AI Technology for NoC Performance Evaluation

Bhowmik, Biswajit; Hazarika, Pallabi; Kale, Prachi; Jain, Sajal

doi:10.1109/tcsii.2021.3124297

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Cited by 13 publications

(1 citation statement)

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“…Evaluating the performance of conversational AI systems, including ChatGPT, requires the use of appropriate evaluation metrics [164].…”

Section: Evaluation Metricsmentioning

confidence: 99%

Unleashing the Potential of Conversational AI: Amplifying Chat-GPT’s Capabilities and Tackling Technical Hurdles

Hassija,

Chakrabarti,

Singh

et al. 2023

IEEE Access

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Conversational AI has seen a growing interest among government, researchers, and industrialists. This comprehensive survey paper provides an in-depth analysis of large language models, specifically focusing on ChatGPT. This paper discusses the architecture, training process, and challenges associated with large language models, including bias, interpretability, and ethics. It explores various applications of ChatGPT and examines future research trends, such as improving model generalization, addressing data scarcity, and integrating multimodal capabilities. This survey also serves as a roadmap for researchers, practitioners, and policymakers, offering valuable insights into the current state and future potential of large language models and ChatGPT.

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“…Evaluating the performance of conversational AI systems, including ChatGPT, requires the use of appropriate evaluation metrics [164].…”

Section: Evaluation Metricsmentioning

confidence: 99%