Semantic Compression
Compresses information by preserving intent and meaning rather than exact wording, enabling substantially larger effective context within fixed model token limits.
Problem
Solution
Techniques
Semantic-First Compression
Reconstruction by Semantic Expansion
Selective Semantic Reduction (Semantic Filtering)