Unveiling the evolution of generative AI (GAI): a comprehensive and investigative analysis toward LLM models (2021–2024) and beyond

Abstract

Abstract This comprehensive exploration of recent breakthroughs in artificial intelligence (AI) traversed the realms of language models, computer vision, and generative models, unraveling the intricacies of cutting-edge technologies such as GPT-3.5, GPT-4, Pix2Seq, and multimodal models in terms of generative AI. In this multifaceted journey, the focus extended beyond technological prowess to ethical considerations, emphasizing responsible AI practices guided by Google's AI Principles. The nuanced discussions encapsulated the transformative impact of AI on user experiences across various Google products and toolsets, paving the way for a future where natural language interaction, creative content generation, and multimodal understanding redefine human–computer interactions. The research investigation showcased not only the advancements themselves but also the critical lens through which these innovations are approached, underscoring the importance of ethical and responsible AI in shaping the technological landscape.

Keywords

• Artificial intelligence (AI)
• Computer vision
• Deep learning (DL)
• Generative artificial intelligence (GAI)
• Large language models (LLM)
• Machine intelligence