Learning
Timing
Tech Light
Dr. Kris Manohar, UWI
Taurean Dyer, NVIDIA
Strategy
Njeri Wakins, QuantumLink
Dr. Mohammed Osman – Osman Analytics
Intro
Sunday:
1:00 PM – 4:00 PM
Joint AI Strategy and Enablement Master Class
Understanding some Fundamentals Foundations & Data Science
Monday Block 2:
1:40 PM – 3:00 PM
Customizing Gen AI
Monday Block 2:
3:10 PM – 4:30 PM
Deploying AI
Tuesday Block 4:
2:20 – 4:30+
Generative AI Explained (2hr)
Across industries, modern data science requires large amounts of data to be processed quickly and efficiently. These workloads need to be accelerated to ensure prompt results and increase overall productivity. NVIDIA RAPIDS offers a seamless experience to enable GPU-acceleration for many existing data science tasks with zero code changes.
In this course, you’ll learn to use RAPIDS to speed up your CPU-based data science workflows.
By participating in this workshop, you’ll:
Artificial Intelligence, or AI, is transforming society in many ways. From speech recognition to self-driving cars, to the immense possibilities offered by generative AI. AI technology provides enterprises with the compute power, tools, and algorithms their teams need to do their life’s work. This introductory course provides invaluable insights into the evolving landscape of AI. Whether you’re a seasoned professional or just beginning your journey into AI, this course is essential for staying ahead in today’s rapidly evolving technological landscape.
Retrieval Augmented Generation (RAG) – Introduced by Facebook AI Research in 2020, is an architecture used to optimize the output of an LLM with dynamic, domain specific data without the need of retraining the model. RAG is an end-to-end architecture that combines an information retrieval component with a response generator. In this introduction we provide a starting point using components we at NVIDIA have used internally. This workflow will jumpstart you on your LLM and RAG journey.
NVIDIA NIM™ is a set of easy-to-use microservices designed for secure, reliable deployment of high performance AI model inferencing across the cloud, data center and workstations. It is designed to speed up AI deployment in enterprises, supporting various optimized community AI models. This Deep Learning Institute (DLI) course covers important concepts to help developers understand how NIM enables the building, deploying, and scaling of AI applications.
Generative AI describes technologies that are used to generate new content based on a variety of inputs. In recent time, Generative AI involves the use of neural networks to identify patterns and structures within existing data to generate new content. In this course, you will learn Generative AI concepts, applications, as well as the challenges and opportunities in this exciting field.
Upon completion, you will have a basic understanding of Generative AI and be able to more effectively use the various tools built on this technology.
The University of the West Indies Five Islands Campus
Five Islands Village
Antigua & Barbuda
Tel: +1 268-484-3900
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