Must read the terminologies if you want to start learning AI Agents Here are the first twenty you should try learning... 1. Agent: An Autonomous entity that utilizes prompts and the environment to perceive and act on a goal. 2. Environment: Context or sandbox where an AI agent operates and interacts with other tools. 3. Perception: The AI Agent’s ability to understand and interpret environmental data. 4. Action: The current process performed by an AI agent, given a prompt or feedback by the user. 5. State: The current condition of an agent’s environment, process, or system for a defined purpose. 6. LLMs: Large Language Models – The brain behind the Agents to think and perform their actions. 7. LRMs: Large Reasoning model – a reasoning-type language model for more context-based reasoning in AI Agents. These are slower than LLMs but provide better results. 8. Tools: Native or third-party APIs used by Agents to perform specialised tasks beyond their built-in capabilities. 9. Memory: Storage for current context as well as past user interactions and processes. 10. Knowledge Base: Database for Agents’, mainly used to fuel and generate outcomes based on the inputs. 11. Orchestration: The Process of developing agents’ interaction, starting from input and reasoning to output. 12. Planning: The process of an AI agent determining a sequence of actions to achieve a goal. 13. Evaluation: The assessment of an AI agent’s performance and accuracy in achieving its goals. 14. Architecture: The blueprint of an AI agent, defining how its components interact and function. 15. CoT: A reasoning technique where an agent breaks down complex problems into sequential steps. 16. ReACT: A reasoning framework for combining reasoning and acting iteratively. 17. Multi-Agent System (MAS): Multiple AI agents interacting in a shared space. 18. Swarm: Agents that collectively exhibit intelligent behavior through self-organized interactions. 19. Hand-offs: The transfer of tasks or responsibilities between Multiple AI agents. 20. Agent Debate: AI agents engage in structured argumentation or discussion to create better outcomes. Did I miss any important terms? Let me know in the comments below 👇 If you are a business leader, we've developed frameworks that cut through the hype, including our five-level Agentic AI Progression Framework to evaluate any agent's capabilities in my latest book. 🔗 Book info: https://amzn.to/4irx6nI Save 💾 ➞ React 👍 ➞ Share ♻️ & follow for everything related to AI Agents | 37 comments on LinkedIn