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> without any ability to "imagine" things. What's imagining, then? The way LLMs explore different predictive branches in order to find an optimal solution does
by randomdata 2y ago
> without any ability to "imagine" things.
What's imagining, then? The way LLMs explore different predictive branches in order to find an optimal solution doesn't seem all that different than what I consider imagining: Thinking about what could be and considering different variations on that idea.
An LLM isn't a brain, so there is no implication of it being said in the truest human sense, but it seems like a decent analogy to me.
- merlincorey 2y agoAs I mentioned elsewhere, all the modern models are multimodal models so I think it would be fair to say rendering the SVG and then having the dedicated image model classify it is similar to "imagining", but it is definitely not strictly part of a Large Language Model which only predicts the next token based on previous tokens.