Natural language processing has come a long way since its foundations were laid in the 1940s and 50s (for an introduction see, e.g., Jurafsky and Martin (2008, 2009, 2022 draft third edition): Speech and Language Processing, Pearson Prentice Hall). This CRAN task view collects relevant R packages that support computational linguists in conducting analysis of speech and language on a variety of levels - setting focus on words, syntax, semantics, and pragmatics.
What is the Model Context Protocol (MCP)? — WorkOS
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.
GitHub Copilot: The agent awakens - The GitHub Blog
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.
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.
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.
The HUD-eGIS Storefront provides a one-stop shop where users can search for and discover HUD's geospatial datasets, web-based mapping, tools, and application program interfaces (APIs).
The HUD-eGIS Storefront provides a one-stop shop where users can search for and discover HUD's geospatial datasets, web-based mapping, tools, and application program interfaces (APIs).
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.