Unverified50% confidenceFactExact time
The vast majority of sandbox-style multi-agent projects call existing large-model APIs rather than training their own models.
1
Sources
50%
Confidence
Long-term
Relevance
10/26/2026
First Seen
Sources
Related Entities
Related Claims
Unverified对于小说家工具这样的应用型产品,直接基于大模型API构建可能比自己训练模型更明智76% similarUnverifiedMost developers call foundation models through token-billed APIs rather than training models themselves.73% similarUnverifiedFrontier general-purpose large models require no task-specific optimization but are often only accessible via API, whereas smaller specialized models require targeted training but can be deployed locally, making them more suitable for medical data privacy scenarios.71% similarUnverifiedscikit-learn将ML算法封装成统一API接口:fit()训练模型、predict()做预测、score()评估效果70% similarUnverifiedOpenAI's research on instruction following and web-based learning systems shows that the training-layer dynamics are far more complex than they appear on the surface, and training data cannot be directly optimized tactically.69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1097976API
curl https://kongchang.com/api/v1/knowledge/claims/1097976MCP
get_claim(id=1097976)