Unverified50% confidenceSolutionExact time
Agent Tuning研发流程为：用GPT-4调通流程、构建训练数据、微调小模型、替换GPT-4完成闭环，即知识蒸馏路径
1
Sources
50%
Confidence
Long-term
Relevance
7/12/2026
First Seen
Sources
Related Claims
UnverifiedGPT-5.3首次采用了模型自身生成的AI代码来反向输送给模型进行训练与部署的自训练机制78% similarUnverifiedMany open-source models use high-quality outputs generated by commercial models such as GPT-4 and Claude as training data, which is the knowledge distillation training paradigm.78% similarPartially VerifiedWith the emergence of models with strong reasoning capabilities like GPT-4, Agents have evolved from academic concepts into deployable engineering practices.77% similarUnverifiedLarge models (such as GPT-4) can be used to automatically generate synthetic training data from domain documents, reducing annotation costs.76% similarUnverifiedGPT-5.6 Work模式是AI Agent能力的产品化落地，AI能够调用外部工具、执行多步骤操作并自我纠错76% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/489727API
curl https://kongchang.com/api/v1/knowledge/claims/489727MCP
get_claim(id=489727)