The Rise of LLMs — But Embeddings Do the Hard Work

Large language models (LLMs) such as GPT, LLaMA and Claude have captured headlines and imaginations alike. Unlike the opaque processes inside LLMs, embeddings can be visualised. Looking AheadAs attention remains fixed on the drama of larger, more capable LLMs, embeddings will continue to do their quiet work in the background. It is tempting to see LLMs as the stars of the show, but in reality they stand on the shoulders of embeddings. The rise of LLMs is real, but embeddings are the reason they can rise at all.