Unverified50% confidenceSolutionExact time
通过工具调用（如Python解释器或SymPy符号计算库）弥补语言模型的精确计算短板是更务实的技术路线
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
8/26/2026
First Seen
Valid until: 11/24/2026
Sources
Related Entities
Related Claims
Unverified任何'结果确定、过程需要生成'的任务都可尝试把大语言模型当作约束求解器和路径规划器，而非单纯文本生成器74% similarUnverifiedLarge language models with strong reasoning capabilities can understand code semantic logic and discover new types of defects that have never appeared in known vulnerability databases.73% similarUnverifiedUnlike earlier rule-based static analysis tools, large language models are capable of capturing the 'intent' of code rather than merely its 'structure'.73% similarUnverifiedTONGYI Lingma's underlying layer relies on the code understanding and generation capabilities of the Tongyi Qianwen series of large language models.72% similarUnverified结构化的提示词相比纯文本段落，能让模型更精确地识别不同指令模块的边界，减少指令混淆72% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/802596API
curl https://kongchang.com/api/v1/knowledge/claims/802596MCP
get_claim(id=802596)