121–130 of 137 posts
Earlier quoted context omitted.
> got a surprisingly good result > the output wasn't even recognizably Danish How would you know that it's good then?
I believe you misread. My reading is that Gemini 3 gave a good result on a certain input, so they gave the same input to this model and the result was poor.
This might be a good place to check the options available for OCR in-place translations. I took a look at OCR3, but it doesn't seem to support my use-case. It looks more tailored towards data extraction for further processing. I've got some foreign artbooks that I would like to get translated. The translations would need to be in place since the placement of the text relative to the pictures around it is fairly impor…
I’m fairly confident this is solvable quite well with “just two api calls”. Are examples of those books available online?
I appreciate having an OCR interface rather than having to chat with a bot, but unfortunately chatting with Gemini 3 gives far better results than this. I gave it the document Gemini 3 got a surprisingly good result on: https://urn.digitalarkivet.no/URN:NBN:no-a1450-rk10101508282... and the output wasn't even recognizably Danish. Just out of pity I gave it a birthday card from my sister written in very readable moder…
- Parts of the table of contents were headings
- I didn't like how tables were links to separate markdown files.
In theory, I could recombine everything into one document, but that would require complicated Markdown parsing and manipulation and I wasn't even sure how to go about that given how free-form the resulting text was. I also haven't gone through the entire document (it's 784 pages) to check to make sure it's correct compared to what pdftotext or acrobat could create, so there's that too.
My current holy grail is my attempt to convert a Shipibo (an indigenous Peruvian language)-to-Spanish dictionary into a Shipibo-to-English dictionary. The pdf I have (available freely on archive.org) isn't a great scan (though I think it'd be a heck of a lot easier than some of the handwritten examples they show). Layout (2-columns) along with header/footers can cause some headaches, but it is all Latin script. This…
Earlier quoted context omitted.
> got a surprisingly good result > the output wasn't even recognizably Danish How would you know that it's good then?
I believe you misread. My reading is that Gemini 3 gave a good result on a certain input, so they gave the same input to this model and the result was poor.
Earlier quoted context omitted.
They can't hire the best talent because the most experienced people will not leave their homes to chase a high-risk role with questionable remuneration by relocating their whole life to Paris or London. This goes to show how leaders in Mistral don't quite get that they are not special as they seem to think they are. Anthropic or OpenAI also require their talent to relocate but with stakes that are at least a high rew…
If somebody is in the EU already that calculation completely flips. We have a strong software startup industry in the US, would it really be that surprising if there was more unallocated talent in the EU, at this point?
Would you find it compelling to move your whole life for ~100k EUR when you can make as much or more at your home city, with a job that is almost certainly more stable?
And I meant the Europeans. People in EU don't have a culture of moving between cities or countries unless they really have a strong reason to, e.g. can't find a job at home.
> would it really be that surprising if there was more unallocated talent in the EU, at this point?
I am pretty sure there is. It has changed over the course of last few years, primarily because of COVID, and companies willing to offer remote contracts, but it's far from being able to utilize the talent.
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Following the leaders too closely seems like a bad move, at least until a profitable business model for an AI model training company is discovered. Mistral’s models are pretty good, right? I mean they don’t have all the scaffolding around them that something like chatGPT does, but building all that scaffolding could be wasted effort until a profitable business model is shown. Until then, they seem to be able to keep…
They can't hire the best talent because the most experienced people will not leave their homes to chase a high-risk role with questionable remuneration by relocating their whole life to Paris or London. This goes to show how leaders in Mistral don't quite get that they are not special as they seem to think they are. Anthropic or OpenAI also require their talent to relocate but with stakes that are at least a high rew…
The best talents have been regularly leaving Paris and London, India and China for decades. With the US closing its borders, they definitely have a chance to lure some.