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cs.NE2024
Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture
Thomas F Burns, Tomoki Fukai, Christopher J Earls
Large language models (LLMs) demonstrate an impressive ability to utilise information within the context of their input sequences to appropriately respond to data unseen by the LLM…
cs.CY2024★ 1 cited
Generative AI Policy and Governance Considerations for Health Security in Southeast Asia
Thomas F Burns
Southeast Asia is a geopolitically and socio-economically significant region with unique challenges and opportunities. Intensifying progress in generative AI against a backdrop of…
cs.NE2024
Semantically-correlated memories in a dense associative model
Thomas F Burns
I introduce a novel associative memory model named Correlated Dense Associative Memory (CDAM), which integrates both auto- and hetero-association in a unified framework for continu…