How we integrate AI and LLMs to make product data more accessible
Summary
Our goal is to make our products even more user-friendly, so we introduced Large Language Models (LLMs) into our platform. With SPREAD GPT, users can create database queries in the information model based on natural language. Moving forward, we aim to adjust visual representations in response to user queries, further aligning with our mission to make product data accessible and actionable for everyone.
Watch our Senior Product Owner, Daniel Wilms, explain what happens when you combine Knowledge Graphs and LLMs and discover what you can do with SPREAD GPT.
Experts
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Daniel Wilms is a Product Manager at SPREAD. Before joining the company, he worked for over 10 years for the automotive giant BMW, where he occupied several roles, such as Research Engineer and Technical Lead. At SPREAD, he is responsible for building software architecture for the customers and for the development of the platform.
