multi-agent systems draw on concepts from game theory, reinforcement learning, and the minimax algorithm to handle competitive and cooperative scenarios in dynamic environments.
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AI Applications
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Agent
An AI agent is an autonomous system that perceives its environment, makes decisions, and takes actions to achieve specific goals. Modern AI agents can use tools, browse the web, write code, and chain multiple reasoning steps together.
Agentic AI
Agentic AI refers to AI systems that can autonomously plan, reason, and execute multi-step tasks with minimal human oversight. These systems use tool calling, memory, and iterative problem-solving to accomplish complex goals.
AI Visibility
AI visibility refers to how prominently a brand, product, or entity appears in AI-generated responses from systems like ChatGPT, Perplexity, and Gemini. As AI-powered search grows, visibility in AI recommendations becomes a critical marketing metric.
Chatbot
A chatbot is a software application that simulates human conversation through text or voice interactions. Modern AI chatbots use large language models to generate contextually relevant, natural-sounding responses.
Hate Speech Detection
Hate speech detection is the AI task of automatically identifying harmful, abusive, or discriminatory language in text. It is a key component of content moderation systems on social media platforms.
Human-in-the-Loop
Human-in-the-loop (HITL) is an approach where humans actively participate in the AI decision-making or training process. HITL systems combine human judgment with AI speed to improve accuracy and safety.
Information Retrieval
Information retrieval is the science of searching and extracting relevant documents or data from large collections. Modern AI-powered search uses embeddings and language models to understand semantic meaning.
Intelligent Agent
An intelligent agent is an autonomous entity that observes its environment through sensors and acts upon it through actuators to achieve goals. Modern AI agents combine perception, reasoning, and action in complex workflows.