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Field
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Project and Research Environment Large Language Models (LLMs) are increasingly used in legal question-answer contexts. It is now well known that answers may contain noise, for example, in the form of so
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, see the CertiFOX project page: https://www.bartbogaerts.eu/projects/CertiFOX/ Another long-standing objective is to develop methods by which we can explain the reasoning that leads to a certain
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, including Large Language Models (LLMs), have demonstrated significant potential for supporting decision-making, interpreting complex technical information, and improving human-machine interaction. However
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models, multimodal models, or biomedical/clinical language models Experience with reasoning models, agents, tool use, or compound LLM systems Experience with LLM post-training methods such as RLHF, RLAIF
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: https://www.list.lu/ How will you contribute? You’ll be working on a production-grade Retrieval-Augmented Generation (RAG) system purpose-built for second-level controls on NAV computation in investment
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research and teaching staff are world leading and world building as they advance knowledge and learning. For more information on our school go to the following link - https://www.unsw.edu.au/engineering/our
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generation and multimodal LLM will be advantageous. Key Competencies Proficiency in programming languages (e.g., Python and C++), and familiarity with AI frameworks (e.g., PyTorch). Self-directed learner who
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to research in linguistics (lexicon, grammar, discourse), language modeling, NLP and LLMs. The Montrouge hub of HéLiCéO is coordinated by Alexandre François, a linguist specializing in the typology
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Support development of utilizing artificial intelligence (AI) and large language models (LLM) systems as a reference for troubleshooting. Display the highest levels of personal integrity, professionalism
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, covering areas such as LLMs, generative AI models, computational biology, and the analysis of high-dimensional neural and behavioral data. The Fellowship is intended for early-stage scientists and will