GithubHelp home page GithubHelp logo

integralcompression's Introduction

Collision compression works by finding common "tokens" in text and replacing them with a smaller code.

The limitation of compression ratio with this algorithm is the effectiveness of your tokens.

It's possible to generate the ideal tokens by finding the largest, most likely tokens in the set.

The ratio between token size and probability of collision can seen as a success if it is above a certain threshold.

We can then generate a normal distribution from these ratios.

Additionally, we can incorporate speculative token generation for any text given it's approximate size using this distribution,

and then we can prove that the threshold chosen is the ideal threshold to achieve maximum compression ratios.

PDF with formula coming soooon

integralcompression's People

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.