LLMs
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LLMs
LLMs are mid. It does a good job at getting the average and this is useful in many areas where this is tough. When you want "good", LLMs let you down. We underestimate the impact doing things to a "mid" level will have on the world.
#ai #llms #transformers #stanford #genai | Eduardo Ordax | 89 comments
linkedin.com
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... 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... See more
People are intrigued by LLMs’ ability to generate new text, change styles, and generally chat. While impressive, turning text written in one style into text written in your own voice (or into legaleze) is essentially taking unstructured data and turning it into more unstructured data. I’m surprised about the lack of attention to doing the exact... See more
Matt Hartman • The power of AI is its ability to turn unstructured data into structured data
"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
Normcore LLM Reads
gist.github.com
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