Tag: #writtenbyme
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AI Safety – Hinton Lectures
Living in Toronto and working in AI how could I not go to a Geoffrey…
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Hang in there
I keep telling myselfI don’t have to rushEverything will come aroundBe patient and calm, I…
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Normalizing Data for ML : Methods and Lessons Learned
I ended up writing this article after digging into a tiny rabbit hole of stellar…
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Lagrangian I – Brief Review
This was a super quick derivation of Euler Lagrange Equation meant to be used as…
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Attention I – Review
References: https://arxiv.org/pdf/1706.03762 We’ll dive deeper into attention later in another blog
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RNN – Review
References: https://arxiv.org/pdf/1912.05911 https://arxiv.org/pdf/1808.03314 https://stanford.edu/~shervine/teaching/cs-230/cheatsheet-recurrent-neural-networks https://www.d2l.ai/chapter_recurrent-neural-networks https://www.geeksforgeeks.org/machine-learning/introduction-to-recurrent-neural-network
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Embeddings II – Combining hack
In Embeddings I we explored an LLM Embedding model, an idea of using this trained…
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