Analysis
This article dives into how AI エージェント（Agent） can overcome the limitations of 大規模言語モデル (LLM) by leveraging external APIs and function calls! It showcases an innovative approach to enabling LLMs to interact with the real world, allowing them to gather real-time data and perform actions beyond simple text generation. This opens exciting new possibilities for AI applications.
Key Takeaways
- •The article explains how AI agents utilize Function Calling and Tool Use to extend Large Language Model capabilities.
- •It details the process of defining tools using JSON schemas, allowing LLMs to interact with external APIs.
- •The approach helps LLMs overcome limitations like outdated knowledge and inability to access real-time data.
Reference / Citation
View Original"This gap is filled by Function Calling and Tool Use."