Boundary makes it easy to build, test, and develop LLM applications.

Discover the key differences and advantages of RAG, AI Agents, and Agentic RAG. Explore how these cutting-edge technologies power smarter AI solutions.

Swipe through trending GitHub repositories and topics in a fun, TikTok-style interface. Turn your scrolling habit into learning opportunities.

Learn about Claude Code, an agentic coding tool made by Anthropic. Currently in beta as a research preview.

Reads cell contents plus formatting from a spreadsheet file and creates an editable gt object with the same data and formatting. Supports the most commonly-used cell and text styles including colors, fills, font weights and decorations, and borders.

The R task Force - R experts for all your needs

Get started building your own server to use in Claude for Desktop and other clients.

Anthropic developed the Model Context Protocol (MCP), an open standard that connects AI assistants to systems where data actually lives—content repositories, business tools, development environments, and more.

Help I understand and agree to https://books.ropensci.org/targets/help.html. Description I want to use targets as a form of a local, file-based ETL tool. That is, I have some data in some format, w...

Intro Querying JSON with SQL is extremely powerful and convenient.  Some great things about:Use SQL to query unstructured data Join relational and JSON tables Convert between JSON and relational schemaBut query writing can be difficult and non obvious at first.  Official documentation doesn't have many samples. Many useful queries need other great but not widely known

DevSamples is a list of code samples for you to copy and paste into your projects as needed. The primary focus is on web development, but there are samples from a variety of languages.

Building a Retrieval-Augmented Generation (RAG) prototype with ellmer and duckdb in R

A tidy interface for integrating large language model (LLM) APIs such as Claude, Openai, Groq,Mistral and local models via Ollama into R workflows. The package supports text and media-based interactions, interactive message history, batch request APIs, and a tidy, pipeline-oriented interface for streamlined integration into data workflows. Web services are available at , , , and .

Batch process chats from ellmer in sequence or parallel.

Introducing agent mode for GitHub Copilot in VS Code, announcing the general availability of Copilot Edits, and providing a first look at our SWE agent.

Learn about generative AI workflows in Vertex AI, available models (including Gemini), and how to start building your generative AI app.

Get started with the Model Context Protocol (MCP)

An artificial intelligence (AI) agent refers to a system or program that is capable of autonomously performing tasks on behalf of a user or another system.

Support chat with Large Language Models. Contribute to choonghyunryu/chat2doc development by creating an account on GitHub.

testthat-style LLM evaluation for R. Contribute to simonpcouch/evalthat development by creating an account on GitHub.

Perform live data queries with R Sidebot and get ChatGPT like responses in your R Shiny applications.

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.

Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI - GoogleCloudPlatform/generative-ai