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Design Guide—Generative AI in the Enterprise – Model Customization
Introduction
Overview
Document purpose
Audience
Revision history
Customizing Large Language Models Solution Components Solution Architecture Validation Results Performance Characterization Dell Professional Services for Generative AI Conclusion References Sample Scripts

Document purpose

Document purpose

  • This guide describes the Dell Validated Design for Generative AI Model Customization with NVIDIA, an optimized solution for enterprises to customize LLMs using Dell and NVIDIA technology.

    It describes the validated design and reference architecture for a modular and scalable platform for generative AI in the enterprise. The guide focuses on model customization, which is retraining a model with custom data to tailor it to perform specific tasks or generate content that aligns with specific use cases. 

    This guide can be read alongside the associated Generative AI in the Enterprise white paper, and can be used together with the Generative AI in the Enterprise – Inferencing design guide. The white paper provides an overview of generative AI, including its underlying principles, benefits, architectures, and techniques; the various types of generative AI models and how they are used in real-world applications; and descriptions of the various Dell and NVIDIA hardware and open-source software components to be used in the series of validated designs to be released. The inferencing design guide describes a similar methodology that complements this design.