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“At present, even the best models can generate hallucination-free text only about 35% of the time.” There’s been other academic attempts at probing the “factuality” of models, including ...
A custom algorithm is able to scan what you've written on a piece of paper and then reproduce your style, to an impressive degree, using whatever words you wish. To capture your scrawl, the team ...
Now, there’s an AI generator for that. Justin Pinkney, a machine learning researcher at Lambda Labs, created a “text to Pokémon” generator by fine-tuning Stable Diffusion, an AI image ...
The collaboration between the two was revealed when xAI announced it is working with Black Forest Labs to power Grok’s image generator using its FLUX.1 model. An AI image and video startup that ...
Stability AI, the startup behind Stable Diffusion, the tool that uses generative AI to create images from text prompts, revealed Stable Diffusion 3, a next-generation model, on Thursday. Stability ...
Many work by using techniques such as Markov chains to reprocess real text examples; alternatively, they may be hand-coded. Generated texts can vary from essay length to paragraphs and tweets. (The term "quote generator" can also be used for software that randomly selects real quotations.)
Created by developer Thomas Dimson, ThisWordDoesNotExist.com uses GPT-2, a neural net designed to create predictive text. OpenAI invented GPT-2 and warned that it could write believable fake news ...
A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description. Text-to-image models began to be developed in the mid-2010s during the beginnings of the AI boom, as a result of advances in deep neural networks. In 2022, the output of state-of-the-art text-to ...
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