A recent paper by the Salesforce AI research team describes a method for generating function-calling datasets for Large Language Models (LLMs). Function calling enables LLMs to interact with external systems, like remote APIs, databases, or in-process code. This equips LLMs with tools to perform specific actions, such as retrieving weather information, booking reservations, or fetching stock data from APIs.
If you’re unfamiliar with function calling, refer to the OpenAI docs to learn more.
This post explores practical takeaways for developers building LLM applications.
Continue reading “Practical Takeaways from “APIGen: Automated PIpeline for Generating Verifiable and Diverse Function-Calling Datasets” Paper”