The current approach to utilizing large language models in software development often lacks transparency regarding cost and resource requirements. A new system proposes an "intelligence ladder" to categorize tasks based on complexity, assigning specific model needs and costs upfront—a departure from the typical fuzzy estimates provided today. This framework aims to improve predictability, reduce wasted resources, and potentially democratize access to AI-powered tools by clarifying hardware demands and minimizing reliance on expensive, high-end models for routine operations.
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