Generative AI
Google Imagen 3 Raises the Bar: Google’s Imagen 3 outperforms rivals in text-to-image benchmarks
Image generation continued its rapid march forward with a new version of Google’s flagship text-to-image model.
Generative AI
Image generation continued its rapid march forward with a new version of Google’s flagship text-to-image model.
Generative AI
While some observers argue that large language models can’t produce truly original output, new work prompted them to generate novel scientific research.
Machine Learning Research
Literary works are challenging to translate. Their relative length, cultural nuances, idiomatic expressions...
Generative AI
A new company with deep roots in generative AI made an eye-catching debut.
Machine Learning Research
Seemingly an innocuous form of expression, ASCII art opens a new vector for jailbreak attacks on large language models (LLMs), enabling them to generate outputs that their developers tuned them to avoid producing.
Machine Learning Research
Researchers increasingly fine-tune models on synthetic data, but generated datasets may not be sufficiently diverse. New work used agentic workflows to produce diverse synthetic datasets.
Machine Learning Research
Previous systems that produce a talking-head video from a photo and a spoken-word audio clip animate the lips and other parts of the face separately.
Machine Learning Research
Large language models can produce output that’s convincing but false. Researchers proposed a way to identify such hallucinations.
Tech & Society
The word “open” can mean many things with respect to AI. A new paper outlines the variations and ranks popular models for openness.
Machine Learning Research
Published in mid-2022, DreamBooth enables Stable Diffusion to depict variations on a given subject; say, a particular dog and the same dog with angel wings or wearing a chef’s hat.
Machine Learning Research
Low-rank adaptation (LoRA) reduces memory requirements when fine-tuning large language models, but it isn’t as conducive to pretraining.
Machine Learning Research
The technique of model merging combines separate models into a single, more capable model without further training, but it requires expertise and manual effort. Researchers automated the process.