来自MSN

从零学习大模型（6）——Transformer 结构家族：从 Encoder 到 Decoder，大 ...

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 ...
The Next Web

What’s the transformer machine learning model? And why should you care?

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 ...
VentureBeat

Microsoft’s Differential Transformer cancels attention noise in LLMs

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Improving the capabilities of large ...
Semiconductor Engineering

A HW-Aware Scalable Exact-Attention Execution Mechanism For GPUs (Microsoft)

A technical paper titled “Lean Attention: Hardware-Aware Scalable Attention Mechanism for the Decode-Phase of Transformers” was published by researchers at Microsoft. “Transformer-based models have ...