Muse, a new Text-To-Image Generation that can produce photos of a high quality
Meanwhile Google AI released a research paper about Muse, a new Text-To-Image Generation that can produce photos of a high quality comparable to those produced by models like the DALL-E 2 and Imagen at a rate that is far faster.
Muse uses a 900 million parameter model called a masked generative transformer to create visuals instead of pixel-space diffusion or autoregressive models. Google AI has trained a series of Muse models with varying sizes, ranging from 632 million to 3 billion parameters, finding that conditioning on a pre-trained large language model is crucial for generating photorealistic, high-quality images.
The right choice of a business partner is one of the main tasks of any business. The quality of goods or services that the company receives, as well as its reputation, depend on the reliability of the supplier. To make the process transparent and convenient, scoring models for assessing reliability come to the rescue.
Summer is coming to an end, but life in the analytics field is bustling. New vendor announcements, promising projects, and the pervasive penetration of AI into all areas of our lives are paving the way for the upcoming business season.
Maksim Karankevich, Director of Data and Digital Transformation, Ultramar, in his presentation shared his experience of implementing a cellular-based industrial radio network.
The home goods retailer has long been committed to digital innovation, not only in product design but also in transforming operational strategies.