Abstract: Deep state space model (DSSM) are a temporal model that is actively researched. It combines deep neural networks with classic state space model (SSM) so that it can be used for prediction ...
Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models ...
Abstract: Intermittent fault (IF) threatens the safety for modern dynamic systems severely. The target of this work is to swiftly detect the occurrence and relievement of IFs and accurately gauge ...
Objective: We aimed to develop, validate, and assess NeuroBot, an AI-driven system that uses large language models (LLMs) with retrieval-augmented generation to deliver timely, accurate, and ...
Context engineering is the discipline of managing the language model's context window. Unlike prompt engineering, which focuses on crafting effective instructions, context engineering addresses the ...
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