▲ 381 r/askscience
How do traditional (pre-LLM) machine translation systems work?
Recently I've been researching machine translation software for a project and came by this repository: https://github.com/SakiRinn/LiveCaptions-Translator
It has a list of translation services and strongly recommends using LLM-based ones, but also lists a number of "traditional" ones, like Google Translate, DeepL or LibreTranslate.
I intuitively understand how an LLM operates on high level - it's fed the existing text as tokens and it predicts the most likely next token (or set of tokens with varying probabilities). All the learning is within its deep neural model.
However I have no idea how does a "traditional" machine translation system work? Is it analogous in some way - neural net predicting tokens/output based on input, just trained purely on translating language?
Or is it something very different? Are are multiple techniques?
u/Frooxius — 1 month ago
▲ 144 r/askscience
Jupiter is one of my favorite planets (its immense size is fascinating to me), but all the images we have of it are from relatively far away.
I know that as gas giant, Jupiter doesn't have a "surface", but I've been very curious what would it look like up close - if you were floating within its atmosphere and see fine details.
To my knowledge we don't have actual photos this up close from any probes. I've seen a number of fictional visualizations, but I don't know how accurate those actually are.
Would it look similar to Earth clouds? Are there any scientifically accurate visualizations of what it would look like?
u/Frooxius — 2 months ago