A well-written instruction is buried behind an entire policy binder pasted into the prompt, and the model never sees the last chapter. What went wrong?
Select an answer to reveal the explanation.
Short Explanation
The instruction is sitting behind a whole policy binder, so the last chapter never makes the token budget. That is context-window overflow. Trim, chunk, or retrieve so the useful text fits. A dropped chapter is not a temperature setting, a learning-rate bump, or a cooling fault.
Full Explanation
If a long paste overflows the token budget, later text is dropped. Iterative prompting includes trimming, chunking, or retrieving so the useful instruction fits. Temperature, learning rate, and cooling are not that diagnosis.