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  1. Transformer Neural Networks EXPLAINED!

    Transformer Neural Networks EXPLAINED!

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  3. LLMs, Transformers & Neural Networks: Learning & Creating With The Top Machine Learning Tools

    LLMs, Transformers & Neural Networks: Learning & Creating With The Top Machine Learning Tools

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  4. Problem Solving Machines: Transformers, Neural Networks & LLMs Are Massive Leaps In Computer Ability

    Problem Solving Machines: Transformers, Neural Networks & LLMs Are Massive Leaps In Computer Ability

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  7. 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)

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  8. FREE FULL COURSE Text Mining and Natural Language Processing in Python

    FREE FULL COURSE Text Mining and Natural Language Processing in Python

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  9. 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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  10. We Tried 100 NEW AI Tools: Here are the TOP 10

    We Tried 100 NEW AI Tools: Here are the TOP 10

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  12. 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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  13. 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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  16. MIT 6.S191: Recurrent Neural Networks, Transformers, and Attention

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

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  18. Exploring Alternatives to Transformers in AI

    Exploring Alternatives to Transformers in AI

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  20. Machine Translation in Argos Translate (2021)

    Machine Translation in Argos Translate (2021)

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

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

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

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

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