NVIDIA Webinar
Offer
Date: Wednesday, August 7, 2024
Time: 9:00 am- 10:00 am PT
Duration: 1 hour
Time: 9:00 am- 10:00 am PT
Duration: 1 hour
Join us for an insightful webinar to learn how you can improve the accuracy and scalability of text retrieval for production-ready generative AI pipelines. With the newest available NVIDIA NeMo™ Retriever and NVIDIA NIM microservices, developers and IT practitioners can elevate enterprise data insights for several use cases.
Built as an NVIDIA NIM, the NeMo Retriever microservices can be used together, or individually to complement community models, NVIDIA models, or your own custom models, and can be easily customized and deployed anywhere your enterprise data resides. Learn how to achieve the most accurate responses for text Q&A, and deploy wherever your enterprise data lives—cloud, data center, or hybrid.
By joining this webinar, you’ll explore:
- What NVIDIA NeMo Retriever and NIM microservices are, and the applicable use cases.
- How to build enterprise-grade retrieval pipelines wherever your data lives.
- Real-world examples and performance benchmarks.
- How to get started quickly and seamlessly.
- Live Q&A with NVIDIA experts
Webinar Registration
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DGX Station Whitepaper
Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
DGX Station Whitepaper
Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
DGX Station Whitepaper
Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
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Speakers
Nicola Sessions
Senior Manager of Enterprise Product Marketing, NVIDIANicola leads product marketing for NVIDIA AI workflows and solutions. She’s focused on helping enterprises discover how AI and data science solutions for cybersecurity, conversational AI, route optimization, and recommender systems can transform their businesses. Nicola has worked in product management and product marketing roles covering virtualization, data center, cloud, and end-user computing
Nave Algarici
Generative AI Software Product Manager, NVIDIANave Algarici is an AI and deep learning product manager at NVIDIA, responsible for NeMo Retrieval and a member of the NeMo-LLM product team. Before joining NVIDIA, Nave managed the AI research and development at Voca, acquired by Snap. He holds an MBA from UC Berkeley Haas School of Business and master’s and bachelor’s degrees in Electrical Engineering from Ben Gurion University, Israel.
Chris Alexiuk
Deep Learning Developer Advocate, NVIDIAFormerly a data scientist and machine learning engineer, Chris works to create technical assets related to deep learning, LLMs, and more.
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Date & Time: Wednesday, April 22, 2018