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Introduction

Date: Tuesday, October 8, 2024
Time: 4:00 p.m. - 5:00 p.m. CEST
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 Datasheet

Get a quick low-down and technical specs for the DGX Station.
DGX Station Whitepaper

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.
DGX Station Whitepaper

Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.

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Speakers

Meriem Bendris
Senior Solution Architect - Conversational AI, NVIDIA
Meriem is a senior deep learning data scientist at NVIDIA, supporting partners delivering AI/deep learning solutions. Meriem's area of expertise is conversational AI and large-scale natural language processing. Meriem holds a Ph.D. in signal and image from Telecom ParisTech, where she studied machine learning applied to speech and computer vision.
Rita Fernandes Neves
Senior Solutions Architect, Gen AI, NVIDIA
Rita is a senior solutions architect specializing in Generative AI technologies at NVIDIA. She is currently focusing on the implementation of RAG pipelines, with expertise spanning from recommendations, information retrieval to reinforcement learning. Rita holds a PhD in Aerospace Engineering, where she focused on optimisation and mathematical modeling of interplanetary trajectories for asteroid retrieval.
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Date & Time: Wednesday, April 22, 2018