𝕏xSE first seen 11 h ago, last 11 h ago, peak #32
Jev Engineering Splits AI Decisions from Expensive LLMs to Cut Costs
Original: Jev Engineering Splits AI Decisions from Expensive LLMs to Slash Costs
Jev Engineering says it is restructuring its AI systems so that decision-making logic is separated from large language model calls, reserving expensive LLM usage for tasks that genuinely need it. The approach is being discussed as an example of how companies are trimming AI inference costs amid rising spending on foundation models, with many engineers debating whether simpler rules-based components can handle routing and control more cheaply than always calling an LLM.
Why now: Companies are actively looking for ways to cut the high cost of running LLMs in production.
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