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DLRG Mini-Course: Building Transformers Models for Conversational AI Tools 1

Online

Title: 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 […]

DLRG Mini-Course: Building Transformers Models for Conversational AI tools 2

Online

Title: 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 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 build […]

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, […]

DLRG – Fundamentals of Deep Learning – 1

TrAC DLRG Mini-course on Fundamentals of Deep Learning (class 1/3) In this mini-course, we will cover basic fundamental concepts of deep learning. This is a series of 3 lectures spread over 3 weeks.

$20

ADLRG – Deep Reinforcement Learning – 1

TrAC ADLRG Mini-course on Deep Reinforcement Learning (class 1/3) In this mini-course, we will cover concepts in deep reinforcement learning. To register for this course, visit this link: https://trac-ai.iastate.edu/2024/01/16/trac-events-for-spring-2024/news/

DLRG – Fundamentals of Deep Learning – 2

TrAC DLRG Mini-course on Fundamentals of Deep Learning (class 2/3) In this mini-course, we will cover basic fundamental concepts of deep learning. This is a series of 3 lectures spread over 3 weeks.