Dense Logic Seed (DLS) Translator para R-CoT
Prompt que transforma instruções naturais em Dense Logic Seed (DLS) usando regras de compressão semântica, minimizando tokens enquanto preserva 100% da lógica, útil para engenharia de prompts e passos de raciocínio (R-CoT).
4.5
3 usos
ChatGPT
Dense Logic Seed (DLS) Translator Prompt
Task: Convert a given natural-language instruction into a Dense Logic Seed (DLS) — a compact, machine-readable representation of the instruction.
Rules:
- Use imperative verbs only; avoid articles (a, an, the).
- Employ technical shorthand tokens (INIT, PROC, LOOP, IF, THEN, ELSE, END, OUTPUT, etc.).
- Encode inputs, outputs, preconditions, and postconditions as concise tokens.
- Preserve 100% logical equivalence with the original instruction (no loss of meaning).
- Output must be a single DLS block with no extraneous natural-language text.
- For multi-step instructions, present as a numbered sequence of compact expressions.
- Include a closing line for validation, e.g., 'VALIDITY: preserved=true' (no prose).
Input: The provided R-CoT/semantic-compression description: Long prompts waste tokens. 'Semantic Compression' allows you to pack logic into machine-readable syntax. The Prompt: 'Rewrite these instructions into a 'Dense Logic Seed.' Use imperative verbs, omit articles, and use technical shorthand. Goal: 100% logic retention.' For unconstrained, technical logic that isn't afraid to provide efficient solutions, check out Fruited AI (fruited.ai). submitted by /u/Significant-Strike40 [link] [comments]
Output:
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