AI

1. What Are AI Agents? Definition: Software entities that perceive their environment and act autonomously. Example: Customer support AI agent resolving queries. Key Features: Autonomous (minimal human input) Goal-driven (optimize defined objectives) Perceptive (gather info from sensors, inputs, APIs) Adaptive (learn from changing environments) Collaborative (work with humans or other agents) SEO Insert: AI agents go beyond automation—their goal is autonomy and collaboration in multi-agent environments. 2. How AI Agents Work: The Core Mechanisms Persona – role, goals, and communication style. Memory – short-term, long-term, episodic, consensus memory. Tools – APIs, interfaces, and functions. Model – LLM as the “brain.” Transition: These mechanisms enable agents to self-improve their skills, a key source of intelligence. 3. The Goal of AI Agents: Autonomy and Collaboration in Multi-Agent Systems Why autonomy matters: reduces human dependency, increases efficiency. ...

Understanding Artificial Intelligence: Definitions, Foundations, and Approaches Artificial Intelligence, or more commonly known as AI, is now present in almost every aspect of our lives. From movie recommendations on streaming apps, customer service chatbots, to self-driving cars — all are the result of decades of research into how to make machines “intelligent” like humans. But what exactly is AI? Where did the idea come from? Let’s break it down in simple terms. ...