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Llama 4 Scout: Understanding the 10M Token Context Length
#Llama #Scout #10M #Token #Context #Length #EXPLAINED
NEW Lama 4 Scout applies two new AI methods for scaling the softmax function ( @UTokyoScience / The University of Tokyo) and an optimized layer configuration of RoPE and NoPE layer with normalization ( @CohereAI ) to achieve a long context window for the latest Llama 4 model. 10M token length. But can Llama 4 Scout reason about the context length?
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“The Llama 4 herd: The beginning of a new era of natively multimodal AI innovation”
published April 5, 2025 by META
from META Blog
#airesearch
#meta
#llama4
#reasoning
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