AI marches on. There are two ways to employ AI. One is to pay to use someone’s proprietary model, such as OpenAI’s ChatGPT or Dalli. The other is to build your own generative AI tools using open-source models. But few companies are taking the latter route, given the scope and expense of the undertaking. And proprietary models offer fine tuning sufficient for many organizations in view of the cost/benefit ratio.
Of course, the largest organizations are looking at building their own custom tools. Indeed, in the next 12 months, according to a KPMG study, 43 percent of U.S. Companies with $1 billion or more in annual revenue expect to invest $100 million in generative AI.
But what is generative AI, anyway? And why is it “generative” rather than merely “AI”? In this issue, see the new primer on the subject for the basics.
Also in this issue, find a new eBook series: AI-Powered Construction Management. Part 1, Chapter 1 explores the use of generative AI in developing key project deliverables.
Also, find out whether leading experts and venture capitalists are bullish or bearish on the application of AI to the AEC industry, if the KPMG study results hasn’t tipped you off already.
Ponderable
“Generative models are a key enabler of machine creativity, allowing machines to go beyond what they’ve seen before and create something new.” – Ian Goodfellow
