Amazon Web Services Voles Two new Titan-Vision Language Models

Amazon Web Services Voles Two new Titan-Vision Language Models

Last month, at its annual RE: Invent Development ‘Conference, Amazon Web Services (AWS) announced the release of two new additions to its Titan Family of Foundation models, both of which translate between text and images. Related content AWS SERVICE Enable Machine Learning Innovation at Robust Foundation. With Amazon Titan Multimodal embedders now available via Amazon … Read more

Vision-language models that can handle input with more images

Vision-language models that can handle input with more images

Vision-language models that map images and text into a common representative space have shown remacable performance on a wide range of multimodal AI tasks. But they are typically trained on text images: Each text input is connected to a single image. This limits the usability of the models. For example, you may wish that a … Read more

Knowledge method to better vision -language models

Knowledge method to better vision -language models

Large machine learning models based on the transformer architecture have recently demonstrated extraordinary results about the range of vision and language tasks. But so large models are often too slow for real -time use, so practical systems are often dependent on knowledgeillation to distill large models’ knowledge to slimmer, faster models. The defining characteristic of … Read more

A quick guide to Amazon’s papers on CVPR 2024

A quick guide to Amazon's papers on CVPR 2024

In the last few years, foundation models and generative-IA models-and especially large language models (LLMs)-have become an important topic for AI research. It is true even in computer vision with its increased focus on vision-language models, such as Yoke LLMS and image codes. This shift can be seen in the blanks of the Amazon papers … Read more

Quantification of images’ “conceptual equality” – Amazon Science

Quantification of images' "conceptual equality" - Amazon Science

What do two similar pictures do? The question is of vital importance for the training of computer vision systems, but it is notorious to answer. That’s because for a human observer is the similarity between two images not only visual but Conceptual: If pixel patterns are very different, nevertheless express the same concept. In a … Read more

A quick guide to Amazon’s papers on Neurips 2024

A quick guide to Amazon's papers on Neurips 2024

The 2024 Conference on Neural Information Processing Systems (Neurips)-the first conference in artificial intelligence-begins today, and the Amazon papers that were accepted there show the breadth of the company’s AI research. Large Language Models (LLMs) and other basic models have dominated the field for the past few years, and Amazon’s papers reflect this trend that … Read more