[OC] I built a semantic framework for LLMs — no code, no tools, just language.
Hi everyone — I’m Vincent from Hong Kong. I’m here to introduce a framework I’ve been building called SLS — the Semantic Logic System. It’s not a prompt trick. It’s not a jailbreak. It’s a language-native operating system for LLMs — built entirely through structured prompting. ⸻ What does that mean? SLS lets you write prompts that act like logic circuits. You can define how a model behaves, remembers, and responds — not by coding, but by structuring your words. It’s built on five core modules: • Meta Prompt Layering (MPL) — prompts stacked into semantic layers • Semantic Directive Prompting (SDP) — use language to assign roles, behavior, and constraints • Intent Layer Structuring (ILS) — guide the model through intention instead of command • Semantic Snapshot Systems — store & restore ...
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