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a postdoctoral associate to develop methods and metrics for evaluating how consultation with large language models affects analytical work products and team interaction patterns in complex information
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the spatial reasoning capabilities of multi-mode large language models and hybrid AI systems combining artificial neural networks with symbolic AI. In-house research and development of one of these systems
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and their analytical frameworks. 2. Development of mechanisms for tuning Large Language Models (LLMs) and multi-modal foundation models to function effectively in resource-constrained environments. 3
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Large Language Models (LLMs). The position will also involve creating quantitative evaluation frameworks to assess the quality, realism, and reliability of generated data, as well as integrating graph
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environment Occasional meetings at different locations in the community may be required; travel to conferences and/or recruiting events may be required in a typical office environment. Benefits: https
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) are looking to hire a post-doctoral associate to carry out joint research in resilience of neural networks, including large language models (LLMs) and other generative AI systems and foundation models
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skills, e.g. Python and/or a major language in the C family, are required. Familiarity and/or strong interest in mastering deep learning is essential. The position is based in Utica, NY. Job
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topics covered are: DSA 504: Data Analytics Tools. Practical script language programming for data analytics and data management. Topics include R programming, Python programming, operating system shell