Devs are aware. This was a quick n dirty prototype and they alright knew the issue with using chatgpt. They did it to make something work asap. In an interview (Danish) the devs recognized this and is moving toward using a LLM developed in French (I forget the name but irrelevant to the point that they will drop chatgpt).
Plus I don’t want some random ass server to crunch through couple hundred watt hours if scanning the barcode and running that against a database would not just suffice but also be more accurate.
Devs are aware. This was a quick n dirty prototype and they alright knew the issue with using chatgpt. They did it to make something work asap. In an interview (Danish) the devs recognized this and is moving toward using a LLM developed in French (I forget the name but irrelevant to the point that they will drop chatgpt).
If that’s their solution, then they have absolutely no understanding of the systems they’re using.
ChatGPT isn’t prone to hallucination because it’s ChatGPT, it’s prone because it’s an LLM. That’s a fundamental problem common to all LLMs
Plus I don’t want some random ass server to crunch through couple hundred watt hours if scanning the barcode and running that against a database would not just suffice but also be more accurate.
More accurate, efficient, environmentally friendly. Why are we trying to solve all of this with LLMs?