Bibliographic Details
| Title: |
Understanding AI Agents and Agentic AI: Concepts, Tools, and Implementation with SmolAgents. |
| Authors: |
Lee, Wei-Meng |
| Source: |
CODE Magazine; Jan/Feb2026, Vol. 27 Issue 1, p28-39, 12p, 3 Color Photographs |
| Subject Terms: |
INTELLIGENT agents, AUTONOMOUS robots |
| Abstract: |
The article focuses on the evolution of artificial intelligence towards agentic AI, which enables systems to autonomously understand user intent, plan actions, and utilize external tools to solve complex tasks. It introduces SmolAgents, a lightweight framework for building AI agents that can perform multi-step reasoning and integrate various tools, such as APIs and custom functions. The article details two main types of agents within SmolAgents: CodeAgent, which executes Python code, and ToolCallingAgent, which interacts with external APIs to gather information. Through practical examples, it illustrates how these agents can effectively handle real-world queries by breaking them down into manageable tasks and synthesizing the results into coherent responses. [Extracted from the article] |
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| Database: |
Complementary Index |
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