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Stig Brøndbo 14th April 2025 Languages English English English Faculty of Science and Technology PhD fellow in “LLMs based Knowledge Graphs towards Digital Twin Development in Green Shipping" Apply
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CSIRO Industry (iPhD) Scholarship - Advancing Medical Diagnosis with Multimodal LLM and Agnostic AI Agents This project investigates the use of agnostic AI and multimodal LLMs to improve medical
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address Dr Chunwei Xia: c.xia@leeds.ac.uk Co-supervisor’s full name & email address Professor Zheng Wang: z.wang5@leeds.ac.uk Project summary Large Language Models (LLMs) have profoundly transformed the way
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., StableDiffusion) and large language models (LLMs) based on the transformer architecture [6] (e.g., ChatGPT). In general, the above generative models need considerable amount of computational resources in terms
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address Dr. Chunwei Xia: c.xia@leeds.ac.uk Co-supervisor’s full name & email address Professor Zheng Wang: z.wang5@leeds.ac.uk Project summary Large Language Models (LLMs) have profoundly transformed
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Large Language Models (LLMs) are reshaping how we interact with language technologies, yet many questions remain about what these models actually “know” about language. The University of Exeter is
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three of the following areas: Python programming Develop LLM-based tools to automate data connector generation for data ingestion. Design and implement a multi-layered storage strategy for scalable PBM
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relevant to NLP and culturally inclusive AI safety for LLMs. Interested candidates should submit their CV, academic transcripts, and a brief research proposal (max 2 pages) outlining their background and
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-IEK3-VSA/FINE) . Furthermore, you will use and extend existing lightweight Large Language Models (LLMs) to assess future technological characteristics. Your tasks in detail: Using/Extending methods
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The project: The deployment of generative AI—particularly Large Language Models (LLMs) based on transformer architectures—in industrial settings poses several critical challenges. Ensuring reliable