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ragnar 0.3.0

The new release of ragnar adds faster ingestion, new embedding providers, improved retrieval, and new integrations for using ragnar stores from tools

Tomasz Kalinowski

Jan 27, 2026

tidyverse ragnar Artificial Intelligence Ai Tidyverse Packages

blog post

ellmer 0.4.0

ellmer 0.4.0 includes important lifecycle updates, new Claude features (caching, file uploads, web tools), OpenAI improvements, and enhancements to error handling, pricing tracking, and security

Hadley Wickham

Nov 18, 2025

tidyverse ellmer Artificial Intelligence Tidyverse Packages

blog post

ragnar 0.2

ragnar 0.2 introduces a tidy, transparent toolkit for building Retrieval-Augmented Generation (RAG) pipelines in R

Tomasz Kalinowski

Aug 20, 2025

tidyverse ragnar Artificial Intelligence Ai Tidyverse Packages

blog post

mall 0.2.0

The mall 0.2.0 update for R and Python introduces support for external LLM providers like OpenAI and Gemini. This version also features parallel processing for R users, the ability to run NLP on string vectors in Python, and a brand new cheatsheet

Edgar Ruiz

Aug 19, 2025

Artificial Intelligence Machine Learning Ai LLM Polars Natural Language Processing Tabular Data

blog post

ellmer 0.3.0

The newest version of ellmer introduces a simpler chat() interface that can works with any provider, a bunch of improvements to tool calling, and a handful of smaller quality of life improvements

Hadley Wickham

Jul 25, 2025

tidyverse ellmer Artificial Intelligence Ai Tidyverse Packages

blog post

R and the Model Context Protocol

The newly released mcptools package makes coding assistants better at writing R code and applications built with ellmer more powerful

Simon Couch

Jul 21, 2025

tidyverse ellmer Artificial Intelligence Ai Tidyverse Packages

blog post

Introducing vitals, a toolkit for evaluating LLM products in R

Introducing vitals, a toolkit for evaluating LLM products in R

The first release of vitals, a package for large language model evaluation in R, just made it to CRAN

Simon Couch

Jun 27, 2025

tidyverse ellmer Artificial Intelligence Ai Tidyverse Packages

blog post

ellmer 0.2.0

ellmer 0.2.0 lands with a swag of upgrades: Garrick Aden‑Buie joins the team, we make a couple of breaking changes, and add serious scale with parallel_chat() and batch_chat(). A new params() helper standardises model settings across providers and chats now report how much they cost. The release also tidies chat_* names, bumps default models and adds Hugging Face, Mistral AI, and Portkey connectors

Hadley Wickham

May 28, 2025

tidyverse ellmer Artificial Intelligence Ai Tidyverse Packages

blog post

Three experiments in LLM code assist with RStudio and Positron

Three experiments in LLM code assist with RStudio and Positron

We’ve been experimenting with LLM-powered tools to streamline R data science and package development

Simon Couch

Jan 29, 2025

tidyverse ellmer Artificial Intelligence Ai Tidyverse Roundup

blog post

Introducing mall for R…and Python

We are proud to introduce the {mall} package. With {mall}, you can use a local LLM to run NLP operations across a data frame. (sentiment, summarization, translation, etc). {mall} has been simultaneously released to CRAN and PyPi (as an extension to Polars)

Edgar Ruiz

Oct 30, 2024

Artificial Intelligence Machine Learning Ai LLM Polars Natural Language Processing Tabular Data

blog post

Chat with AI in RStudio

Interact with Github Copilot and OpenAI’s GPT (ChatGPT) models directly in RStudio. The chattr Shiny add-in makes it easy for you to interact with these and other Large Language Models (LLMs)

Edgar Ruiz

Apr 4, 2024

rstudio Artificial Intelligence Ai Generative Models Packages Releases

blog post

What are Large Language Models? What are they not?

What are Large Language Models? What are they not?

This is a high-level, introductory article about Large Language Models (LLMs), the core technology that enables the much-en-vogue chatbots as well as other Natural Language Processing (NLP) applications. It is directed at a general audience, possibly with some technical and/or scientific background, but no knowledge is assumed of either deep learning or NLP. Having looked at major model ingredients, training workflow, and mechanics of output generation, we also talk about what these models are not

Sigrid Keydana

Jun 20, 2023

Best Practices Artificial Intelligence Ai Meta Concepts Natural Language Processing

blog post

GPT-2 from scratch with torch

Implementing a language model from scratch is, arguably, the best way to develop an accurate idea of how its engine works. Here, we use torch to code GPT-2, the immediate successor to the original GPT. In the end, you’ll dispose of an R-native model that can make direct use of Hugging Face’s pre-trained GPT-2 model weights

Sigrid Keydana

Jun 20, 2023

Machine Learning Artificial Intelligence Ai Torch Natural Language Processing

blog post

LLaMA in R with Keras and TensorFlow

Implementation and walk-through of LLaMA, a Large Language Model, in R, with TensorFlow and Keras

Tomasz Kalinowski

May 25, 2023

keras3 Machine Learning Artificial Intelligence Ai TensorFlow Keras Generative Models Natural Language Processing

blog post

Innocent unicorns considered harmful? How to experiment with GPT-2 from R

Innocent unicorns considered harmful? How to experiment with GPT-2 from R

Is society ready to deal with challenges brought about by artificially-generated information - fake images, fake videos, fake text? While this post won’t answer that question, it should help form an opinion on the threat exerted by fake text as of this writing, autumn 2019. We introduce gpt2, an R package that wraps OpenAI’s public implementation of GPT-2, the language model that early this year surprised the NLP community with the unprecedented quality of its creations

Sigrid Keydana, Javier Luraschi

Oct 23, 2019

reticulate Artificial Intelligence Ai Natural Language Processing Packages Releases