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All talks by Generative AI
4 talks·4 with video·2 years
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In this comprehensive talk session, we will delve into the fascinating world of Generative Artificial Intelligence (AI), exploring its underlying architectures and cutting-edge applications. Generative AI has emerged as a game-changer, revolutionizing various industries with numerous capabilities. During the first part of the session, we will present the foundational concepts through a quip recap. Building upon this foundation, we will dive deeper into the cutting-edge architectures and techniques driving the latest advancements in Generative AI. One such groundbreaking approach is the Retrieval-Augmented Generation (RAG) model, which combines the power of retrieval systems with generative language models, enabling more accurate and context-aware text generation. As we navigate the realms of Generative AI, we will also address the critical aspect of security, audit, and compliance. Responsible development and deployment of AI systems are paramount, and we will explore the measures and frameworks in place to ensure the safe and ethical use of these technologies. To further enhance the learning experience, the talk session will include a live demo segment. Attendees will have the opportunity to witness the power of Generative AI firsthand as we showcase through a real world use case.
NVIDIA's Earth-2 Inference service is revolutionizing extreme weather forecasting by enabling users to combine global medium-range AI weather prediction models like NVIDIA’s FourCastNet with generative AI super-resolution / downscaling models like NVIDIA’s CorrDiff. This innovative approach enables the rapid exploration of numerous high-resolution weather forecast scenarios, providing decision-makers with a detailed understanding of a storm's potential impacts. By empowering proactive strategies, this groundbreaking technology aims to minimize the loss of life and property damage caused by extreme weather events. Video Outline: As the earth’s climate changes, AI-powered weather forecasting is allowing us to more accurately predict and track severe storms like Super-Typhoon Chanthu which caused widespread damage in Taiwan, the Philippines, China, and Japan in 2021. Current AI forecast models can accurately predict the track of storms, but they are limited to 25-kilometer resolution, which can miss important details. NVIDIA's CorrDiff is a revolutionary new generative model trained on high-resolution radar-assimilated WRF weather forecasts and ERA5 reanalysis data. Using CorrDiff, extreme events like Chanthu can be super-resolved from 25km to 2km resolution, with 1,000 times the speed and 3,000 times the energy efficiency of conventional weather models. By combining the speed and accuracy of NVIDIA's weather forecasting model FourCastNet and generative AI models like CorrDiff, we can explore hundreds or even thousands of kilometer-scale regional weather forecasts to provide a clear picture of the best, worst, and most likely impacts of a storm. This wealth of information can help minimize loss of life and property damage. Today, CorrDiff is optimized for Taiwan. But soon, generative super-sampling will be available as part of the NVIDIA Earth-2 Inference Service for many regions across the globe. NVIDIA’s Earth-2 Service consists of cloud-based building blocks enab
Generative AI has the power to transform entire industries, revolutionize job roles, boost productivity and open a new era of innovation. But it also poses challenges such as the disruption of entire industries, job reorientation and synthetic media that erodes trust. What are the opportunities and challenges of generative AI and what implications will it have for industries?
This talk explores how generative AI is revolutionizing customer experience, offering businesses innovative strategies to personalize interactions, enhance service, and drive meaningful engagement across digital platforms.