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axes: (1) application of vision-language models (VLMs) and large language models (LLMs) to document understanding and OCR, with a focus on multilingual and multi-script settings, including non-Latin
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these challenges? How can we equip AI assistants with the ability to recommend group learning activities? How can we evaluate and monitor the relevance of subtasks assigned to a non-transparent LLM-type model? What
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Dipartimento di Ingegneria dell'Informazione - Università degli Studi di Padova | Italy | about 21 hours ago
of processes and needs in manufacturing and service operations Development of LLM-based solutions (RAG and agents) to support operators and technicians. • Integration with enterprise/industrial data and systems
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, study, design, development and validation of advanced artificial intelligence solutions for the implementation of agentic systems based on LLMs, with particular reference to orchestration techniques and
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of Aston Law Clinic, contribute to SQE‑aligned teaching on our Masters in Law and Legal Practice (LLM), and assist the development of professional legal skills across our undergraduate and postgraduate
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staff to carry out activities related to research lines or scientific-technical services Ref. Interna F1030-7812 PID2022-139551NB-I00 Call for selection of research asistants https://sede.urjc.es
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Current large language models (LLMs), despite being
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compression in children’s developmental trajectories of learning word meanings, as well as communicative efficiency and human-alignment in LLMs. Job duties include: - Contributing to ongoing research projects
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LLM-agent-driven tools that reconstruct network topology, services, and administrator intent from partial information during crises, enabling rapid situational awareness across diverse, multi-vendor
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, recall, F1, correlation, agreement statistics) Experience with version control (Git) and collaborative coding practices HIGHLY DESIRED Experience with prompt engineering and LLM optimization Background in