KNOWLEDGE COMPRESSOR

Summary from the TLDR newsletter

Natural language tends to contain quite a bit of repetition and redundancy, which isn't inherently bad, but it comes with tradeoffs. With AI, repetition can cost a significant amount of tokens when working with substantial knowledge content. This study looks at whether documentation can be made less repetitive through compression. It found that typical technical documentation can have its token count cut in half without substantially reducing its usefulness to language models.