By choosing Wildflower as your AI implementation partner, you’re not just adopting new technology – you’re collaborating with a partner that understands the unique challenges and security requirements of federal agencies. Our experience in Retrieval Augmented Generation (RAG) and Large Language Models, combined with NVIDIA’s state-of-the-art hardware and software, allows us to create AI systems that significantly improve proprietary data retrieval while maintaining the highest standards of data security and compliance. Contact us today.
The future of chatbots in federal agencies is poised for a transformative shift, one where humans will take on a supervisory role, directing teams of advanced language models to seamlessly synthesize and analyze information from various sources. Enterprises are expected to embrace this paradigm shift, deploying hundreds or even thousands of specialized chatbots across every job function, leveraging the unparalleled potential of these AI-powered assistants. And these chatbots will gain unprecedented access to proprietary information, enabling them to provide highly informed and contextually relevant insights, driving efficiency and productivity. Wildflower and NVIDIA help you understand more about the importance and the future of chatbots with this infographic.
As artificial intelligence continues to evolve, chatbots are becoming a critical tool for enterprises. These AI-powered systems are transforming how businesses operate, interact with customers, and manage internal processes. This article explores the following 5 pressing questions:
1. What is the Future of Chatbots for Federal?
2. What’s the Difference Between Chatbots, AI Agents, and Co-pilots?
3. What is Retrieval Augmented Generation (RAG)?
4. What Are some of the Challenges for Enterprise Leaders?
5. What is the Value of RAG for Enterprise?
Join Jacob Lieberman from NVIDIA’s Enterprise Project Management team, as he talks about one of the most exciting techniques and use cases that we’ve seen in the Generative AI space that is taking off across enterprises everywhere. AI chatbots that utilize Retrieval Augmented Generation to pull in enterprise data and provide incredibly powerful, accurate tools that can be used by business functions everywhere. Jacob explains how NVIDIA and his team are building Retrieval Augmented Generation workflows for their customers.
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.
The NVIDIA H100 is an integral part of the NVIDIA data center platform. Built for AI, HPC, and data analytics, the platform accelerates over 3,000 applications, and is available everywhere from data center to edge, delivering both dramatic performance gains and cost-saving opportunities.
Plua, NVIDIA H100 GPUs for mainstream servers come with a five-year software subscription, including enterprise support, to the NVIDIA AI Enterprise software suite, simplifying AI adoption with the highest performance.
Wildflower Intl. will help you unlock the full potential of your enterprise data with cutting-edge Retrieval Augmented Generation systems, powered by NVIDIA’s HGX H100 GPU and the NVIDIA AI Enterprise suite. 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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