Tiffany Yeung

Tiffany Yeung is a product marketing manager in edge and enterprise computing solutions at NVIDIA. Tiffany focuses on enabling hospitals, stores, warehouses, factories, and more to innovate with NVIDIA edge solutions. Prior to NVIDIA, Tiffany’s background was in entrepreneurship, and she has consulted for many Fortune 500 companies.
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Posts by Tiffany Yeung

Generative AI / LLMs

Mastering LLM Techniques: Training 

Large language models (LLMs) are a class of generative AI models built using transformer networks that can recognize, summarize, translate, predict, and... 15 MIN READ
LLM examples.
Conversational AI

New Ebook: A Beginner's Guide to Large Language Models

Download this free eBook to learn more about LLMs and how they are powering use cases such as chatbots, global translation, and summarization. 1 MIN READ
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Generative AI / LLMs

NVIDIA Announces Generative AI Services for Language, Visual Content, and Biology Applications

Generative AI is primed to transform the world’s industries and to solve today’s most important challenges. To enable enterprises to take advantage of the... 5 MIN READ
Data Center / Cloud

Explainer: What Is Edge Computing?

Edge computing is the practice of processing data physically closer to its source. 1 MIN READ
Computer Vision / Video Analytics

Smart Spaces: End-to-End AI Application Boosts Factory Efficiency

Smart spaces are delivering unprecedented value, creating a continuous flow of information between physical and digital worlds.  By incorporating... 4 MIN READ
Edge Computing

Common Challenges with Conducting an Edge AI Proof of Concept

A proof-of-concept (POC) is the first step towards a successful edge AI deployment. Companies adopt edge AI to drive efficiency, automate workflows, reduce... 10 MIN READ