AI Agent: Understanding the Mechanism by Building from Scratch
Analysis
This article discusses the rising popularity of "AI agents" and the abundance of articles explaining how to build them. However, it points out that many of these articles focus on implementation using frameworks, which allows for quick prototyping with minimal code. The article implies a need for a deeper understanding of the underlying mechanisms of AI agents, suggesting a more fundamental approach to learning and building them from the ground up, rather than relying solely on pre-built frameworks. This approach would likely provide a more robust and adaptable understanding of AI agent technology.
Key Takeaways
- •Focus on understanding the underlying mechanisms of AI agents.
- •Frameworks enable rapid prototyping but may obscure fundamental concepts.
- •Building from scratch can lead to a more robust understanding.
Reference
“昨今「AIエージェント」という言葉が流行し、さまざまな場面で見聞きするようになりました。”