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Generative AI: The Impact, Possibilities, and Difficulties
Abstract
For nearly 50 years, artificial intelligence (AI) has been a technology and a field of study. Its advancement had been conflicting and differed after some time. Due to the development of intriguing AI applications like Alpha Go and Alpha Fold, large data sets, advancements in the internet and semiconductors, the most significant development in machine learning and deep learning occurred in the 2000s. Generative AI models have recently gained a lot of popularity. AI has become a household name thanks to massive language models like GPT (generative pre-trained transformer) and tools like Midjourney and ChatGPT. Microsoft and Google have been incorporating these models into their enterprise and search offerings as generative AI has had a significant impact on everyday life. The part dug into the potential outcomes and difficulties related to the condition of generative computer-based intelligence around then and investigated its future. Additionally, it offered recommendations for generative AI-using businesses.
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