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This paper presents a Large Language Model (LLM) based conversational agent system designed to enhance human-machine collaboration in Machine Learning Operations (MLOps).
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G. Fatouros, G. Makridis, D. Kotios, J. Soldatos, M. Filippakis, and D. Kyriazis, “DeepVaR: a framework for portfolio risk assessment leveraging probabilistic deep neural networks,” Digital finance , vol. 5, no. 1, pp. 29–56, 2023, publisher: Springer
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G. Fatouros, G. Makridis, A. Mavrogiorgou, J. Soldatos, M. Filippakis, and D. Kyriazis, “Comprehensive architecture for data quality assessment in industrial iot,” in 2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT) . IEEE, 2023, pp. 512–517
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A. Kiourtis, A. Mavrogiorgou, G. Makridis, D. Kyriazis, J. Soldatos, G. Fatouros, D. Ntalaperas, X. Papageorgiou, B. Almeida, J. Guedes et al. , “Xr5. 0: Human-centric ai-enabled extended reality applications for industry 5.0,” in 2024 36th Conference of Open Innovations Association (FRUCT) . IEEE, 2024, pp. 314–323
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G. Fatouros, K. Metaxas, J. Soldatos, and D. Kyriazis, “Can large language models beat wall street? evaluating gpt-4’s impact on financial decision-making with marketsenseai,” Neural Computing and Applications , pp. 1–26, 2024
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V. Katevas, G. Fatouros, D. Kyriazis, and G. Kousiouris, “Embedding automated function performance benchmarking, profiling and resource usage categorization in function as a service devops pipelines,” Future Generation Computer Systems , vol. 160, pp. 223–237, 2024
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