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Martin Loretz
Hey, I'm just a human trying to figure out how this universe works. I love engineering and building stuff, like a computer out of logic gates, a screaming plant or a motorized bobbycar. I'm interested in physics, rockets, artificial intelligence and molecular biology.
Blog
Accelerate CPU based LLM Inference with a Vector Index on the Output Embeddings (up to 28% for llama 3.2 1B)
15/01/2025 - The input and output embedding layers of transformer-based LLMs are massive. For example, GPT-2's embeddings make up 38.5M out of 124M total parameters.
Exploring the activation ratios of different MLP layers
21/09/2024 - I've become interested in understanding how many neurons in a layer (Linear + ReLU) actually contribute to the next layer versus those that remain inactive after the activation function.
Polynomials as weights and activations for MLP's
03/05/2024 - I recently read the Kolmogorov-Arnold Networks paper and I'm fascinated by the idea of moving from fixed activations on the nodes of a MLP to learned ones at the edges. Combined with some other thoughts, I applied this idea to image classification and in this process came up with the idea of polynomial MLP's.
Random thoughts:
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If you shake a box of lego long enough, at some point it will be assembled by chance.
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Life 4.0 will be able to rewrite the universe by exploiting the simulation and changing the rules of physics.
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I think turing was right in the sense that if you can't tell a difference, there is no difference.