Large Language Models (LLMs)
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Large Language Models (LLMs)
Language models can take a big chunk of text and smush it down like a foot crushing a can of Coke. Except it doesn’t come out crushed—it comes out as a perfectly packaged and proportional mini-Coke. And it’s even drinkable! This is a Willy Wonka-esque magic trick, without the Oompa Loompas.
Using LLM products today feels a lot like using early cars in the 1800s: clearly magical, clearly going to change the world, and really hard to drive.
The first cars didn’t have steering wheels (they hadn’t been invented yet), so you’d steer them with a big lever called a tiller. The problem with tillers is that they are imprecise, which made drivin... See more
The first cars didn’t have steering wheels (they hadn’t been invented yet), so you’d steer them with a big lever called a tiller. The problem with tillers is that they are imprecise, which made drivin... See more
People need to be more thoughtful building products on top of LLMs. The fact that they generate text is not the point.
Linus Leestream.thesephist.com"A key challenge of (LLMs) is that they do not come with a manual! They come with a “Twitter influencer manual” instead, where lots of people online loudly boast about the things they can do with a very low accuracy rate, which is really frustrating..."
Simon Willison, attempting to explain LLM
Darren LI and
How GPT-3 will turn all of your notes into an *actual* second brain:
Normcore LLM Reads
gist.github.com
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