Krishna Yatin Thakkar

Abstract

Natural Language Processing (NLP) has seen tremendous advancements with the development of Generative Pretrained Transformer (GPT) models and their conversational variant, ChatGPT. These language models have been shown to generate contextually appropriate and coherent responses to natural language prompts, making them highly useful for various NLP applications. However, there are still limitations to their performance and understanding these limitations is crucial for their effective utilization. This paper presents a comprehensive analysis of the capabilities and limitations of GPT and ChatGPT, covering their architecture, training processes, and evaluation metrics. The study also evaluates the performance of these models on various NLP tasks, including language translation, question-answering, and text summarization. The results reveal that while these models excel in certain tasks, they still face challenges in understanding context, generating diverse responses, and handling rare or out-of-domain inputs. The study concludes by discussing potential solutions and future research directions for improving the performance of GPT and ChatGPT in NLP applications. Keywords: Natural Language Processing, Generative Pretrained Transformer, ChatGPT, their architecture, training processes, evaluation metrics Solutions

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Abstract

This review paper explores the profound impact of Artificial Intelligence (AI) on Human Resources (HR) practices and employee experience. With the rapid advancement of AI technologies, organizations are increasingly integrating AI-driven solutions into various HR functions. This paper provides a comprehensive examination of the current state of AI adoption in HR, delving into its implications for recruitment, training, performance management, and employee engagement. Additionally, it explores the effects of AI on the overall employee experience, including job satisfaction, well-being, and work-life balance. The review identifies the benefits, challenges, and ethical considerations associated with the integration of AI in HR practices. Finally, future directions and recommendations are provided for organizations and HR professionals seeking to navigate the evolving landscape of AI in the workplace. Keywords: Artificial Intelligence, HR practices, Employee experience, AI adoption, Recruitment, Training, Performance management, Employee engagement, Job satisfaction, Well­being, Ethical considerations

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