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TEC. 2. OBJECTIVES: - broaden knowledge of the state of the art in the scientific field of DevOps Cloud Architectures, Infrastructure as Code (IaC) and on-demand, intelligent configuration of self
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for tabular data, focusing on fairness and attribute consistency.; Try LLMs – Use open-source LLMs with prompts adapted for generating tables.; Compare quality – Check how well the synthetic data matches real
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-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: Electricity markets modelling; Self-consumption and impact on wholesale market ; Write technical
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neural networks, enabling us to estimate the reliability of a single decision of this algorithm. Regarding generalisation, recent self-supervised learning paradigms have strong synergies with the multi