What Defines An AI Agent?
An AI Agent is software powered by one or more language models, especially large action models (LAMs), which enable the AI Agent to understand and address complex tasks.
Unlike traditional automation, an AI Agent can break down problems into sequential steps/sub-tasks, handling each individually.
Through iterative cycles of thought, action, and observation, the AI Agent adapts its responses based on feedback.
AI Agents also utilise a range of tools for interacting with systems like APIs or web searches, with their effectiveness shaped by the variety of these tools, enabling them to handle diverse tasks and execute intricate workflows.
Each tool has a description in natural language, the AI Agent then matches the sub-task at hand with the tool description to know which tool to match with which sub-task.
Tools can include functionality like Web Search APIs, Data Retrieval APIs, Code Execution Environments, Browser Automation Tools, Natural Language Processing (NLP) APIs, File Management Systems, ACI-Tools, vision, etc.
Chief Evangelist @ Kore.ai | I’m passionate about exploring the intersection of AI and language. From Language Models, AI Agents to Agentic Applications, Development Frameworks & Data-Centric Productivity Tools, I share insights and ideas on how these technologies are shaping the future.
