Scalable pre-training of large autoregressive image models
This article presents AIM, a collection of vision models pre-trained with an autoregressive objective. These models are inspired by their ...
This article presents AIM, a collection of vision models pre-trained with an autoregressive objective. These models are inspired by their ...
The challenge of efficiently searching and retrieving information in digital data has become more pronounced. Traditional search methods need help ...
In a recent publication in Nature Physics, researchers from Google Quantum ai and other institutes addressed a critical challenge in ...
A team of researchers from UC Berkeley and Stanford has developed a new efficient parameter tuning method called Low-Rank Adaptation ...
Large language models are sophisticated artificial intelligence systems built to understand and produce human-like language on a large scale. These ...
An innovative advancement in the field of artificial intelligence is the expansion of Transformers. It has enabled major advances in ...
Many real-world graphs include crucial time domain data. Both spatial and temporal information are crucial in spatio-temporal applications such as ...
In the field of video content organization, segmenting long videos into chapters emerges as an important capability, allowing users to ...