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Developer implements Transformer architecture from scratch in PyTorch

By PulseAugur Editorial · [1 sources] ·

A user has implemented the Transformer architecture from scratch using PyTorch, sharing their code on Reddit's r/MachineLearning. The current implementation uses only two encoder and decoder layers and was trained on a small vocabulary of 1,000 words, resulting in suboptimal predictions. The user is seeking advice on how to reduce training time and improve the model's performance. AI

IMPACT Provides a practical, albeit basic, implementation of a foundational AI architecture for educational purposes.

RANK_REASON User-implemented research project shared on a forum. [lever_c_demoted from research: ic=1 ai=1.0]

Read on r/MachineLearning →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Developer implements Transformer architecture from scratch in PyTorch

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User-implemented research project shared on a forum. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. r/MachineLearning TIER_1 English(EN) · /u/Jumbledsaturn52 ·

    I made Transformer Architecture from scratch [P]

    <table> <tr><td> <a href="https://www.reddit.com/r/MachineLearning/comments/1xdctou/i_made_transformer_architecture_from_scratch_p/"> <img alt="I made Transformer Architecture from scratch [P]" src="https://external-preview.redd.it/e60scNGjES_mYkYPKI3XA-81pS3mfwg7hODdcEVLwwM.png?…

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