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I found this subject interesting when I stumbled on it the other day.
The same amount of information does not necessarily generate/consume the same number of tokens in every language.
English is represented relatively efficiently by many commonly used tokenizers, but other languages can be chopped up into many more ...
This is a follow-on from the previous post about AI tokens and how to think about their consumption.
Here are some ways to manage consumption that don't harm outcomes:
1. Start a new session for a genuinely new taskDon't let the model be dragged down with the burden of previous conversations, pulling excess context into the next question.
Only carry for...
Leadership are increasingly interested in what useful productivity is being produced by the AI tokens billed with ROI questions. Meanwhile some users are burning tokens on hyper expensive models, still token maxing, whilst others are shy to consume any scared of the budget impacts as token prices rise, yet possibly having a negative impact on the company by not applying the i...