Posit

Building the Future of Data Apps: LLMs Meet Shiny

When we think of LLMs (large language models), usually what comes to mind are general purpose chatbots like ChatGPT or code assistants like GitHub Copilot. But as useful as ChatGPT and Copilot are, LLMs have so much more to offer—if you know how to …

Positron Assistant for Developing Shiny Apps

This talk will explore building AI Apps with a focus on Positron Assistant for Shiny developer experience and in-IDE tooling for accelerating app creation. This talk will discuss tools like ellmer / chatlas / querychat / shinychat and compare it to …

Wrap Up / Q&A

Unfortunately we do not currently have an abstract, copy of the slides or link to the video to this presentation

Selected examples on how to scale-up computations in R (e.g. by using HPC)

From hours to minutes: accelerating your tidymodels code

This talk demonstrates a 145-fold speedup in training time for a machine learning pipeline with tidymodels through 4 small changes. By adapting a grid search on a canonical model to use a more performant modeling engine, hooking into a parallel …

Joe Cheng’s Keynote

R users tend to be skeptical of modern AI models, given our weird insistence on answers being accurate, or at least supported by the data. But I believe the time has come—or maybe it’s a little late—for even the most AI-cynical among us to push past …

Summer is Coming: AI for R, Shiny, and Pharma

R users tend to be skeptical of modern AI models, given our weird insistence on answers being accurate, or at least supported by the data. But I believe the time has come—or maybe it’s a little late—for even the most AI-cynical among us to push past …

Preview of Posit Administrator Training

Unfortunately we do not currently have an abstract, copy of the slides or link to the video to this presentation

Tables in Python with Great Tables

{shinylive}: Serverless Shiny applications workshop. An exercise in deploying your App to GitHub Pages