Tag: LMU

The largest language models today have billions or trillions of parameters, most do not actually have neurons like biological brains.

So in summary, while the largest AI models may have trillions of parameters, equating these directly to biological neurons is not accurate. The advanced AI capabilities arise from massively layered mathematical functions, not real brain-like biological complexity. The goal is to mimic aspects of cognition, not precisely replicate the brain. How many billions of parameters…

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Comparison of the Legendre Memory Unit (LMU) and the Generative Pre-trained Transformer (GPT)

The Legendre Memory Unit (LMU) and the Generative Pre-trained Transformer (GPT) are two different architectures used in the field of machine learning. While they both have memory-related components, they serve different purposes and are used in different contexts. Purpose and Function: Memory Mechanisms: Training Approach: Applications: In summary, the LMU and GPT are different architectures…

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