Global Journal of Computer Science and Technology, D: Neural & Artificial Intelligence, Volume 23 Issue 2

49. Rothman, Denis, “Transformers for Natural Language Processing: Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more”,Packt Publishing Ltd, 2021. 50. https://www.aiforanyone.org/glossary/stanford- research-institute-problem-solver#:~:text=STRIPS %20is%20a%20formalism%20used,in%20AI%20 applications%20since%20then. 51. https://cloud.google.com/learn/what-is-artificial- intelligence 52. https://www.investopedia.com/terms/a/artificial- intelligence-ai.asp 53. Goodfellow. I., Bengio. Y. and Courville. A., “Deep Learning “, MIT Press, 2016. 54. Josh Patterson, Adam Gibson "Deep Learning: A Practitioner's Approach", O'Reilly Media, 2017. 55. Ganguly Kuntal, “Learning generative adversarial networks: next-generation deep learning simplified”, Packt Publishing, 2017. 56. https://www.adl.org/resources/blog/six-pressing- questions-we-must-ask-about-generative-ai 57. https://www.cs.utexas.edu/users/mooney/cs343/slid es/pop.pdf 58. V Kishore Ayyadevara and Yeshwanth Reddy, “Modern Computer Vision with PyTorch: Explore Deep Learning Concepts and Implement Over 50 Real-world Image Applications”, 2020. © 2023 Global Journals Global Journal of Computer Science and Technology Volume XXIII Issue II Version I 36 ( ) Year 2023 D Journey of Artificial Intelligence Frontier: A Comprehensive Overview