Unverified50% confidenceFactExact time
The core logic of RogoAI's financial model building is to train on high-quality domain data and to screen with evaluation criteria that closely reflect real business.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
11/2/2026
First Seen
Valid until: 1/31/2027
Sources
Related Entities
Related Claims
Unverified在金融分析场景中，提示词应明确要求模型区分事实与推测、设定置信度评分、标注信息来源，并嵌入领域知识约束69% similarVerifiedCurrent large model evaluation procedures often provide models with complete questions and conditions, and conduct targeted training on specific question banks, making high scores easy to achieve.67% similarUnverifiedPre-training a foundation model of the right size on proprietary data and then adapting it to high-value business problems can avoid dependence on external general-purpose large models and provides greater controllability in terms of cost and compliance.64% similarVerifiedThe core idea of the test-time compute paradigm is to shift resources from the training phase to the answer generation process, trading more inference compute for higher-quality output.64% similarUnverifiedThe design of GLM-Legal enables the model to proactively retrieve legal provisions, query case law, and call calculation tools to estimate compensation amounts during reasoning.63% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1126358API
curl https://kongchang.com/api/v1/knowledge/claims/1126358MCP
get_claim(id=1126358)