The growing complexity of modern LLM architectures: From Llama to Nemotron
By
Ian
Summary
The article discusses how LLM architectures have evolved from the clean, simple Transformer stacks of Llama (2022-2023) to much more complex modern models like Nemotron 3 Ultra. It contrasts the straightforward LLM approach with the messy recommendation system graphs at Meta, noting that the industry has now made LLMs similarly complicated. The article references Seb Raschka's gallery of model architectures to compare Llama 3 and Nemotron 3 Ultra, and comments on how modern models use far more than just attention mechanisms.
Source
Hacker NewsThe growing complexity of modern LLM architectures: From Llama to Nemotronianbarber.blogKey quotes
· 3 pulledThe LLM work that led to Llama was a clean, smooth stack of repeated Transformer modules; the recommendation systems graphs were, by contrast, terrifying.
Luckily, the industry has remedied that state of affairs by making LLMs a lot more complicated.
Attention might be all you need, but modern models certainly use a lot of
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