AI Is Breaking Free Of Token-Based LLMs By Upping The Ante To Large Concept Models That Devour Sentences And Adore Concepts [Forbes]
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Source: Forbes
In today's column, I explore an intriguing new advancement for generative AI and large language models (LLMs) consisting of moving beyond contemporary words-based approaches to sentence-oriented approaches. The extraordinary deal is this. You might be vaguely aware that most LLMs currently focus on words and accordingly generate responses on a word-at-a-time basis. Suppose that instead of looking at the world via individual words, we could use sentences as a core element. Whole sentences come into AI, and complete sentences are generated out of AI. To do this, the twist is that sentences are reducible to underlying concepts, and those computationally ferreted-out concepts become the esteemed coinage of the realm for this groundbreaking architectural upheaval of conventional generative AI and LLMs. The new angle radically becomes that we then design, build, and field so-called large concept models (LCMs) in lieu of old-fashioned large language models. Let's talk about it. This
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