Recent searches

No recent searches

Search options

Only available when logged in.
101010.pl is one of the many independent Mastodon servers you can use to participate in the fediverse.
101010.pl czyli najstarszy polski serwer Mastodon. Posiadamy wpisy do 2048 znaków.

Administered by:

Server stats:

487
active users

101010.pl: AboutStatusProfiles directoryPrivacy policy

Mastodon: AboutGet the appKeyboard shortcutsView source codev4.5.0-alpha.1

#modelcollapse

0 posts0 participants0 posts today
Replied in thread
Nemo_bis 🌈

@Aedius +1 sometimes called #ModelCollapse arxiv.org/abs/2305.17493 or #ModelAutophagyDisorder or #MatthewEffect
@HeavenlyPossum

arXiv.orgThe Curse of Recursion: Training on Generated Data Makes Models ForgetStable 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.
*
Coach Pāṇini ®

Synthetic machines which are purpose-built to automate synthetic websites containing synthetic content (which are not protected IP), and are then re-ingested by other synthetic machines to generate more unprotected synthetic content is a good way to cause #ModelCollapse and also pollute our information ecosystem.

I feel like #LLMs were Chernobyl of the internet and everyone is inside the containment zone.

www-bbc-com.cdn.ampproject.org

BBC NewsNY Times sues Microsoft and OpenAI for 'billions' - BBC NewsThe US news organisation claims millions of its articles were used without permission to train ChatGPT.
TrendingLive feeds
About