This workshop introduces the basics of Large Language Models (LLMs), covering their foundations, capabilities, and practical applications. Learn how to implement LLMs, explore best practices, and responsibly integrate them into real-world projects. Supplemental materials are available.
Sharing your data and code is the essential step in maximizing the impact and usefulness of your research. Part of the Data Topics series of workshops, this workshop first reviews repositories for data publication such as Dataverse, ICPSR, OSF, Zenodo, and more. Then we turn to a detailed discussion of building R packages. R Packages … Read More
Creating interactive visualizations with Shiny in RStudio, and delivering Shiny visualizations on the web and hosting a Shiny server. Supplemental materials are available.
This workshop explores the integration of generative AI with autonomous agents to create innovative applications that can solve problems, automate tasks, and enhance creativity. Participants will learn how generative AI agents combine language models, tools, and APIs to perform complex tasks independently. Supplemental materials are available.
Dive into the fascinating world of recommender systems, the backbone of personalized experiences in today’s digital age. In this workshop, you’ll uncover how platforms like Netflix, Amazon, and Spotify predict what users want. Participants will gain insights into popular algorithms, including collaborative and content-based filtering, and apply these techniques to create intelligent recommendation solutions. Supplemental … Read More
Maintenance is usually scheduled for weekdays because it often involves coordination with university facilities teams or external vendors. There may also be times when Amarel must be unavailable due to externally-scheduled data center facilities, power, or telecommunications maintenance. When this happens, we will do our best to avoid adding to a month’s downtime with our … Read More
Some of the tidyverse's most powerful features are its abilities to import, filter, and otherwise manipulate data. This session reviews major packages within the tidyverse that relate to the essential data handling steps required before (and during) data analysis. Supplemental materials are available.
The RStudio environment enables the easy creation of documents in various formats (HTML, DOC, PDF) using Rmarkdown, while knitr allows the incorporation of executable R code to produce the tables and figures in those documents. This session introduces these concepts and other packages and practices supporting reproducibility with the R environment. Supplemental materials are available.