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Is there any evidence that the bias terms help in the attention mechanism of the transformers?

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Which model should I apply on sequential data?

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Which NLP applications are based on recurrent neural networks?

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Are there any papers explaining why one-hot encoding outperforms random orthogonal encoding in CNN?

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How to more accurately classify into different classes using CNN?

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Is there a difference in the architecture of deep reinforcement learning when multiple actions are performed instead of a single action?

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Master theorem about polynomial classifiers?

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How is the noise in the forward process in Denoising Diffusion Probabilistic Models computed?

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How can I reduce combinatorial explosion in an MCTS-like algorithm for program induction?

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I'm trying to train an AI but I have low accuracy using rust and pytorch

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Why does ChatGPT go on unending rambles when asking it certain prompts?

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How do transformer models handle negation in sentiment analysis

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How does retroduction contrast with induction?

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Why LLM models when asked for a software bug fix introduced changes in unrelated parts by default?

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