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Lost in the middle: How LLM architecture and training data shape AI's position bias

Research has shown that large language models (LLMs) tend to overemphasize information at the beginning and end of a document or conversation, while neglecting the middle. This "position bias" means ...
Semiconductor Engineering

Scheduling Architecture Integrated With M3D BEOL Memories For LLM Inference (Georgia Tech, Samsung)

A new technical paper titled “Architecting Long-Context LLM Acceleration with Packing-Prefetch Scheduler and Ultra-Large Capacity On-Chip Memories” was published by researchers at Georgia Institute of ...
VentureBeat

'Western Qwen': IBM wows with Granite 4 LLM launch and hybrid Mamba/Transformer architecture

IBM today announced the release of Granite 4.0, the newest generation of its homemade family of open source large language models (LLMs) designed to balance high performance with lower memory and cost ...