Identifying Variables that Improve Communication with Bots

Floyd, Schenita

doi:10.1109/ismcr47492.2019.8955720

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2023

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“…These models can assist in language translation, summarization, and information retrieval tasks, offering faster and more precise results. The development of large language models has significantly advanced the field of NLP, offering a promising pathway towards achieving improved human-machine communication [17].…”

Section: Introductionmentioning

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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Section: Introductionmentioning

confidence: 99%