JBETG3 has been using a language transformer from 2017. The context is about 2048 symbols, tokens in the language. These symbols are not characters but they project them into a vector space where words that are statistically co-occurring a lot are neighbors already. So what to make the statistics over? And the context is significantly larger than the adjacent word. Yes.

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