On Demand Webinar

To stay competitive in today’s rapidly evolving tech landscape, integrating AI into business operations isn’t a choice anymore – it’s a necessity.

Large language models (LLMs) have gained immense popularity, but they face challenges: They’re prone to hallucinations and have trouble understanding domain-specific topics. Retrieval-augmented generation (RAG) is a groundbreaking leap in AI technology that lets businesses leverage the power of domain-specific, real-time data like never before.

Why Attend?


1. Understand RAG

Learn the basics of RAG as a powerful technique that drives enterprise generative AI applications.

2. In-Webcast Walk-through of a RAG Integration

Watch an NVIDIA team member create a RAG integration and pose questions to the updated chatbot.

3. Learn Use Use Cases

Explore key scenarios that are being accelerated with AI-powered assistants.

4. Hear How Chatbots Transform Business Operations

Discover how chatbots, AI assistants, and co-pilots are advancing business operations.

Panelists

Brett Newman

VP Marketing & Customer Engagement, Microway

Brett has served many roles in AI & HPC—as a cluster & solution architect, as part of the OpenPOWER initiative at IBM from 2015-2017, and in product marketing focused solely on materials and resources with serious technical “street cred.”

Amanda Saunders

Senior Product Marketing Manager, NVIDIA

Amanda is a seasoned leader in generative AI product marketing at NVIDIA. Within the enterprise AI product group, her focus is on crafting compelling narratives for generative AI and large language model solutions, such as NVIDIA NeMo™

Jacob Liberman

Senior Product Manager, NVIDIA

Jacob is a product manager for enterprise generative AI focused on building solutions that help customers get started with custom LLMs quickly. He draws on 20+ years of technical computing experience to deliver high-performance, cloud-native edge AI solutions.


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