Google’s new neural-net LLM architecture separates memory components to control exploding costs of capacity and compute
Titans architecture complements attention layers with neural memory modules that select bits of information worth saving in the long term.
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Shrinking AI for personal devices: An efficient small language model that could perform better on smartphones
"PhoneLM follows a standard LLM architecture," said Xu. "What's unique about it is how it is designed: we search for the architecture hyper-parameters (e.g., width, depth, # of heads, etc.) ...