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LLMs | LLMs and Tools: Function Calling | Lec 18.2
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tl;dr: This lecture covers the methodologies for enabling LLMs to call and utilize external APIs, discussing techniques to train models for selecting and using functions as needed, thereby expanding their practical capabilities in interacting with the external digital environment.
📚 Suggested Readings:
In this lecture, we delve into the techniques for teaching Large Language Models (LLMs) to interface with APIs and effectively call appropriate functions. By enabling function calling capabilities, LLMs can perform tasks such as data retrieval, computations, and interacting with real-world applications. We’ll explore the architecture and strategies behind equipping models to understand when and how to use specific APIs, enhancing their utility in practical, dynamic scenarios.
📚 Suggested Readings:
In this lecture, we delve into the techniques for teaching Large Language Models (LLMs) to interface with APIs and effectively call appropriate functions. By enabling function calling capabilities, LLMs can perform tasks such as data retrieval, computations, and interacting with real-world applications. We’ll explore the architecture and strategies behind equipping models to understand when and how to use specific APIs, enhancing their utility in practical, dynamic scenarios.