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<p><a href="https://www.computerworld.com/article/3697649/what-are-large-language-models-and-how-are-they-used-in-generative-ai.html">Large language models</a> (LLMs) often appear to be in a fight to claim the title of largest and most powerful, but many organizations eyeing there use are beginning to realize big isn’t always better.</p><p>The adoption of <a href="https://www.infoworld.com/article/3689973/what-is-generative-ai-the-evolution-of-artificial-intelligence.html">generative artificial intelligence</a> (AI) tools is on a steep incline. Organizations plan to invest 10% to 15% more on AI initiatives over the next year and a half compared to calendar year 2022, according to an IDC survey of more than 2,000 IT and line-of-business decision makers.</p><p class="jumpTag"><a href="/article/3706510/ai-language-models-need-to-shrink-heres-why-smaller-may-be-better.html#jump">To read this article in full, please click here</a></p></section></article>

The adoption of generative artificial intelligence (AI) tools is on a steep incline. Organizations plan to invest 10% to 15% more on AI initiatives over the next year and a half compared to calendar year 2022, according to an IDC survey of more than 2,000 IT and line-of-business decision makers.

AI language models need to shrink; here’s why smaller may be better