The article discusses the swift advancements in generative AI, particularly with the rise of tools like ChatGPT in early 2023. It identifies key factors contributing to its rapid integration into technology stacks and work practices, emphasizing two distinctive phases of development. Phase I centers around fundamental innovations like improvements in transformer models, which allowed AI to transition from solving limited, specific problems to functioning effectively in diverse domains. This transformation has not only altered how vendors approach product features but also significantly impacted workflow patterns across various industries.
The 2020s marked an era of fundamental AI innovation, enabling AI to operate in broader domains, moving from narrow problem-solving to versatility across various applications.
The rapid rise of AI tools like ChatGPT has changed workflow patterns significantly, causing many vendors to quickly integrate AI features into their products.
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