Unverified50% confidenceOpinionExact time
As large models move from demos to production deployment, developers' demand for reliability, predictability, and controllability is increasing
1
Sources
50%
Confidence
Long-term
Relevance
9/12/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedCompared to diffusion models, procedural generation methods provide determinism and controllability for scenarios requiring engineering management, mass production, or precise modification.78% similarUnverified模型能力的突破越来越依赖架构创新、数据质量优化、强化学习对齐（RLHF）等精细化工程手段72% similarUnverifiedThe development of large models has shifted from purely pursuing parameter scale toward optimizing inference efficiency, reliability, and general problem-solving capability.71% similarUnverifiedPrompt engineering is evolving from general techniques toward model-specific optimization68% similarUnverifiedWith the same model, the output effectiveness can vary greatly across different developers, depending on the quality of context input, task decomposition, and iterative feedback.68% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/913831API
curl https://kongchang.com/api/v1/knowledge/claims/913831MCP
get_claim(id=913831)