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Large Language Models (LLMs), integrating dataset expansion, evaluation, incremental fine-tuning, and security-aware code generation validation. The student will build an integrated pipeline that reuses
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JavaScript code using contrastive learning with a tailored security-aware loss function. The student will fine-tune selected models using secure-insecure code pairs derived from Tasks 1 and 2 and evaluate
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Computer Science and Engineering Experience on programming languages such as Python, Java and Go Knowledge of cyber security techniques for overlay networks EVALUATION CRITERIA The selection will be based
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: OBJECTIVES | FUNCTIONS Create a Local Area Network in which laboratory equipment has fixed IP addresses - Use SCPI (Standard Commands for Programmable Instruments) commands accepted by each laboratory device