Building Intelligent AI Chatbots Using RAG
See how organizations can build highly customized AI chatbots that can seamlessly access, process, and present data from current, domain-specific, trusted sources.
Offer
Date: Wednesday, December 13, 2023
Time: 9:00–10:00 a.m. PT | 6:00–7:00 p.m. CET
Duration: 1 hour
Time: 9:00–10:00 a.m. PT | 6:00–7:00 p.m. CET
Duration: 1 hour
To stay competitive in today's rapidly evolving tech landscape, integrating AI into business operations isn’t just a choice anymore—it’s become 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.
- How chatbots, AI assistants, and copilots are transforming the way businesses operate
- The basics of retrieval-augmented generation as a powerful technique driving enterprise generative AI applications
- Key use cases that are being accelerated with AI-powered assistants
- Considerations for building safe, secure AI chatbots that stay on task
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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
Amanda Saunders
Senior Product Marketing Manager, NVIDIAAmanda 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™. Before joining NVIDIA, Amanda led initiatives that spotlighted the value of cloud, networking, and desktop virtualization products in the enterprise realm. Amanda has also occupied pivotal sales and marketing roles, in which she dove deep into domains like AI, data science, virtual GPUs, and edge solutions.
Jacob Liberman
Senior Product Marketing, NVIDIAJacob 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. Previously, he held product management and engineering roles at Red Hat, AMD, and Dell.
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Date & Time: Wednesday, April 22, 2018