From a computational architecture perspective ... making these models more versatile and valuable for practical applications. Zero-shot/few-shot learning One standout advancement in LLMs has been ...
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.) ...
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