Research Cyberinfrastructure promotes workshops and events for researchers at University of Central Florida (UCF). Subscribe to updates to receive email notifications for upcoming events and new opportunities. View past events in our events archive.
Upcoming Events
L200 – Recommended for researchers with foundational GenAI knowledge
This workshop focuses on techniques for customizing Large Language Models (LLMs) using Amazon Bedrock. Participants will explore four key areas: (1) Knowledge Bases and Retrieval Augmented Generation (RAG), a method to enhance LLMs with external information; (2) LLM Customization through Fine-Tuning and Continued Pre-Training, allowing researchers to tailor models for specific domains; (3) Image and Video Generation using Amazon Nova, pushing the boundaries of visual AI; and (4) Agents, creating autonomous AI systems for complex tasks. Leveraging Amazon Bedrock, a fully managed service that provides API access to state-of-the-art foundation models, attendees will gain hands-on experience in these advanced topics.
This workshop is designed for researchers who have a basic understanding of LLMs and are eager to dive deeper into customization techniques.
To participate in the hands-on lab during the session, you will need to provide your own computer with a web browser and a reliable internet connection.
Presented by Gabriel Brackman
In this demo, participants will dive into the world of prompt engineering—a crucial skill for effectively interacting with AI models like ChatGPT. Tailored for beginners to intermediates, this session will explore the art and science of crafting prompts that yield accurate, creative, and useful outputs. By the end of the workshop, attendees will have a solid understanding of prompt structuring techniques, practical applications, and best practices to harness AI's full potential in various contexts.
Presented by Vivek Sabbani, Nafisa Islam
Dive into the world of conversational AI in our workshop, where participants will gain exposure to building intelligent chatbots using the powerful combination of Microsoft Azure and OpenAI services. This session provides a practical exploration of creating intelligent chatbots without the need for extensive coding expertise. Don't miss this opportunity to elevate your understanding of chatbot development using OpenAI!
Presented by Nafisa Islam, Vivek Sabbani
The Pittsburgh Supercomputing Center is pleased to present an OpenACC GPU programming workshop.
OpenACC is the accepted standard using compiler directives to allow quick development of GPU capable codes using standard languages and compilers. It has been used with great success to accelerate real applications within very short development periods. This workshop assumes knowledge of either C or Fortran programming. It will have a hands-on component using the Bridges-2 computing platform at the Pittsburgh Supercomputing Center.
This will be an IN PERSON event hosted at the UCF satellite site, Research I, Room 101. There WILL NOT be a direct to desktop option for this event.
Tentative Agenda
The tentative agenda, subject to change, is below. It is designed to be time-zone friendly.
11:00 Welcome
11:15 Computing Environment
11:45 Parallel Computing and Accelerators
12:15 Introduction to OpenACC
1:00 Lunch break
2:00 Introduction to OpenACC, con’t, and exercises
4:00 Using OpenACC with CUDA Libraries
4:15 Advanced OpenACC
4:45 OpenMP and GPUs
5:00 Final Notes and Adjourn
Registration
Interested applicants must first have an ACCESS ID. If you do not have an ACCESS ID, please visit this page to create one: ACCESS USER REGISTRATION
Once you have an ACCESS ID, please complete registration by Monday, April 7 at Noon Eastern time: Event Registration
Location
Research I, Room 101 (For directions: https://www.ucf.edu/location/research-1/)
Note: Enter venue from the ENG side doors
Visitor Parking Information
https://parking.ucf.edu/permits/visitor-permits/
Wi-Fi
UCF affiliated attendees can use "UCF_WPA2" using their NID.
Visitors can use “UCF_Guest” network (https://guest-wireless.it.ucf.edu/)