SAN MATEO, Calif.--(BUSINESS WIRE)--Hammerspace, the company orchestrating the Next Data Cycle, today released the data architecture being used for training inference for Large Language Models (LLMs) ...
Large language models like ChatGPT and Llama-2 are notorious for their extensive memory and computational demands, making them costly to run. Trimming even a small fraction of their size can lead to ...
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China Telecom touts country-first AI models based on MoE architecture and Huawei chips
China Telecom has developed the country’s first artificial intelligence models with the innovative Mixture-of-Experts (MoE) ...
Google has released the second iteration of their open weight models, Gemma 2, which includes three models with 2, 9, and 27 billion parameters. Currently, only the 9 and 27 billion parameter models ...
By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" that solves the latency bottleneck of long-document analysis.
Where, exactly, could quantum hardware reduce end-to-end training cost rather than merely improve asymptotic complexity on a ...
Chinese company Zhipu AI has trained image generation model entirely on Huawei processors, demonstrating that Chinese firms ...
Many enterprise AI initiatives continue to struggle — with 95% failing to deliver ROI due to inadequate data infrastructure and 70% of organizations reporting minimal positive effect on ...
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