Interested in Generative AI with your own data but unclear where to start? This infographic gives a clear overview of Retrieval-Augmented Generation (RAG) models, offering practical steps to securely deploy AI solutions tailored to your organization’s data. See how on-premises AI can enhance security, improve efficiency, and deliver real-time insights. Start your Generative AI journey with Retrieval-Augmented Generation using this resource, perfect for anyone seeking to explore the potential of RAG.
In this article, you’ll gain insights from industry experts about Retrieval-Augmented Generation (RAG)—a groundbreaking approach to improving AI’s ability to generate accurate, contextually relevant, and reliable information. By combining the strengths of large language models (LLMs) with external databases, RAG offers a transformative way to address challenges like hallucination, knowledge limitations, and scalability in AI systems.
With a focus on real-world implications, the article highlights:
Gain a comprehensive overview of RAG and a deeper understanding of its significance and potential to revolutionize AI-driven systems.
Discover how the rise of generative AI is revolutionizing federal agencies in this episode of A Wild Idea. Join Andrew Balzarini and industry experts Ron Fontanilla and Ed Berusch from Dell Technologies as they delve into the transformative potential of AI-powered chatbots, co-pilots, and intelligent agents enhanced by Retrieval-Augmented Generation (RAG).
In this webinar, you’ll explore:
Whether you’re an IT leader, data officer, or emerging technologies strategist, this conversation offers actionable insights to stay ahead in a rapidly evolving tech landscape. Watch now to uncover how enterprises are unlocking real value with AI.
RAG works by integrating a retrieval step into the process of generating text with an AI model. It allows AI systems to access up-to-date and specific information that may not have been part of their original training data. This results in more accurate, relevant, and current responses. RAG also helps mitigate the problem of AI “hallucinations” or making up false information, as the model’s outputs are grounded in retrieved facts.
RAG is particularly useful in federal environments where access to specific, proprietary, or frequently updated information is crucial.
Contact us to learn more from our team of Subject Matter Experts.
The solution consists of a cloud-like model with Dell Technologies providing the infrastructure of PowerEdge with NVIDIA GPUs, running Ubuntu Server. Kubernetes simplifies management and connects to PowerScale using the Container Storage Interface driver to provide persistent LLM and RAG volumes. NVIDIA Cloud Stack and NVIDIA AI Enterprise simplify model management and deployment at scale.
The Dell PowerEdge R760 provides performance and versatility as needed to address your most demanding applications
The new Dell PowerEdge R760 is a 2U, two-socket rack server. Gain the performance you need with this full-featured enterprise server, designed to optimize even the most demanding workloads like Artificial Intelligence and Machine Learning.
Wildflower Intl. will help you unlock the full potential of your enterprise data with cutting-edge Retrieval Augmented Generation systems, powered by Dell and NVIDIA. Revolutionize your information access, boost efficiency, and drive innovation across your entire agency. Contact Wildflower today and speak to our team of Federal experts.
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