The “current hotness” for spellcheck would be to use a large language model (LLM) like GPT-3 that can use several paragraphs of context to disambiguate between

The “current hotness” for spellcheck would be to use a large language model (LLM) like GPT-3 that can use several paragraphs of context to disambiguate between alternatives. However usefully accurate LLMs are still too big to work locally in a laptop or PC, so once again we’re back to having to liberally apply black magic to squeeze the models into something an integrated GPU can run in its “tiny” VRAM that’s actually gigabytes in size. The more things change, the more they stay the same. PS: Spell check is a trivially solved problem for most languages, but not all! Hungarian is notoriously difficult, and there are ongoing projects to improve this: https://en.m.wikipedia.org/wiki/Hunspell https://en.m.wikipedia.org/wiki/Hunspell