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dc.contributor.authorEcharte, Arantxa
dc.date.accessioned2025-06-19T10:16:33Z
dc.date.available2025-06-19T10:16:33Z
dc.date.issued2024
dc.identifier.urihttp://hdl.handle.net/10084/155862
dc.description.abstractDeliverable D1.3 Training Plan, developed under Task T1.4 of Work Package 1 (WP1) within the EXA4MIND project, outlines a comprehensive strategy for fostering a collaborative community that will drive innovation, knowledge exchange, and the widespread adoption of the project’s outcomes. The primary goal is to ensure the long-term impact, sustainability, and relevance of EXA4MIND technologies by engaging stakeholders such as researchers, industry professionals, policymakers, and end users. The training program includes diverse activities such as webinars, hands-on activities, and industry engagement sessions, designed to build expertise in areas like Extreme Data Mining, Large Language Models, and High-Performance Computing. Key training materials and resources will be delivered through the EXAKI self-service platform and other online and in-person events. Feedback mechanisms will ensure EXA4MIND considers continuous improvement and alignment with community needs. Through these initiatives, the EXA4MIND project aims to create a dynamic learning environment, empowering participants to implement cutting-edge technologies and fostering a vibrant community focused on advanced data analytics and innovation.cs
dc.format19 listů : ilustracecs
dc.languageNeuvedenocs
dc.language.isoencs
dc.rightsAttribution-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nd/4.0/*
dc.subjectextreme data miningcs
dc.subjectadvanced data analytics techniquescs
dc.subjectLarge Language Modelscs
dc.subjecthighperformance computingcs
dc.subjectresearch data managementcs
dc.subjectcutting-edge technologiescs
dc.subjectcommunitycs
dc.subjectinnovationcs
dc.subjecttrainingcs
dc.subjectworkshopscs
dc.subjectknowledge exchangecs
dc.titleD1.3 : Training Plancs
dc.typereportcs
dc.contributor.refereeKaragöz, Pinar
dc.contributor.refereeDerquennes, Marc
dc.description.placeofpublicationOstravacs
dc.rights.accessopenAccesscs
dc.type.versionsubmittedVersion


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Attribution-NoDerivatives 4.0 International
Kromě případů, kde je uvedeno jinak, licence tohoto záznamu je Attribution-NoDerivatives 4.0 International