Unverified50% confidenceFactExact time
The ABACUS framework improves multi-step reasoning by composing reusable programs to freeze the judgment model's decisions, and the model parameters are not updated throughout.
1
Sources
50%
Confidence
Long-term
Relevance
10/20/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedA frozen model refers to a model whose weight parameters all remain unchanged during the inference phase, with no fine-tuning, adapter training, or online learning performed.78% similarUnverifiedFlyte 支持条件逻辑,可仅当模型评估指标超过预设阈值时才自动触发部署流程73% similarUnverifiedThe auxiliary model serves only as a front-end acceleration tool and does not replace the main model in core decision-making; the main model's original response style, semantic logic, and knowledge accuracy remain in their native state.73% similarUnverifiedDuring inference, model weights are frozen, and the model is merely managing context rather than converting present experience into persistent model knowledge.72% similarUnverifiedA single model itself has no persistent goals, but once connected to tool calling, memory and a looped decision-making framework, it exhibits clear agentic characteristics.72% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1073910API
curl https://kongchang.com/api/v1/knowledge/claims/1073910MCP
get_claim(id=1073910)