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Retrieval Augmented Generation
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In this NVIDIA course, Dave Barry, Senior Solutions Architect, talks about a technique known as Retrieval Augmented Generation (RAG). It is a powerful tool for enhancing the accuracy and reliability of Generative AI models with facts fetched from external sources.
This course requires prior knowledge of Generative AI concepts, such as the difference between model training and inference. Please refer to relevant courses within this curriculum.
Course Objectives:
By the end of this training, you should be able to:
1. Explain the limitations of large language models to customers
2. Articulate the value of RAG to enterprises
3. Demo an NVIDIA RAG workflow with a video
4. Drive TCO conversations using an authentic use case
Tags: Nvidia
Published: 2024-08-02
Length: 15 minutes
Start the training:
Employee link: Grow@Lenovo
Partner link: Lenovo Partner Learning
Course code: DAINVD107
Language: English (US)
Products Covered
NVIDIA GPU Hardware
NVIDIA H100 GPU
NVIDIA L4 GPU
NVIDIA L40 GPU
NVIDIA L40S GPU
NVIDIA Software
Links to referenced documents in Lenovo Press:
