The Generative AI hype is over!
<p>Update: Corrected my original text to the correct cycle. Revenue and Sales instead of Emerging, since that’s what the image shows. Thank you for all comments. Also want to link to two other Gartner press release, showing the same for the Artificial Intelligence and the Emerging hype cycles.</p>
<p>https://www.gartner.com/en/newsroom/press-releases/2023-08-16-gartner-places-generative-ai-on-the-peak-of-inflated-expectations-on-the-2023-hype-cycle-for-emerging-technologies</p>
<p>https://www.gartner.com/en/articles/what-s-new-in-artificial-intelligence-from-the-2023-gartner-hype-cycle</p>
<p>Well, according to Gartners Hype Cycle for Revenue and Sales Technologies, Generative AI has reach the top, in 9 months instead of the predicted 2–5 years.<br />
The hype has been huge so problems and weaknesses of the current LLMs have been found quickly and I think many are disappointed.</p>
<p>What does that mean for us?<br />
Now we can start to see generative AI for what it is, not what the hype says. To me, it’s a very powerful tool that can’t be entirely trusted, and we need stable instrumentation and architecture around it to use it in our applications.<br />
Depending on the application other types of AI models are needed. Traditional, narrow, AI still have it’s value.</p>
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