@Xudong07452910: Interpreting Jev from this angle is pretty interesting—is this the Renaissance of the Encoder? I still remember that my…

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A tweet discusses the resurgence of encoder models in AI, referencing BERT and GPT, and questions if this marks a Renaissance of the Encoder.

Interpreting Jev from this angle is pretty interesting—is this the Renaissance of the Encoder? I still remember that my first paper used an Encoder to build a time series forecasting model; back then, BERT still had its place.
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Interpreting Jev from this angle is pretty interesting—is this the Renaissance of the Encoder? I still remember that my first paper used an Encoder to build a time series forecasting model; back then, BERT still had its place.

Dongxi 东锡 NLP (@dongxi_nlp): Encoder 的卷土重来

BERT 本来是一条极有潜力的路线:高效地把输入压成 representation。但它停留在了 task-specific 时代,每个任务都需要微调。

GPT 早期同样如此,后来却沿着 scaling、in-context learning 和 instruction tuning 走向了 泛化,把自然语言变成 universal task

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