Expired80% confidenceFactTime unknown
The model used is Zhipu (rated by the author as performing relatively well domestically), with concurrency control implemented to address its rate-limiting issues.
1
Sources
80%
Confidence
Medium-term (~90 days)
Relevance
5/31/2026
First Seen
Valid until: 8/29/2026(expired)
Sources
3小时零代码，用AI Agent自动开发微信小程序实战
bilibili架构师刘7
Related Entities
Related Claims
Unverified作者认为决定最终优化效果的主要是提示词和使用的大模型型号，提示词越具体Agent执行越到位70% similarUnverifiedThe author believes that as model capabilities increase, the tools and prompts previously used to regulate model behavior are gradually becoming a burden, and that the stronger the model, the more constraints should be reduced.69% similarUnverifiedGiven sufficient data and available compute, building a sufficiently large over-parameterized model combined with an appropriate regularization strategy often yields better results than a medium-sized model.68% similarUnverifiedResearchers have attempted to improve models' pragmatic understanding through instruction tuning and reinforcement learning from human feedback (RLHF), but in essence this amounts to layering heuristic rules on top of statistical models.68% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/15520API
curl https://kongchang.com/api/v1/knowledge/claims/15520MCP
get_claim(id=15520)