Lorem Ipsum Generator

LLM cliché highlighter

Paste text below — or load it from a URL — and it highlights sentences that match known LLM clichés, including the tells catalogued in Wikipedia’s Signs of AI writing guide. Chain patterns like “no X, no Y” get a badge counting their items; tap or hover a highlight to see which cliché it hit.

blackout poetry generator

Turns any web page into a work of procedurally generated blackout poetry!

Markpub.at Markdown Lexicon

Providing a Lexicon for putting Markdown in the ATmosphere.

WASA: WAtermark-based Source Attribution for Large Language Model-Generated Data

The impressive performances of Large Language Models (LLMs) and their immense potential for commercialization have given rise to serious concerns over the Intellectual Property (IP) of their training data. In particular, the synthetic texts generated by LLMs may infringe the IP of the data being used to train the LLMs. To this end, it is imperative to be able to perform source attribution by identifying the data provider who contributed to the generation of a synthetic text by an LLM. In this paper, we show that this problem can be tackled by watermarking, i.e., by enabling an LLM to generate synthetic texts with embedded watermarks that contain information about their source(s). We identify the key properties of such watermarking frameworks (e.g., source attribution accuracy, robustness against adversaries), and propose a source attribution framework that satisfies these key properties due to our algorithmic designs. Our framework enables an LLM to learn an accurate mapping from the generated texts to data providers, which sets the foundation for effective source attribution. Extensive empirical evaluations show that our framework achieves effective source attribution.

The Impact of AI-Generated Text on the Internet

The proliferation of AI-generated and AI-assisted text on the internet is feared to contribute to a degradation in semantic and stylistic diversity, factual accuracy, and other negative...

The Impact of AI-Generated Text on the Internet

The proliferation of AI-generated and AI-assisted text on the internet is feared to contribute to a degradation in semantic and stylistic diversity, factual accuracy, and other negative...

Structured LLM output from ATProto Lexicons

Standard.site: the Publishing Gateway

Another deep exploration into ATProto and implementing lexicons

Standard.site: the Publishing Gateway

Another deep exploration into ATProto and implementing lexicons

docuowl/docuowl

🦉 A documentation generator

the mud coders guild

:computer: text-based words in long-form format