{ "

Greedy Sampling

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Here we sample the most likely token from the distribution of logits.

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Here's an experiment that uses these sampling techniques.

\n": "

\u6b32\u5f35\u308a\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0

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\u3053\u3053\u3067\u306f\u3001\u30ed\u30b8\u30c3\u30c8\u306e\u5206\u5e03\u304b\u3089\u6700\u3082\u53ef\u80fd\u6027\u306e\u9ad8\u3044\u30c8\u30fc\u30af\u30f3\u3092\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0\u3057\u307e\u3059\u3002

\n

\u3053\u308c\u306f\u3001\u3053\u308c\u3089\u306e\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0\u624b\u6cd5\u3092\u4f7f\u7528\u3057\u305f\u5b9f\u9a13\u3067\u3059\u3002

\n", "

Sample the most likely token from the distribution of logits

\n": "

\u30ed\u30b8\u30c3\u30c8\u306e\u5206\u5e03\u304b\u3089\u6700\u3082\u53ef\u80fd\u6027\u306e\u9ad8\u3044\u30c8\u30fc\u30af\u30f3\u3092\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0\u3059\u308b

\n", "A PyTorch implementation of greedy sampling from language models.": "\u8a00\u8a9e\u30e2\u30c7\u30eb\u304b\u3089\u306e\u8caa\u6b32\u306a\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0\u306e PyTorch \u5b9f\u88c5\u3002", "Greedy Sampling": "\u6b32\u5f35\u308a\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0" }