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logic (backend). Integration of LLM APIs and other services (e.g., databases, cloud systems). Designing and developing scalable and efficient systems. Collaborating on the development and testing of AI
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computational and energy costs of LLMs, this work will focus on smaller, domain-specific models. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR8254-SYLDES-026/Default.aspx Requirements
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advanced data relationships. 5. Lead the research, development, fine-tuning, evaluation, and benchmarking of large language models (LLMs) to support automated decision-making and intelligent
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National Institute for Materials Science (NIMS) | JP Nagar III Phase, Karnataka | India | 3 months ago
-edge technologies, such as Large Language Models (LLMs) and AI agents, with domain expertise in materials science. We expect candidates not only to utilize existing AI tools but to design and develop
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, national laboratories, semiconductor manufacturers, equipment vendors, and other industry partners. Research directions may include machine learning (ML), deep learning (DL), large language models (LLMs
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Modeling: Design, train, and validate generative machine learning models (GANs, VAEs, diffusion models, and LLM-based tabular synthesizers) to generate high-fidelity synthetic tabular, longitudinal, and
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, global health, and artificial intelligence-assisted systems modeling. More information about the lab and its projects is available at https://gyorilab.github.io. About Khoury College We invite you to join
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developing new modeling strategies that can integrate heterogeneous public data into model development. Another major research interest is the use of large language model (LLM) techniques to generate highly
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: https://www.cu.edu/employee-services/benefits-wellness . Why work for the University? We have AMAZING benefits and offer exceptional amounts of holiday, vacation and sick leave! The University of Colorado
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combinations that support the creation of innovative and sustainable food products. Another example is using large language model (LLM) tools to automatically extract and structure fragmented information from