Confused about LLM architectures? Ask a model. They’ll tell you.
Synapse and Neuron cells sending electrical chemical signals . 3D illustrationRight now, everyone is seeing a boom in the ways that people are innovating large language models.
Basically, these systems are constrained. Binary is a simple structure, a simple ‘yes’ or ‘no.’ More complicated 4-bit activations will provide more complexity.So are data scientists just putting 4-bit activations into the entire model?They’re adopting a policy of adding these differently structured activations to particular layers.
When you ask ChatGPT: ‘what is quantization in AI?’, you do get a couple of pages in response. However, you also get one succinct paragraph at the beginning, which starts out this way: “Inputs to the attention and FFN layers typically follow a Gaussian-like distribution, while activations before the FFN down projections and the output projections in attention have more outlier channels and massive amount of entries around zero.”
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