ChatGPT Brings AI Expertise to the Masses

By now, most people have dabbled with ChatGPT, the breakaway generative AI technology that is now taking the consumer and business worlds by storm.

ChatGPT is an open source natural language processing tool powered by AI that answers questions and helps users perform basic tasks through human-like conversation. Considered a form of generative AI, ChatGPT was tagged by the UBS investment bank as the “fastest growing consumer application in history,” logging 100 million active monthly users only two months after its launch in late 2022.

While it’s still early days, analysts and industry watchers predict ChatGPT and other generative AI technologies are already leaving their mark on industries of all types. Now, Authentise, a player in data-driven engineering and manufacturing workflow tools, is ushering in ChatGPT to the additive manufacturing world with its new 3DGPT, an experimental program that lets users interrogate the world’s largest collection of AM knowledge using every-day language.

Given the complexities surrounding AM, engineering organizations stand to benefit from the ability to easily tap into a proven knowledge base of journals and standards to get guidance on 3D printing applications. With the new tool, users can ask questions from the general—for instance, what AM technologies are capable of printing in concrete—to the more specific, such as how can I reduce defects when working with Stainless Steel materials using powder bed fusion AM technologies?

3DGPT will return answers to questions drawing on knowledge contained in popular AM journal articles and standards documents as well as tapping into the general knowledge on which Open AI’s ChatGPT foundation technology is built. The 3DGPT tools also provides refernces to the more technical answers so users can scrutinize the software’s answers given the technology is still a work in progress.

Authentise CEO Andre Wegner said the company was happy to step up and be the first to teach large language models decades worth of AM knowledge. “It’s a pleasure to make [industry know-how] more accessible, but it’s clearly just the start,” he said. “There are many ways we think this tool might be useful inside our product portfolio—whether it’s to help create reliable and efficient workflows or make RFQs with many standards references more penetrable.” Wegner also said the 3DGPT offering was experimental, designed to help understand generative AI’s limits and opportunities.

Engineers can take 3DGPT for a free test drive here. To learn more about the endeavor, check out this video.