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  2. How do LLMs work? Next Word Prediction with the Transformer Architecture Explained

    How do LLMs work? Next Word Prediction with the Transformer Architecture Explained

    63
  3. Unpacking 'Attention Is All You Need' - The Transformer Model Explained

    Unpacking 'Attention Is All You Need' - The Transformer Model Explained

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  4. How Does an Electrical Service Work? Electrical Service Panels Explained

    How Does an Electrical Service Work? Electrical Service Panels Explained

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    183
  5. IEEE 802.15.4 Wireless Personal Area Networks - EUI-64 JAB MAC Addresses Explained

    IEEE 802.15.4 Wireless Personal Area Networks - EUI-64 JAB MAC Addresses Explained

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    4.01K
  6. Transformer Memory as a Differentiable Search Index (Machine Learning Research Paper Explained)

    Transformer Memory as a Differentiable Search Index (Machine Learning Research Paper Explained)

    9
  7. What's Inside A Microwave Oven? || How To Dispose A Microwave Oven FAST And SAFE! Fully Explained

    What's Inside A Microwave Oven? || How To Dispose A Microwave Oven FAST And SAFE! Fully Explained

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  8. DeBERTa: Decoding-enhanced BERT with Disentangled Attention (Machine Learning Paper Explained)

    DeBERTa: Decoding-enhanced BERT with Disentangled Attention (Machine Learning Paper Explained)

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    39
  9. Retentive Network: A Successor to Transformer for Large Language Models (Paper Explained)

    Retentive Network: A Successor to Transformer for Large Language Models (Paper Explained)

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  10. DINO: Emerging Properties in Self-Supervised Vision Transformers (Facebook AI Research Explained)

    DINO: Emerging Properties in Self-Supervised Vision Transformers (Facebook AI Research Explained)

    26
  11. ROME: Locating and Editing Factual Associations in GPT (Paper Explained & Author Interview)

    ROME: Locating and Editing Factual Associations in GPT (Paper Explained & Author Interview)

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  12. Insurance Fraud Attempt Defeated

    Insurance Fraud Attempt Defeated

    70
  13. Pretrained Transformers as Universal Computation Engines (Machine Learning Research Paper Explained)

    Pretrained Transformers as Universal Computation Engines (Machine Learning Research Paper Explained)

    29
  14. MLP-Mixer: An all-MLP Architecture for Vision (Machine Learning Research Paper Explained)

    MLP-Mixer: An all-MLP Architecture for Vision (Machine Learning Research Paper Explained)

    132
  16. ∞-former: Infinite Memory Transformer (aka Infty-Former / Infinity-Former, Research Paper Explained)

    ∞-former: Infinite Memory Transformer (aka Infty-Former / Infinity-Former, Research Paper Explained)

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  17. Expire-Span: Not All Memories are Created Equal: Learning to Forget by Expiring (Paper Explained)

    Expire-Span: Not All Memories are Created Equal: Learning to Forget by Expiring (Paper Explained)

    27
  19. Transformer Neural Networks EXPLAINED!

    Transformer Neural Networks EXPLAINED!

    3
  20. GLOM: How to represent part-whole hierarchies in a neural network (Geoff Hinton's Paper Explained)

    GLOM: How to represent part-whole hierarchies in a neural network (Geoff Hinton's Paper Explained)

    58
  21. FNet: Mixing Tokens with Fourier Transforms (Machine Learning Research Paper Explained)

    FNet: Mixing Tokens with Fourier Transforms (Machine Learning Research Paper Explained)

    21
  22. CM3: A Causal Masked Multimodal Model of the Internet (Paper Explained w/ Author Interview)

    CM3: A Causal Masked Multimodal Model of the Internet (Paper Explained w/ Author Interview)

    66
  24. Fastformer: Additive Attention Can Be All You Need (Machine Learning Research Paper Explained)

    Fastformer: Additive Attention Can Be All You Need (Machine Learning Research Paper Explained)

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