61–70 of 127 posts
Earlier quoted context omitted.
Google Translate use recent neural net tech, and does hallucinate translations, since years ago. Translating from french to english, sometimes it miss the translations by a lot just because an accent is missing. Stop dissing technology based on your belief. https://en.wikipedia.org/wiki/Google_Neural_Machine_Translat...
I’m curious do you have a reproducible example of this?
Earlier quoted context omitted.
I think it was around 2018 when Google Translate translated Chinese 万 (ten thousand) to “million” for me, making the stats I was looking at completely nonsensical. I was shocked it managed be so wrong about something so basic. I wouldn’t call it trustworthy.
This is why for things that matter, human translators will always have a job.
Earlier quoted context omitted.
Isn't OpenAI still operating at a loss? You can't infer much from an API bring cheaper if it's being subsidised.
GPT4 on the web is at a loss, $20/mo doesn't cover it unless someone's a rare user. GPT4 through API is not at a loss, and I doubt GPT3.5 is at a loss either.
Earlier quoted context omitted.
Isn't OpenAI still operating at a loss? You can't infer much from an API bring cheaper if it's being subsidised.
GPT4 on the web is at a loss, $20/mo doesn't cover it unless someone's a rare user. GPT4 through API is not at a loss, and I doubt GPT3.5 is at a loss either.
I still find it amazing how LLM translation capabilities are an almost accidental feature. Yet they still managed to leapfrog decades of research and billions of investment dollars in traditional machine translation.
ChatGPT 3 was already far beyond google translate in my attempts, mostly using it between English, Danish and Swedish. Even being able to ask it to translate song lyrics while retaining rhyming structure was sometimes not too bad :)
I do agree GPT-3 probably did perform better than Google Translate though.
Earlier quoted context omitted.
>People trust Google Translate to not go off-topic or "hallucinate" Then "people" have no idea what they're doing. Google Translate and Deepl "hallucinate" way more than the likes of GPT-4 and Claude 3 for Translation.
Maybe some ppl do know what they are doing? You sound unhinged
"I'll use Google because GPT hallucinates" is a hilarious thing to say when Google still regularly devolves to half gibberish on distant language pairs.
Earlier quoted context omitted.
Translation is the reason transformer models exist. Every other use case is basically an accidental feature
The original Transformer, indeed for translation, was an encoder-decoder architecture. Most current LLMs, like Claude 3, are "decoder only". So in a sense the decoder-only translation is kinda accidental feature too.