教育科技 AI 成本降低：用微调学科模型替换 OpenAI API 调用
在辅导、反馈和评估上花费 $2,000-15,000/月 OpenAI API 的教育科技平台可以用 $20-40/月基础设施的微调本地模型替换大部分支出。
拥有 20,000 名活跃学习者进行 AI 辅导会话的教育科技平台每月产生 200,000-600,000 次 API 调用。以 GPT-4o 定价，这是 $2,000-9,000/月，并随用户线性增长。
微调模型在本地运行以 $30-60/月的 VPS 成本处理相同的辅导量。初始投资在 1-3 个月内收回。
成本降低计算
| 用例 | API 成本（GPT-4o） | 本地模型成本 | 降低 |
|---|---|---|---|
| 辅导聊天（每 1K 条消息） | $5-12 | $0.02 | 97%+ |
| 书面反馈（每 1K 次提交） | $20-80 | $0.10 | 99%+ |
| 测验生成（每 1K 个测验） | $10-40 | $0.05 | 99%+ |
什么需要微调 vs 提示
微调用于： 学科特定辅导、基于评分标准的自动反馈、自适应内容生成、课程特定问答。
通用模型的提示可能足够： 通用写作反馈、日程和管理问题。
准确率现实检查
课程内问题（90% 的量）：88-94% 准确率。边缘案例（10%）：70-80%，路由到 GPT-4 回退。
关键洞察：你的学生在问关于你课程的问题。针对你课程校准的模型在恰好是你学生提出的问题上比通用模型表现更好。
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Ship AI that runs on your users' devices.
Early bird pricing starts at $14.50/mo — locked in for life. Plans for builders and agencies.
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