An AI that understands Korean well, handles long documents, and even carries out real-world tasks—that is exactly the direction Solar Open 2 is aiming for. This class provides an accessible explanation of Upstage’s Solar Open 2 technical report in the order of “Introduction → Design → Training → Evaluation.” Technical terms are explained through everyday analogies and visual materials, enabling even beginners to understand “what,” “how,” and “why” as one coherent flow.

Many people use ChatGPT and frequently hear news about recommendation systems or autonomous driving, but they find themselves at a loss for words when trying to explain "why it works this way." If you only follow coding lectures, the code runs but the principles remain a mystery; if you only take math lectures, you see the formulas but can't connect them to AI. Overseas lectures are burdened by the language barrier, while domestic introductory courses often lean too heavily on practice alone. I have seen the same scene repeated over and over while building actual models in AI competitions and meeting thousands of learners while running "Everyone's AI." The point where people get stuck isn't how to use the tools, but the moment when functions, derivatives, vectors, and backpropagation feel disconnected from one another. This course connects those dots. From the basics of mathematics to neural networks and softmax, it explains in a single flow how functions define inputs and outputs, how derivatives determine the direction of learning, and how backpropagation transmits errors. This is a class designed to make you understand the "why" through formulas and intuitive illustrations, rather than just memorizing equations or copying code. For those who want to truly understand AI, this will be a solid first step toward your next level in deep learning.