[2305.17493] The Curse of Recursion: Training on Generated Data Makes Models Forget
Stable Diffusion revolutionised image creation from descriptive text. GPT-2, GPT-3(.5) and GPT-4 demonstrated astonishing performance across a variety of language tasks. ChatGPT introduced such language models to the general public. It is now clear that large language models (LLMs) are here to stay, and will bring about drastic change in the whole ecosystem of online text and images. In this paper we consider what the future might hold. What will happen to GPT-{n} once LLMs contribute much of the language found online? We find that use of model-generated content in training causes irreversible defects in the resulting models, where tails of the original content distribution disappear. We refer to this effect as Model Collapse and show that it can occur in Variational Autoencoders, Gaussian Mixture Models and LLMs. We build theoretical intuition behind the phenomenon and portray its ubiquity amongst all learned generative models. We demonstrate that it has to be taken seriously if we are to sustain the benefits of training from large-scale data scraped from the web. Indeed, the value of data collected about genuine human interactions with systems will be increasingly valuable in the presence of content generated by LLMs in data crawled from the Internet.
A personal booru-style media tagger that can import files and tags from your hard drive and popular websites. Content can be shared with other users via user-run servers.
A comprehensive guide on developing feature-rich Chrome extensions using NextJS, TypeScript, and React. Learn about leveraging NextJS benefits, structuring the extension, using React, TypeScript, and Chrome APIs, and the build process.
Blade Templates - Laravel 11.x - The PHP Framework For Web Artisans
Laravel is a PHP web application framework with expressive, elegant syntax. We’ve already laid the foundation — freeing you to create without sweating the small things.
Build data-heavy applications for a global audience with ease. Bring your data to the edge with Accelerate or build real-time applications based on change-data-capture with Pulse.
This D3 tutorial teaches you how to create powerful data visualizations for the web. It gives you a fast introduction to the key concepts of D3.js, like selections, data, axes, scales, bar charts, pie charts, SVG elements, and more.
Physically-Based Rendering, And You Can Too! | Marmoset
We cover the basics of art content creation, some of the reasoning behind various PBR standards (without getting too technical), and squash some common misconceptions.
(1) Custom Anki Card Types for Language Learning - YouTube
Norwegian & Things Podcast https://anchor.fm/norwegian-thingsYou can find the templates in the show notes https://www.notion.so/alemayhu/How-to-learn-Norwegi...
Use Sentiment Analysis With Python to Classify Movie Reviews – Real Python
In this tutorial, you'll learn about sentiment analysis and how it works in Python. You'll then build your own sentiment analysis classifier with spaCy that can predict whether a movie review is positive or negative.
Build a Recommendation Engine With Collaborative Filtering – Real Python
In this tutorial, you'll learn about collaborative filtering, which is one of the most common approaches for building recommender systems. You'll cover the various types of algorithms that fall under this category and see how to implement them in Python.
Moebius-style post-processing and other stylized shaders - Maxime Heckel's Blog
A detailed essay on the process of building a post-processing stylized shader reproducing the style of legendary artist Jean Giraud a.k.a Moebius for your React Three Fiber projects. In it, I detail the process of drawing outlines with a Sobel Filter as well as custom shadow and lighting patterns to bring a unique style to your WebGL scene.
Create Add to Calendar Links for Google Calendar, Outlook, Apple Calendar
Create Add to Calendar links for adding appointments and events in email message websites and newsletters. Works with Google Calendar, Microsoft Office 365, Outlook, Yahoo Calendar and Apple iCalendar .ics files.