Transformer 架构的伟大之处，不仅在于提出了注意力机制，更在于提供了一套 “模块化” 的设计框架 —— 通过组合编码器（Encoder）和解码器（Decoder），可以衍生出多种结构变体。从 BERT 的 “纯编码器” 到 GPT 的 “纯解码器”，从 T5 的 “编码器 - 解码器” 到 ...

What Is An Encoder-Decoder Architecture? An encoder-decoder architecture is a powerful tool used in machine learning, specifically for tasks involving sequences like text or speech. It’s like a ...

This article is part of Demystifying AI, a series of posts that (try to) disambiguate the jargon and myths surrounding AI. (In partnership with Paperspace) In recent years, the transformer model has ...

As we encounter advanced technologies like ChatGPT and BERT daily, it’s intriguing to delve into the core technology driving them – transformers. This article aims to simplify transformers, explaining ...

This paper propose an improved method called the modified warm-up-free parallel window(PW) MAP decoding schemes to implement highly-parallel Turbo decoder architecture based on the QPP(Quadratic ...

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Dr. James McCaffrey of Microsoft Research uses the Hugging Face library to simplify the implementation of NLP systems using Transformer Architecture (TA) models. This article explains how to compute ...