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Ant Group uses domestic chips to train AI models and cut costs

AI News

The Alibaba-owned company has used chips from domestic suppliers, including those tied to its parent, Alibaba , and Huawei Technologies to train large language models using the Mixture of Experts (MoE) method. According to the Ant Group paper, training one trillion tokens the basic units of data AI models use to learn cost about 6.35

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Ericsson launches Cognitive Labs to pioneer telecoms AI research

AI News

MLR Lab (Machine Learning and Reasoning Lab): Focusing on training model optimisation and reinforcement learning, this lab aims to advance energy-efficient training for AI models and support the creation of digital twins that simulate physical realities.

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Rethinking Scaling Laws in AI Development

Unite.AI

While this may seem like a technical nuance, precision directly affects the efficiency and performance of AI models. The study, titled Scaling Laws for Precision , delves into the often-overlooked relationship between precision and model performance.

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New AI training techniques aim to overcome current challenges

AI News

Addressing unexpected delays and complications in the development of larger, more powerful language models, these fresh techniques focus on human-like behaviour to teach algorithms to ‘think. The o1 model is designed to approach problems in a way that mimics human reasoning and thinking, breaking down numerous tasks into steps.

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William Falcon, Founder and CEO of Lightning AI – Interview Series

Unite.AI

Lightning AI is the creator of PyTorch Lightning , a framework designed for training and fine-tuning AI models, as well as Lightning AI Studio. PyTorch Lightning was initially developed by William Falcon in 2015 while he was at Columbia University. to Lightning AI and the vision driving this evolution?

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Is America falling behind in the AI race?

AI News

Several major US artificial intelligence companies have expressed fear around an erosion of America’s edge in AI development. In recent submissions to the US government, the companies warned that Chinese models, such as DeepSeek R1, are becoming more sophisticated and competitive.

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The exponential expenses of AI development

AI News

This dichotomy has led Bloomberg to aptly dub AI development a “huge money pit,” highlighting the complex economic reality behind today’s AI revolution. At the heart of this financial problem lies a relentless push for bigger, more sophisticated AI models.