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Lilian Weng updates Transformer architecture overview with new advancements

By PulseAugur Editorial · [2 sources] ·

Lilian Weng has updated her comprehensive blog post detailing the Transformer architecture and its numerous advancements since its initial introduction. The updated version, "The Transformer Family Version 2.0," significantly expands on the original, incorporating recent research and modifications to the foundational model. It delves into core concepts like attention, self-attention, multi-head self-attention, and the encoder-decoder structure, providing a detailed overview of how these components function and have been enhanced. AI

RANK_REASON Blog post summarizing and updating research on Transformer architectures.

Read on Lil'Log (Lilian Weng) →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Lilian Weng updates Transformer architecture overview with new advancements

COVERAGE [2]

  1. Lil'Log (Lilian Weng) TIER_1 English(EN) ·

    The Transformer Family Version 2.0

    <p>Many new Transformer architecture improvements have been proposed since my last post on <a href="https://lilianweng.github.io/posts/2020-04-07-the-transformer-family/"><ins>&ldquo;The Transformer Family&rdquo;</ins></a> about three years ago. Here I did a big refactoring and e…

  2. Lil'Log (Lilian Weng) TIER_1 English(EN) ·

    The Transformer Family

    <!-- Inspired by recent progress on various enhanced versions of Transformer models, this post presents how the vanilla Transformer can be improved for longer-term attention span, less memory and computation consumption, RL task solving, etc. --> <p><span class="update">[Updated …

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