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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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, load and constraints, find the composition of gears that realises it. Constraint solving and MCTS as the baseline; a learned transition/value model for ranking and pruning; LLM proposals treated strictly
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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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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 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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, 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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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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collaboration among partners.Research Conduct literature reviews. Support data collection and analysis. Develop and evaluate NLP algorithms and models. Relevant NLP tasks include: ASR, (local) LLMs, open-domain
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to industry and developments with Deep Learning (DL), Computer Vision (CV), Transformers, Large Language Models (LLMs), Natural Language Processing (NLP). Mandatory requirements • Bachelor's degree
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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