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objectives to be achieved: The scientific work to be developed consists of: Software Architecture and Operations (MLOps)Investigate strategies to coordinate multiple specialized language models (core LLMs
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to be developed consists of: Architecture and Delivery of AI Infrastructure:Develop the hardware and software architecture for the training, fine-tuning and implementation of Large-Scale Language Models
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Preparation of the Technological Infrastructure:Design, configure and optimize the hardware and software infrastructure necessary for the training, fine-tuning and deployment of LLMs on a large scale; Explore
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data analysis tools. Knowledge and training in the development of communication initiatives through social networks. Organisational capacity to support project management. Publications and communications
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tables A.1.1. and A.1.2. established in the minutes of defining criteria), with a weighting of 60%; A.1.1: Classifications of the academic degrees, with a weighting of 50%; A.1.2: Area of study of
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that the performance and pedagogical adequacy of the Portuguese Large Language Model (LLM) AMALIA depend on its articulation with the national curriculum defined by the Ministry of Education, Science and Innovation
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that align with the communication personas defined for each school year. Adaptive Conversational UX Research:Investigate how shift management, silent handling, and subject resumption strategies can be adjusted
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training of the course and the grades of the academic degrees (using tables A.1.1. and A.1.2. defined in the minutes of criteria), with a weighting of 50%; A.1.1: Area of training of the course, with a
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training of the course and the grades of the academic degrees (using tables A.1.1. and A.1.2. defined in the minutes of criteria), with a weighting of 50%; A.1.1: Area of training of the course, with a
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of 0 to 20 values: Applicant Merit - AM (100%) A.1: Academic path, which reflects the area of training of the course and the grades of the academic degrees (using tables A.1.1. and A.1.2. defined in