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  1. MIT 6.S191: Recurrent Neural Networks, Transformers, and Attention Ava Amini 2025

    MIT 6.S191: Recurrent Neural Networks, Transformers, and Attention Ava Amini 2025

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  15. MIT 6.S191: Recurrent Neural Networks, Transformers, and Attention

    MIT 6.S191: Recurrent Neural Networks, Transformers, and Attention

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  16. What is ChatGPT 4.0 ? why this is good so far

    What is ChatGPT 4.0 ? why this is good so far

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  17. HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning (w/ Author)

    HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning (w/ Author)

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  19. RWKV: Reinventing RNNs for the Transformer Era (Paper Explained)

    RWKV: Reinventing RNNs for the Transformer Era (Paper Explained)

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  20. Exploring Alternatives to Transformers in AI

    Exploring Alternatives to Transformers in AI

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  21. 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)

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  22. What is Chat GPT 4 : OpenAI GPT4 Prediction GPT-4

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  24. Predicting the rules behind - Deep Symbolic Regression for Recurrent Sequences (w/ author interview)

    Predicting the rules behind - Deep Symbolic Regression for Recurrent Sequences (w/ author interview)

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