The Generative AI hype is over!

<p>Update: Corrected my original text to the correct cycle. Revenue and Sales instead of Emerging,&nbsp;since&nbsp;that&rsquo;s&nbsp;what&nbsp;the&nbsp;image&nbsp;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&ndash;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&rsquo;s a very powerful tool that can&rsquo;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&rsquo;s value.</p> <p><a href="https://medium.com/@patrikdahlen/the-generative-ai-hype-is-over-56db33e6b689"><strong>Visit Now</strong></a></p>
Tags: AI hype