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this area in a way that is both practical and does not incur in large complexity, the scholarship holder will design and implement a key-value store (KVS) system that allows its users to explore the tradeoff
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building automated systems or ML pipelines – 15% Demonstrated experience implementing structured, scalable, or automated software systems. Evidence of experience with neural networks, LLMs, or training
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research projects will be considered.) Technical expertise in machine learning and model fine-tuning – 10% Demonstrated experience with neural network training, loss function design, embedding-based models
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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
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models (LLMs) to perform complex reasoning. In fact, such reasoning abilities emerge naturally in sufficiently large language models via a simple method called chain-of-thought (CoT) prompting, where a few