Nvidia stock goes brrrr
Any task that can be expressed as mostly translation is a good task to try with an LLM.
And you know what? Stakeholders tend to love LLMs, so have fun with your complicated problems while I build them by using the ancient technique of slapping some boilerplate together and combining it with the new ways of pasting error messages into chatgippity.
I don’t think that was the point. The thing is, people replace calculators with that…
- User: Assistant?
- Assistant: * BEEP *
- User: What is 21 divided by three?
- Assistant: 52, my master.
Thing is, they only get some results right and hallucinate others. And you’re doing billions of matrix multiplications just to calculate 2+1.
Sure. You can go to a construction site with only your one favorite tool. And use it for everything. And it’s impressive to open a glass bottle of beer with a hammer and such. But I can guarantee you, you’ll be slower digging that hole than the guys using a proper tool like an excavator.
That’s not a translation problem, so LLMs are terrible for it.
Always use the right tool for the job. If there are a lot of nails to be hammered, you need a guy with a hammer.
Just chuck more data at it and hope for the best! It’s a pretty fun strategy even if it fails a lot
I’m convinced they’re just into machine learning because of the funny mistakes they make