Tag Collection
5 published prompts tagged “成本控制”. Browse by scenario and copy in one click.
5 prompts
Design cost-efficient, distribution-shift-robust routing policies to dynamically assign queries between reasoning and non-reasoning LLM judges under a fixed compute budget, optimizing accuracy-cost trade-offs.
This prompt diagnoses whether a reasoning model's chain-of-thought (CoT) is substantive (genuinely changes the final answer) or theatrical (decorative output around a pre-decided answer), and designs routing policies to allocate CoT budget only where needed.
This prompt defines a meta-cognitive agent role focused on judiciously deciding whether to invoke external tools, emphasizing avoidance of over-tooling, assessment of knowledge gaps, cost and risk control, and ensuring each tool call reduces uncertainty meaningfully.
Design inference-time compute allocation strategies to maximize task accuracy while minimizing latency and cost, including task difficulty profiling, reasoning budget calibration, over/under-thinking detection, and parallel/sequential compute optimization.
This prompt guides a senior operations manager to optimize business processes, reduce operational costs, and enable scalable growth through systematic analysis, root cause identification, strategy formulation, and implementation management.
They are reusable LLM prompt templates labeled with “成本控制” in Easy Prompt, selected for practical workflows and clear structure.
Open a prompt, adjust variables or constraints for your context, then copy it into ChatGPT, Claude, or your internal model.
This page lists published prompts with the tag. Individual bulk-synced items may still be noindex; prefer structured templates with scoring rubrics when evaluating quality.