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Google Research Unveils Generative Infinite-Vocabulary Transformers (GIVT): Pioneering Real-Valued Vector Sequences in AI

Transformers were first introduced and quickly rose to prominence as the primary architecture in natural language processing. More lately, they have gained immense popularity in computer vision as well. Dosovitskiy et al. demonstrated how to create effective image classifiers that beat CNN-based architectures at high model and data scales by dividing pictures into sequences of…

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How to design an MLOps architecture in AWS? | by Harminder Singh

A guide for developers and architects especially those who are not specialized in machine learning to design an MLOps architecture for their organization Introduction According to Gartner’s findings, only 53% of machine learning (ML) projects progress from proof of concept (POC) to production. Often there is a misalignment between the strategic objectives of the company…

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Researchers from Johns Hopkins and UC Santa Cruz Unveil D-iGPT: A Groundbreaking Advance in Image-Based AI Learning

Natural language processing (NLP) has entered a transformational period with the introduction of Large Language Models (LLMs), like the GPT series, setting new performance standards for various linguistic tasks. Autoregressive pretraining, which teaches models to forecast the most likely tokens in a sequence, is one of the main factors causing this amazing achievement. Because of…

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