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规模方面,有色金属ETF天弘最新规模达44.42亿元,创成立以来新高,位居可比基金2/5。(数据来源:Wind)
,详情可参考wps
Looking at the left side of the diagram, we see stuff enters at the bottom (‘input’ text that has been ‘chunked’ into small bits of text, somewhere between whole words down to individual letters), and then it flows upwards though the model’s Transformer Blocks (here marked as [1, …, L]), and finally, the model spits out the next text ‘chunk’ (which is then itself used in the next round of inferencing). What’s actually happening here during these Transformer blocks is quite the mystery. Figuring it out is actually an entire field of AI, “mechanistic interpretability*”.
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