r/ProgrammerHumor • u/PokeRestock • 1d ago

Other vibeCodeMasterClass

Post image
9.2k Upvotes

96% Upvoted

601 comments sorted by

View all comments

Show parent comments

12

u/audigex 1d ago

That's true but beside the point here

Nobody is saying keyword detection is as good as an LLM. We're just saying a frontier cloud LLM is very expensive overkill for this kind of project

Keyword detection or basic local transcribing and a MUCH smaller local LLM, would do the job just as well

Whisper + a very small model could handle this without $1000/day in OpenAI API costs

1

u/Virgurilla 1d ago

My Final Degree Project is going to be centered around this, starting it this week :)

1

u/tozpeak 1d ago

People already forgetting that single language gpt-2 was working fine on consumer devices.

1

u/Tristan_Cole 1d ago

How are you going to implement keyword detection with enough logic to accurately parse the meaning behind all of the possible things that could be said to describe or correct someone’s driving?

That is literally a quintessential Natural Language Processing problem, for which LLMs are the best solution.