Harnessing the Power of Specialized Language Models like ChatGPT for Business Success
By: Dell Technologies View more from Dell Technologies >>
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Generative AI in the enterprise with AMD Accelerators
By: Dell Technologies & AMD
Type: White Paper
How can you ensure your organization is leveraging GenAI to the best of its abilities? In essence, the key is to procure a solution that aligns with your IT teams’ demand for high-performance computing, your engineers’ imperative to quickly deploy AI apps, and your data scientists’ need for AI-supported insights.
This design guide describes the architecture of the Dell Validated Design for Generative AI with AMD accelerators, a scalable infrastructure built for supporting LLM and AI workloads.
Download this technical design guide for the specifics on Dell’s validated architecture, key hardware, and software components of the solution.
Dell PowerEdge server with AMD Instinct™ Accelerators
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AI is for everyone: Democratizing AI
By: Dell Technologies & AMD
Type: White Paper
AI is driving change across industries by boosting efficiency and enhancing decision-making. Yet, for many organizations, the path to realizing value from AI remains blocked by common misconceptions.
This white paper explores how Dell and AMD are democratizing AI by making it more accessible to enterprises. It highlights how their solutions can enable real-time AI workflows, ensure data security, and scale cost-effectively.
Read the full paper now to discover how you can harness the potential of AI to transform your business.
Dell PowerEdge Servers powered by AMD EPYC™ processors and with AMD Instinct™ Accelerators
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How do we get started using LLMs? This guide lights the way
By: DataBricks
Type: eBook
Generative AI is taking the world by storm. However, one of the first challenges organizations face in deploying large language models (LLMs) is how to make LLMs understand their proprietary enterprise data. Retrieval augmented generation (RAG) is the leading technique for enhancing LLMs with enterprise data. For example, to ensure chatbots that are powered by LLMs are responding with accurate, relevant responses, companies use RAG to give LLMs domain-specific knowledge drawn from user manuals or support documents.
This compact guide to RAG will explain how to build a generative AI application using LLMs that have been augmented with enterprise data.
By registering, I agree to the processing of my personal data by Databricks in accordance with their Privacy Policy. I can update my preferences at any time.
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