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Cambrian explosion of generative models
Practical AI: Machine Learning, Data Science, LLM
The Future of Model Architectures
I find this trend kind of interesting. As you scale up your data set, you're going to get diminishing returns on the performance of that model. So what's a natural way to improve output, but combining multiple models, a pipeline together? Now, I think that you'll see probably advances in architectures. Different model architecture will continue to come out and maybe break some of that trend.
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