Unverified50% confidenceFactExact time
Not all local small models can reliably support tool calling; this capability requires the model to be specifically fine-tuned for the Function Calling format during training.
1
Sources
50%
Confidence
Long-term
Relevance
9/18/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedSimply stacking parameters without sufficient training data results in a model that is large but not capable; a leap in parameters must be accompanied by a proportionally expanded training corpus and computing power to realize capability gains.75% similarUnverified指令微调不需要从头训练,通常仅需基础训练计算量的1%以下即可显著改变模型行为模式72% similarUnverifiedThe vast majority of large model application developers do not need to train models, but instead mobilize model capabilities by designing prompts.72% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/930811API
curl https://kongchang.com/api/v1/knowledge/claims/930811MCP
get_claim(id=930811)