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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LLM Reasoning Redefined: The Diagram of Thought Approach
The Diagram of Thought framework redefines reasoning ... The DoT framework fills these gaps seamlessly by embedding reasoning within a single LLM, using a DAG structure to represent and refine ...
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Meta Open-Sources Byte Latent Transformer LLM with Improved Scalability
Meta open-sourced Byte Latent Transformer (BLT), an LLM architecture that uses a learned dynamic scheme for processing patches of bytes instead of a tokenizer. This allows BLT models to match the ...
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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.) ...