Unverified50% confidenceFactExact time
d1-3B is a decision model that reads text, JSON, and images and directly gives answers to predefined questions (yes/no, multiple choice, scale rating) in a single forward pass, generating no text, with an output token count of 0.
1
Sources
50%
Confidence
Long-term
Relevance
10/12/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe essence of supporting AI coding tools is to provide token files as structured text (such as JSON), enabling LLMs to directly read semantic design variables and generate code that conforms to brand specifications.62% similarUnverified大语言模型可通过Zero-shot方式同时完成意图识别与槽位提取,并直接输出为JSON等结构化格式61% similarUnverifiedStructured output refers to forcing a language model to generate responses according to a predefined format (most commonly JSON Schema) rather than free text.60% similarUnverifiedD2 is a declarative diagramming tool that converts text descriptions into visual diagrams, where users only need to describe the logical structure of the diagram without worrying about the specific positions of nodes and connections.58% similarUnverifiedThe paper uses the L* grammar inference algorithm to learn a deterministic finite automaton (DFA) for routing decisions, rather than hand-coding rules.58% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1005990API
curl https://kongchang.com/api/v1/knowledge/claims/1005990MCP
get_claim(id=1005990)