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On the topic of translation/ language learning, I still find Google Translate better for when I need to type emails in Russian (my older family who only speak i
by georgel 2mo ago
On the topic of translation/ language learning, I still find Google Translate better for when I need to type emails in Russian (my older family who only speak it) as far as grammar is concerned than what LLMs spit out.
- sznio 1mo agoThe transformer was invented as a machine-translation algorithm, later adapted to create LLMs. I think it's a reasonable hypothesis that a ML system designed for translation will always beat an LLM role-playing a translation system (assuming equal computing power and engineer effort). We're going to see is a lot of stuff people use LLMs for moving back to using bespoke algorithms solving the one specific issue. LLMs are just machine learning unlocked for the masses, where you can ask it "translate this for me", "what's the sentiment of this text", and it just does it. Any of these were already achievable before LLMs, they just needed a machine learning engineer to implement. I myself started an LLM driven project to classify and sort all the photos I've got. I just ask an LLM to poop out tags for an image. Using a proper algorithm for this is possible, but I'd need to put in some effort to actually get it set up. LLMs do make it easier since they can directly, instructively help you that set up, and provide an easy stream of training data to distill out a model perfectly fit to your usecase. I think majority of work currently going through LLMs is such inefficient tasks that can be solved quicker and better with a limited algorithm. You don't need a chatbot.
- sfdfsdfsd 1mo agoI'd be surprised if Google Translate isn't powered by a specialized, Transformer-powered model we would now recognize as a "small" language model heavily constrained to a specific task.
- fragmede 1mo agothat already happened in like 2016