From 500 Tokens to One: The Breakthrough Power of Cambridge U’s 500xCompressor | Synced
In a new paper 500xCompressor: Generalized Prompt Compression for Large Language Models, a Cambridge U team proposes the 500xCompressor, a method designed to condense extensive natural language con...
Source: Synced | AI Technology & Industry Review
In a new paper 500xCompressor: Generalized Prompt Compression for Large Language Models, a Cambridge U team proposes the 500xCompressor, a method designed to condense extensive natural language contexts into a minimum of just one special token, achieving compression ratios ranging from 6x to 480x.