LLMs in R & Python
Published: April 14, 2026
Learn how to work with Large Language Models programmatically in R and Python, from sending API requests to generating structured outputs and summarising content.
Tag: Ai
AIP 2026 Sponsors
Published: April 1, 2026
Meet the sponsors making AI in Production 2026 possible. The conference takes place on 4–5 June in Newcastle upon Tyne.
AI in Production Workshops 2026
Published: March 11, 2026
Explore the hands-on workshops taking place on Day 1 of AI in Production 2026 in Newcastle, covering LLM integration, Databricks architecture, Shiny apps with AI, and self-hosted LLM infrastructure.
{ellmer} for Dynamic Alt Text
Published: January 22, 2026
Ever had trouble adding alt text to your dynamic plots and tables within Shiny apps? That's where ellmer comes in, allowing us to query LLM APIs and generate suitable alt text.
Why Speak at AI in Production
Published: January 20, 2026
Submitting a talk is not about promotion. It is a way to reflect on your work, invite useful feedback, and turn hard-won experience into something others can learn from.
Retrieval-Augmented Generation: Setting up a Knowledge Store in R
Published: January 8, 2026
Learn about retrieval-augmented generation (RAG) workflows for large language models. This blog provides a hands-on introduction, including example code for creating a working knowledge store using open source packages in R.
Submitting conference abstracts
Published: December 2, 2025
A simple guide to help first time speakers write clear, useful conference abstracts that reviewers can understand and audiences can benefit from.
AI in Production 2026
Published: November 19, 2025
Registration is open for the first AI in Production conference, taking place in Newcastle Upon Tyne on 4 and 5 June 2026.
AI In Music Production
Published: August 14, 2025
For quite some time, AI had kept it's grubby little hands out of the music production world. Now, a good percentage of the plugins (a plugin is a piece of software you can "plug in" to an audio track to add effects or generate audio) I see are advertised as "using AI". From reverb removers (yes, that's right, you can now remove the reverb from an audio recording), to EQ analysers. Today we'll focus on stem separation.
