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All the Hard Stuff Nobody Talks About When Building Products With LLMs
A vanishingly small slice of knowledge work has the shape of text-in-text-out (copywriting/Jasper). The real alpha is not in generating text, but in using this new capability and wrapping it into jobs that have other shapes. Text generation in the best LLM products will be an implementation detail, as much as backend APIs are for c
... See morethesephist.com • People need to be more thoughtful building products on top of LLMs. The fact that they generate text is not the point.
Over the past 2 and half years we’ve seen the rise of the LLM’s but one of the great contributers to LLM’s Yann LeCun believes that LLM’s are actually old news and that we’re now just making them marginally better and he’s much more focused on other things.
Firstly he thinks these models need to understand the physical world. Right now, LLMs are gr
On their own, large language models (LLMs) are, to a significant extent, Babel-like. Their latent space can output every possible combination of words. They are capable of creating genius-level sentences—and also false gibberish. And at this point in the lifecycle of this technology, the quality of the results you’re going to get is far higher when
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