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🚀 UNILORIN R Users Group Workshop Series: Harnessing R Packages for Modern Artificial Intelligence 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. 📚 Resources used in the event: Visit the GitHub Repo: https://github.com/gbganalyst/youtube...