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Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).
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LLMは「蒸留(distillation;ディスティレーション)」と呼ばれるプロセスをつうじて、ほかのモデルを訓練するためのデータセットを生成できる。このプロセスでは、「生徒」モデルが「教師」モデルの出力を模倣するように学習する。この過程は、LLMの低コスト版を作成する目的で利用されることがあるが、教師モデルのどの特性が生徒モデルに伝達されるかは不明である。
The UK’s fintech scene is buzzing, and understanding what people earn is key if you’re looking to get a piece of the action.