Exploiting Undefined Behavior in C/C++ Programs for Optimization (2025) [pdf]
web.ist.utl.pt3 pointsby hugmynutus0 comments
Instruction: don't think about ${term}
Now `${term}` is in the LLMs context window. Then the attention system will amply the logits related to `${term}` based on how often `${term}` appeared in chat. This is just how text gets transformed into numbers for the LLM to process. Relational structure of transformers will similarly amplify tokens related to `${term}` single that is what training is about, you said `fruit`, so `apple`, `orange`, `pear`, etc. all become more likely to get spat out.
source: work at a photograph start, even training on raw images things get tinted, it is an uphill battle