从OpenAI API迁移到微调本地模型：90天手册
将最高量AI工作负载从云API迁移到自有微调模型的90天具体计划——包含评估框架、训练指南和并行切换策略。
这不是理论指南，而是90天运营计划，用于将真实AI工作负载从云API迁移到你拥有和本地运行的微调模型。
第1-30天：构建评估基础
- 构建200-500个高质量输入/输出对的训练数据集
- 构建50-100个保留示 例的评估集
- 在评估集上建立API基线指标
- 定义验收标准（通常±5%的API基线）
第31-60天：微调和验证
- 选择基础模型（Llama 3.1 8B、Qwen 2.5 7B等）
- 在Ertas Studio上微调
- 对比API基线评估
- 不达标则迭代：扩展数据、调整LoRA秩、尝试更大模型
第61-90天：并行部署和切换
- 第9周：部署模型，路由10%流量
- 第10周：25%流量
- 第11周：50%流量
- 第12周：100%流量，保留API作为后备30天
第90天你拥有什么
- 锁定的模型版本
- 确定性行为
- 零每查询成本
- 完全可移植性
- 治理完整性
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