[dkarras]

transformers / attention is very robust against typos as they take the entire context into account just like we do. launch any free LLM and ask them questions with typos that you would notice and auto-correct and you'll see that the models just don't care and understand them. actually they are so resilient that they understand very garbled text without breaking a sweat.

[noneeeed]

I often use ChatGPT in learning spanish, I find it's great for explaining distinctions between words with similar meanings where a dictionary isn't always a lot of help.

I am constantly surprised by how well it copes with my typos, grammatical errors and generally poor spelling.

[BoorishBears]

There's honestly something uncanny about how well they do.

In the "early days" of GPT-4 I tried testing it as a way to get around poor transcription for an in-car voice assistant. It managed: "I'm how dew yew say... Freud?" => Turn up the temperature... which was nonsense most people would stare at for a long time before making any sense of.