Practices for Governing Agentic AI Systems

In sequence processing, one of the biggest challenges lies in optimizing attention mechanisms for computational efficiency. Linear attention has proven to be an efficient attention mechanism with its ability to process tokens in linear computational complexities. It has recently emerged as a promising alternative to conventional softmax attention. This theoretical advantage allows it to handle…

Powered by global.ntt In the News Top Artificial Intelligence Books to Read in 2024 Artificial Intelligence (AI) has been making significant strides over the past few years, with the emergence of Large Language Models (LLMs) marking a major milestone in its growth. marktechpost.com Sponsor GenAI can transform business operations GenAI presents immense opportunities for innovation,…

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Natural Language Processing (NLP) is one area where Large transformer-based Language Models (LLMs) have achieved remarkable progress in recent years. Also, LLMs are branching out into other fields, like robotics, audio, and medicine. Modern approaches allow LLMs to produce visual data using specialized modules like VQ-VAE and VQ-GAN, which convert continuous visual pixels into discrete…

Powered by columbia.edu Welcome Interested in sponsorship opportunities? Join the AI conversation and transform your advertising strategy with AI weekly sponsorship aiweekly.co In the News Sundar Pichai dismisses AI job fears, emphasizes expansion plans In a Bloomberg interview Wednesday night in downtown San Francisco, Alphabet CEO Sundar Pichai pushed back against concerns that AI could…

Artificial Intelligence (AI), particularly through deep learning, has revolutionized many fields, including machine translation, natural language understanding, and computer vision. The field of medical imaging, specifically chest X-ray (CXR) interpretation, is no exception. CXRs, the most frequently performed diagnostic imaging tests, hold immense clinical significance. The advent of vision-language foundation models (FMs) has opened new…