Unverified50% confidenceSolutionExact time
The most valuable learning signals include modifications to deliverables, content where humans corrected the AI, issues that required repeated emphasis before reaching agreement, and key decisions that changed the direction of execution.
1
Sources
50%
Confidence
Long-term
Relevance
9/11/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedSupervised fine-tuning trains models to imitate correct answers labeled by humans, while reinforcement learning fine-tuning allows models to learn optimal strategies through trial and error.73% similarUnverified在离线强化学习算法(如 Decision Transformer、IQL)中,episode 边界信息对于正确计算回报(return-to-go)至关重要70% similarUnverifiedPrompt engineering is evolving from general techniques toward model-specific optimization69% similarUnverified大多数扩散模型对提示词中靠前位置的描述赋予更高的权重,因此将最重要的视觉元素放在提示词开头是有效的实践技巧69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/902589API
curl https://kongchang.com/api/v1/knowledge/claims/902589MCP
get_claim(id=902589)