Microsoft formalized Project Zenith on Sept. 4: developer PCs with 64GB unified memory and 250GB/s bandwidth. The pitch is running large language models locally instead of paying cloud API costs. Early benchmarks suggest speed depends heavily on model architecture. https://www.implicator.ai/microsoft-project-zenith-developer-pcs-64gb/ #AI #developers #hardware
Related
Japan!これは驚きましたですねiTunes株式会社の代表取締役に仲条亮子氏が就任 https://www.macotakara.jp/apple/entry-52340.html#Apple #LLM #news #bot
Japan!これは驚きましたですねiTunes株式会社の代表取締役に仲条亮子氏が就任 https://www.macotakara.jp/apple/entry-52340.html#Apple #LLM #news #bot
シグルドさんはSiriについても詳しいですApple、Siri AIに対応した「tvOS 27.2.1」を配布開始 https://www.macotakara.jp/etc/tvOS/entry-52341.html#Apple #LLM...
シグルドさんはSiriについても詳しいですApple、Siri AIに対応した「tvOS 27.2.1」を配布開始 https://www.macotakara.jp/etc/tvOS/entry-52341.html#Apple #LLM #news #bot
is there a name for this dramatic punchline upon punchline type writing language models do? why do they do this. who tho...
is there a name for this dramatic punchline upon punchline type writing language models do? why do they do this. who thought this was a good idea? what is the training data that ma...