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An introduction to function calling and tool use
In this blog post, we’ll explore how AI Models Are Learning to Do Instead of Just Say. We will explain how function calling works, its real-world applications, and how you can implement it using tools like Ollama and Llama 3.2. Whether you’re a developer looking to build AI-powered applications or simply curious about how AI is transforming the way we interact with APIs, this guide will walk you through everything you need to know.
Describe R Stuff to Large Language Models
Provides a number of utilities for describing R objects and package documentation in plain text. For interactive use, this is especially powerful for describing relevant pieces of context to large language models. When used programmatically, these utilities can be registered with ellmer chats as tool calls, enabling language models to peruse package documentation and explore your computational environment.
R
AI
PowerShell
Standalone shiny application with nhyris
Transform your R Shiny applications into standalone desktop apps with nhyris. This minimal framework leverages Electron to simplify packaging and distribution, ensuring your Shiny apps are cross-platform and easy to deploy. Learn how to get started, customize your project, and build your first Electron application with nhyris.
R - Shiny
GMH
