Large language models (LLMs) have evolved to become a cornerstone in the domain of text‐based content generation. They can produce coherent and contextually relevant text for a variety of applications, making them invaluable assets in today's digital landscape. One notable example is OpenAI’s GPT‐4, which reportedly ranked in the 90th percentile of human test takers on the Uniform BAR Examination, showcasing its advanced language understanding and generation capabilities. Generative AI tools (like ChatGPT, for example) may use LLMs, but also other kinds of large models (e.g., foundational vision models). These models serve as the backbone for many modern applications, facilitating a multitude of tasks that would otherwise require substantial human effort for building bespoke, application‐specific models. The capabilities of these models to understand, interpret, and generate human‐like text are not only pushing the boundaries of what's achievable with AI but also unlocking new avenues for innovation across different sectors. To reemphasize what's already obvious, Figure 1 shows Google Trends interest over time for the term Generative AI worldwide.
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