DLRG Mini-Course: Data Parallel Deep Learning using Multiple GPUs 2
OnlineTitle: Data Parallel Deep Learning using Multiple GPUs 2Date: Oct 30, 2023Time: 1-3:30 pm CSTLocation: Online Registration closed... Check canvas for zoom link
Loading view.
ADLRG Mini-Course: Scientific Machine Learning 3
OnlineTitle: Scientific Machine Learning 3Date: Oct 30, 2023Time: 4-6pm CSTLocation: Online https://forms.gle/o8t4NAnEcfBE1GJ6A
TrAC Seminar Series – Madhav Marathe
2004 Black EngineeringDLRG Mini-Course: Building Transformers Models for Conversational AI Tools 1
OnlineTitle: Building Transformers Models for Conversational AI ToolsDate: Nov 6, 2023Time: 1-3:30 pm CSTLocation: Online Registration: https://forms.gle/o8t4NAnEcfBE1GJ6A Learning Objectives Learn how to quickly build and deploy production-quality speech AI applications with real-time transcription and natural language processing (NLP) capabilities.speech AI pipelines are complex and expensive to develop from scratch. In this course, you'll learn to […]
ADLRG Mini-Course: Generative AI (Vision) 1
OnlineTitle: Generative AI (Vision) 1Date: Nov 6, 2023Time: 4-6pm CSTLocation: Online https://forms.gle/o8t4NAnEcfBE1GJ6A
DLRG Mini-Course: Building Transformers Models for Conversational AI tools 2
OnlineTitle: Building Transformers Models for Conversational AI ToolsDate: Nov 13, 2023Time: 1-3:30 pm CSTLocation: Online https://forms.gle/o8t4NAnEcfBE1GJ6A Learning Objectives Learn how to quickly build and deploy production-quality speech AI applications with […]
ADLRG Mini-Course: Generative AI (Vision) 2
OnlineTitle: Generative AI (Vision) 2Date: Nov 13, 2023Time: 4-6pm CSTLocation: Online https://forms.gle/o8t4NAnEcfBE1GJ6A
Prompt Engineering and Retrieval Augmented Generation
This intensive 8-hour tutorial will provide a hands-on introduction to two of the most important techniques for getting the most out of large language models: prompt engineering and retrieval augmented generation (RAG). In the first half of the course, you will learn prompt engineering techniques like zero-shot prompting, few-shot prompting, chain-of-thought prompting, and more to […]
TrAC Seminar Series – John Evans
Title: Data-Driven Turbulence Modeling and Simulation Abstract Turbulent fluid flows are characterized by a wide spectrum of spatial and temporal scales.Unfortunately, the cost of resolving these scales with Direct Numerical Simulation (DNS) growsquickly with Reynolds number, so engineers will be unable to apply DNS to aerodynamic flows ofindustrial interest for many decades to come. Alternatively, […]