The Evolution of AI: From Calculators to LLMs

AI is a tool that implements the functions of human intelligence in machines. The calculator, a simple computational tool, evolved into the computer with the invention of the transistor, which has now expanded into today's smartphones and various applications.

Machine learning, the core of modern AI, had the limitation of requiring humans to define features, but with the advent of deep learning, it leaped forward to a stage where patterns are found autonomously from data. AlphaGo is a symbolic example that demonstrated the performance of this deep learning.

Deep learning has also brought innovation to the field of natural language processing (NLP). Going beyond the limitations of statistics-based models, NMT (Neural Machine Translation) technology, which understands context, was introduced, and Naver's Papago proved AI's language processing capabilities by successfully commercializing it.

The AI of the future is moving beyond text toward Omnimodal models that comprehensively understand voice, images, video, and more. This is not simply a combination of functions, but signifies the formation of an intelligence that connects and understands various sensory information three-dimensionally, and reasons with it, just like humans.

However, in order to turn an excellent model into an actual service, the following factors are important:

• Usability: A user experience that resolves the inconvenience of input, like Papago's image translation technology
• Safety and Reliability: The ability to prevent data bias and provide information without distortion