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FEEL THE AGI: LLM and AI Agent

LLM and Agent, the fundamental technologies behind AI like ChatGPT. LLM is the technology that has come closest to AGI at this point in time. In this lecture, we explore LLM and Agent technologies from a general public perspective.

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  • Feel The AGI
AI
llm
Agent
LLM
AI Agent

What you will learn!

  • LLM & Agent Technology from a General Public Perspective

  • Learn LLM and Agent technologies through hands-on participatory missions

FEEL THE AGI

There are many famous sayings in the AI industry. Most of them come from industry celebrities, impressive articles, or landmark papers. One of the representative slogans is FEEL THE AGI.

The meaning of this phrase, when interpreted literally, is "Feel the AGI?" or "Try feeling the AGI?" First, we need to understand what AGI means, right? AGI stands for Artificial General Intelligence, which means artificial general intelligence.


What is artificial general intelligence? The definition and capabilities of artificial general intelligence are defined and interpreted differently by AI companies and individuals. In my opinion, AGI, to put it simply, is artificial intelligence that possesses capabilities and intelligence indistinguishable from humans and can interact with humans and navigate the world.


How did this phrase become famous? It became widely known to the public when reports emerged that former OpenAI Chief Scientist Ilya Sutskever chanted "Feel the AGI" with employees at the 2022 year-end party. Since then, whenever there were model performance jumps, the expression "Feel the AGI moment" has been used as a phrase to summarize test reviews, further expanding its usage. Now it has established itself as an expression commonly used in the AI industry.

Generated by Google Nano banana

Why should we feel AGI?

So why do AI companies and industry professionals often tell us to experience AGI? Understanding why AGI is important to them helps us grasp the reason. No, AGI isn't just an important concept for AI companies and industry workers alone. AGI is humanity's most important invention that will bring massive changes to the lives and values of all humanity, and its impact will be beyond imagination.


Think about it simply. Even if your family, lover, friends, and colleagues were actually not human but androids equipped with AGI inside, you wouldn't be able to distinguish the difference. And all the things that only humans could do, the abilities that distinguished humans from other living beings, would be given to artificially created and replicable beings. If such AGI emerges, it's fascinating to think about how humanity would change.


Technology that lets you feel AGI, LLM

From the 1950s, when Alan Turing proposed the theoretical foundation of artificial intelligence, until the 2010s, the development of AI technology that could give us a sense of AGI was minimal. However, after the Transformer emerged in 2017 and OpenAI released GPT-1, the first large-scale language model (LLM) adopting the Transformer architecture in 2018, LLMs gradually began to advance. The period when the public could easily access the capabilities of LLMs began in 2022, when OpenAI launched ChatGPT, a product that uses AI in a conversational format, along with the GPT-3.5 model.


Since then, LLMs have shown tremendous development speed and capability improvements, greatly impacting our lives. Now, LLMs are evolving into Agents - entities that can independently observe the world, make plans, and take action. As LLM and AGENT technologies advance further and new technologies are integrated, humanity will soon be able to achieve AGI.


A course created by actively utilizing LLM and AI technology

This course was created to help general audiences without experience in computer science, machine learning/deep learning, or related academic/industrial fields understand LLM and Agent technologies from a conceptual perspective. It avoids complex mathematical formulas, explains computer/AI-related technical terms in detail or replaces them with simpler everyday words, and uses examples commonly encountered in daily life.


Additionally, this course is a text-based course, and most of the lesson content and mission texts in this course were written using the gemini-2.5-pro model. The videos were generated using Google NotebookLM. The parts of this course that were not written or created by AI are the course introduction text itself and the curriculum structure.


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Who is this course right for?

  • People curious about the trending LLM & Agent technologies these days

  • Someone who wants to solve various difficult and thought-provoking missions

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84 lectures ∙ (2hr 22min)

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