Gorilla OpenFunctions Tutorial

In this video, 1littlecoder introduces Gorilla OpenFunctions, an open-source alternative to OpenAI’s function calling feature. OpenFunctions extends Large Language Model (LLM) chat completion capabilities to formulate executable API calls based on natural language instructions and API context. The video begins with an explanation of function calling, detailing how AI can generate different types of responses, including simple text, computer code, and structured function calls. Function calling allows AI to interact with APIs to perform tasks like sending emails, fetching weather data, or querying databases. Gorilla OpenFunctions is highlighted as a significant development, offering an open-source model trained on curated API documentation and question-answer pairs. The video demonstrates how to use Gorilla OpenFunctions with a Google Colab notebook, showcasing examples of converting natural language queries into function calls. The model supports both code-based and HTTP request-based function calls, making it versatile for various applications. The speaker emphasizes the model’s open-source nature and its potential to replace proprietary solutions like OpenAI’s function calling. The video concludes with a discussion on the model’s performance, its licensing, and its applicability in building AI applications, particularly for developers who need an open-source solution for integrating APIs with LLMs.