Tag: auditory large language models
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AMMA: Low-Latency Memory-Centric Architecture for 1M Context
Discover AMMA, a multi-chiplet memory-centric architecture delivering 15.5X lower latency and 6.9X energy savings for 1M context attention in LLM serving.
CapKV: Efficient KV Cache Eviction via Info-Theoretic Method
Discover CapKV, a novel info-theoretic KV cache eviction method boosting memory efficiency and generational fidelity in large language models.
LLM Psychosis: Diagnosing Reality-Boundary Failures in AI
Explore LLM Psychosis, a framework diagnosing reality-boundary failures in large language models to improve AI reliability and safety.
Sociodemographic Biases in AI Educational Counselling
Explore how sociodemographic biases in large language models impact educational counselling and the need for equitable AI use in schools.
Generative AI Virtual Assistant for Bachelor Projects
Explore a generative AI virtual assistant using Retrieval-Augmented Generation to support bachelor projects with accurate, context-specific responses.