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State:
VIC
University:
RMIT University
Status:
Domestic Student
Discipline:
Engineering, IT, Mathematics and Statistics
Research Specialty:
Algorithm development, Artificial Intelligence, Computer Vision, Cost-Benefit Analysis, Data Architecture and Design, Data Visualisation, Digital Signal Processing, Electrical Engineering, Graphic Design, Internet of Things, Large Language Models, Machine Learning or Tensorflow Experience, Natural Language Processing, Programming, Risk Management, Software Development, System Modelling, Systems Modelling, Video Development/Editing, Web Development

Alex Jiǎng is a PhD candidate in Computer Science at RMIT. His thesis, Improving Token Efficiency by Compression, measures what AI systems really cost and provides statistical guarantees on when those savings are safe. He pairs rigorous quantitative analysis with stakeholder consultation, and he wants to apply these skills to an evidence-based volunteer workforce strategy.

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