Built on a cache-aware streaming FastConformer encoder with causal convolutions and bounded-context attention:
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?
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🔟 桶排序 (Bucket Sort)
СюжетВстреча Путина и Зеленского
let fleetCount = 0; // 独立车队数量