An alien flying in from space aboard a comet would look down on Earth and see that there is this highly influential and famous software company called Nvidia that just so happens to have a massively ...
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How NotebookLM made self-hosting an LLM easier than I ever expected
With a self-hosted LLM, that loop happens locally. The model is downloaded to your machine, loaded into memory, and runs directly on your CPU or GPU. So you’re not dependent on an internet connection ...
Explore Open Notebook and HyperbookLM with mind maps, slide decks, and web scraping, helping you turn raw files into clear ...
**Brand new fully updated 2023 version** Power Apps model-driven apps are web-based applications built on your data model - think along the lines of a CRM system, or something you might have built ...
Learn how to run local AI models with LM Studio's user, power user, and developer modes, keeping data private and saving monthly fees.
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在当今以数据为驱动的时代,时序预测已成为众多领域不可或缺的核心组成。然而,构建一个兼具强大性能与高效运算的大规模时序预测模型始终是一个巨大的挑战。此外,高质量的大型公共时间序列数据库的匮乏进一步加剧了这一难题。
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