
New research and a legal context engineering benchmark reveal that providing AI models with context about the work they are asked to do not only increases model accuracy but can also decrease token cost through substantially better efficiency.

New research and a legal context engineering benchmark reveal that providing AI models with context about the work they are asked to do not only increases model accuracy but can also decrease token cost through substantially better efficiency.
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