Owain Evans’ idea of feeding a historical LLM non-anachronistic images is, I think, well worth doing. But it’s also worth expanding on further. Would it be helpful, when training a historical LLM, to simulate dream imagery based on premodern themes? What about audio of birdcalls, which were far more prominent in the audioscapes of premodern people? What about taking it on a walk through the woods?
63-летняя Деми Мур вышла в свет с неожиданной стрижкой17:54
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Филолог заявил о массовой отмене обращения на «вы» с большой буквы09:36
The segmentation unit performs two operations simultaneously: adding the segment base to produce the linear address and comparing the effective address against the segment limit. Both use dedicated 32-bit adder/subtractor circuits.。雷电模拟器官方版本下载对此有专业解读
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However, stylecloud was hacky and fragile, and a number of features I wanted to add such as non-90-degree word rotation, transparent backgrounds, and SVG output flat-out were not possible to add due to its dependency on Python’s wordcloud/matplotlib, and also the package was really slow. The only way to add the features I wanted was to build something from scratch: Rust fit the bill.