You’ve been hearing a lot about A.I. models, and chances are good you’ve experimented with a few yourself. But which models are people using to actually get A.I.-related work done?
According to O’Reilly Media’s new Generative A.I. in the Enterprise report, which is based on a global survey of more than 2,800 technology professionals, the GPT models (2, 3.5, 4, and 4V) produced by OpenAI are the most popular, followed by customized and open-source models. Meanwhile, Meta’s LLaMA (and Llama 2) and Google’s Bard are struggling to catch up in market share. Take a look at the chart:
“It’s a bigger surprise that 21 percent of respondents are developing their own model; that task requires substantial resources in staff and infrastructure,” the report added. “It will be worth watching how this evolves: will companies continue to develop their own models, or will they use A.I. services that allow a foundation model (like GPT-4) to be customized?”
(It’ll also be interesting to see if all the recent chaos around OpenAI’s management structure will impact the company’s ability to roll out new GPT models, especially if a percentage of employees leave for other companies pursuing A.I. initiatives.)
Around 67 percent of the report’s respondents said their companies were currently using generative A.I. in some fashion. However, a variety of issues have slowed adoption, including the need to identify appropriate use cases, plus concerns over risk and compliance. A recent report by the newly launched Upwork Research Institute found that 62 percent of leaders were using generative A.I. for research, while others were using it for coding and other functions.
If you’re debating whether to commit the time and resources to learn more about A.I., consider this: A new study by Amazon Web Services (AWS) and Access Partnership found that employers “are willing to pay an average of 47 percent more for IT workers with A.I. skills.” Knowing how models work (and even how to build your own) can result in a significant salary increase—and open up new opportunities on the job market.