https://aiworldjournal.com/ai-large-language-models-vs-small-language-models-who-wins-the-future/ LLMs vs. SLMs: Who Wins the AI Future? The provided text, primarily an article from "AI World Journal" by Sydney Armani, compares and contrasts Large Language Models (LLMs) and Small Language Models (SLMs) within the evolving landscape of artificial intelligence. It highlights how LLMs, like GPT-4 and Gemini, excel in general reasoning and complex tasks but come with high computational and energy costs. Conversely, the article argues that SLMs, while smaller in parameters, are gaining prominence for their efficiency, speed, and suitability for specific tasks and local deployment, addressing concerns around privacy and sustainability. The author posits a hybrid future where both LLMs and SLMs play crucial, complementary roles, with LLMs powering cloud-based general intelligence and SLMs providing secure, personalized intelligence on edge devices. The text also includes various examples of prominent LLMs and SLMs, categorizing them by their development and typical applications.

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