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language models (LLMs), generative AI, and cancer informatics. Projects may include training and fine-tuning domain-specific LLMs for clinical document summarization, treatment recommendation reasoning
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(LLM). Main activities The topic of natural language access to knowledge graphs is gaining a growing attention both in top international academic conferences and in international industrial conferences
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
, designing natural language interfaces for more intuitive navigation of the BDC environment, creating BDC-specific foundation models, and enabling large language models (LLM) and machine learning-based
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Your Job: Lead the development and fine-tuning of AI models and LLMs specifically tailored for data mining in the physical sciences and engineering Fine-tuning and evaluation of open-source LLMs
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into the ethical governance of Large Language Models (LLMs), as part of the prestigious Divirsibus Vis Plurima Solvo project. The position is full-time and fixed term for 41 months or to the funding end date of 30
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into the ethical governance of Large Language Models (LLMs), as part of the prestigious Divirsibus Vis Plurima Solvo project. The position is full-time and fixed term for 41 months or to the funding end date of 30
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-ray & CT Extend saliency, CAM and LLM-generated natural-language explanations to multi-image, multi-modal inputs Validate on real-world datasets from consortium partners in neuro-MR, digital pathology
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. There will be three research fellows appointed in different stages of the project. For this post, the successful candidate will primarily focus on developing LLM agents to support effective theory of mind
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, and enabling data-driven improvements in patient care. You will have opportunities to apply foundation models—including large language models (LLMs) to real-world clinical data. You will work with well
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of Computer Science and Information Technology, to work on Insight Platform research in the area of LLMs and constraints – verifiable, reliable generative AI. In addition, the researcher may contribute to various other