Batch processing framework for ellmer chat model interactions. Enables sequential and parallel processing of chat completions. Core capabilities include error handling with backoff, state persistence, progress tracking, and retry management. Parallel processing is implemented via the future framework. Additional features include structured data extraction, tool integration, timeout handling, verbosity control, and sound notifications. Includes methods for returning chat texts, chat objects, progress status, and structured data.

This guide outlines my approach to building software projects using Cursor IDE, leveraging Gemini (gemini-exp-1206, gemini-2.0-flash-exp) and Claude (3.5 sonnet and 3 opus) for effective development and maintaining code integrity. 1. Project Setup: Laying the Foundation for AI Collaboration Think of your project as a well-organized workshop where you and your AI collaborators (Gemini and Claude) will build something amazing. The first step is to set up the workshop properly. 1.1. Define the Ru...

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Do you need to add LLM capabilities to your R scripts and applications? Here are three tools you'll want to know.

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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.

If you are looking to use Natural Language Processing in R applications, these are some of the best NLP packages you must know.

In this episode, Jay Nakashima, President of eHealth Exchange, joins us to discuss 'Project Best'—a groundbreaking collaboration between eHealth Exchange and...

An LLM prompt playground for structured prompting

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.

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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