Harnessing R Packages for Modern Artificial Intelligence

🚀 *UNILORIN R Users Group Workshop Series: Harnessing R Packages for Modern Artificial Intelligence*

📚 *Resources used in the event:*
Visit the GitHub Repo: https://github.com/gbganalyst/youtube/tree/main/UNILORIN-R-Users-Group/Meetup-with-Henry

The R ecosystem has rapidly expanded with innovative packages that bring modern Artificial Intelligence (AI) and Large Language Models (LLMs) directly into R workflows. These tools enable R users to interact seamlessly with AI models, integrate contextual insights from their R sessions, and even embed intelligent assistants within their development environments.

🔍 Audience Takeaways
Participants will gain hands-on understanding and practical skills for integrating AI tools into R. Key learning points include:

- LLM Integration in R: Learn how to call and control large language models using ellmer, and how to supply them with session-aware context via tools like btw and mcptools.

- AI-Assisted Coding Workflows: Explore helpers such as chores, gander, buggy, and ensure to automate refactoring, documentation, test generation, and debugging through AI.

- Data Analysis with AI: Discover how to leverage LLMs for data-centric tasks such as model evaluation (vitals), retrieval-augmented generation (ragnar), and text processing on data frames (mall).

- Exploring Specialised Tools: Get exposed to advanced packages like kuzco (for LLM-based computer vision) and shinychat (for chatbot integration in Shiny apps), broadening your view of AI applications beyond text.

- Practical Insights: Understand when and why to use each package, with discussions around performance, cost, and best-fit scenarios.

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