AITowards Data Scienceabout 2 hours ago
Deterministic Prompt Pruning Layer for LLMs
1 min read
A deterministic prompt-pruning pipeline removes redundant conversation state before it reaches an LLM. It runs three passes: expired context elimination, duplicate context elimination, and dependency restoration. Token reduction reaches 33 to 34 percent for tool-heavy agents. Preprocessing stays under 50 milliseconds even at 131,000 tokens.
Level
Hype check
Tap to vote and see what everyone thinks.
Summary by ByteBrief
