Chat templates are why models say 'as an AI'
A new paper shows the system prompt is not what makes models say 'as a language model'. It is the chat template wrapper that turns raw output into self-aware hedging.
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From the notebook
prompt-engineering.
4 notes on this topic.
Monospace fonts for LLM tokens, not characters
Someone built a tool that generates fonts where every tokenizer chunk takes the same visual width. Suddenly prompt length is readable.
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The JEV prompting pattern works on models that never heard of it
A Reddit user discovered that giving a model explicit instructions to behave like JEV (a fictional expert persona) produces cleaner outputs, even when the model has no training data about JEV.
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ThoughtDAG lets you edit LLM conversation history as a graph
A new interface shows chat threads as directed acyclic graphs where you can rewrite nodes and re-run paths. Fixes the branching problem most chat UIs ignore.
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