Generative AI has become a game-changer for companies in many industries. By using natural language processing and machine learning, companies can create smart applications that improve user experiences and make operations more efficient. Today, we highlight an impressive generative AI demo from Cyrill Hug at Hewlett Packard Enterprise, showing how companies can build secure, high-performing, and long-lasting AI applications entirely within their systems.

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Chatting with Your Car's Manual

Imagine being able to ask your car any question and getting an instant, correct answer straight from the vehicle's manual. Cyrill's innovative application makes this possible, using generative AI to create a smooth, conversation-like interface for finding important information about your vehicle.

Behind the scenes, the application uses retrieval augmented generation, RAG, which employs a vector database to find relevant parts from the car manual based on the user's question. By giving the language model precise context, the system ensures accurate and helpful responses to many different questions, from changing climate control settings to understanding warning lights on the dashboard.

Using Open-Source Models Inside Company Systems

A key part of Cyrill's demo is running the application entirely within the company's systems. This addresses important concerns for companies about data privacy, security, and control. By hosting the application fully behind the company's firewall, sensitive user data stays protected, and the system can work independently without relying on outside APIs that may change or become unavailable.

The demo uses powerful open-source language models, such as LLaMa for natural language understanding and SBERT for efficient text embeddings. These models are hosted inside the company's systems using our Titan Takeoff, ensuring high performance and the ability to handle more data while keeping data secure.

The Future of AI for Companies

Cyrill's demo offers an exciting vision for the future of AI in companies, showing how organizations can use the power of generative AI while maintaining the highest standards of security, performance, and flexibility. By building applications within their systems using open-source models and strong MLOps practices, companies can create transformative experiences for their users while keeping full control over their data and technology setup.

Why use Titan Takeoff instead of a Hosted AI API?

In this demonstration, Cyrill utilized publicly accessible data, but you have the flexibility to enhance and enrich data with any enterprise source: be it documents, CRM records, call logs, emails... essentially any scenario where data privacy is critical. With Titan Takeoff Inference Stack, you can seamlessly operate the entire RAG architecture—the embedding model, LLM, and vector database—within your own secure environment.

By consolidating compute processes nearer to the data's location, Titan Takeoff Inference Stack addresses the concerns surrounding privacy and compliance associated with data transfer and storage. This proximity not only bolsters security measures but also enhances the responsiveness of AI applications. Enterprises can conduct data-intensive tasks such as analytics and machine learning without the latency often encountered in cloud-based data processing.

Titan Takeoff Inference Stack transcends the realm of just being another tool; it stands as a strategic asset for any data-centric enterprise seeking to harness the potential of generative AI while safeguarding data integrity within their enviornment. This approach not only adheres to privacy regulations but embraces them as integral features, transforming potential constraints into business-driving advantages. As we continue to drive the Titan Takeoff Inference Stack, our commitment remains clear: to empower our clients to build transformative Generative AI applications while taking for granted secure and scalable infrastructure,

You can schedule a personalized demonstration of Titan Takeoff Inference Stack with our Engineering Team to delve deeper into its capabilities, we are one e-mail away at hello@titanml.co and ready to assist you in getting started.