sungjoon

You use ChatGPT,

but haven't you found it difficult to explain why you get certain answers?

"RAG, agents, fine-tuning... I know the terms but find it hard to explain them precisely"

"I'm at a loss for words when I hear LLM-related terminology"

"Explaining concepts in AI meetings is always vague"

This course was created specifically for people like you.

This course is a theoretical lecture designed to understand LLMs as a 'structure' rather than a 'tool'.
It's not about how to use ChatGPT or Gemini,
but about building a framework that allows you to explain why they work the way they do.

leejinkyu0612

얼리버드 할인

Understanding Core LLM Theory and Architecture -How ChatGPT, RAG, and Agents Work All at Once-

llm활용

맞춤형llm

llm성능평가및튜닝

llm이론

HappyAI

입문

초급

중급이상

챗지피티

ChatGPT

prompt engineering

대규모 언어 모델

검색증강생성

AI 에이전트

AI Agent

Lecture 1. Understanding the Basics of Generative AI and LLM

LLM Trends and Industry Insights

LLM Basic Operating Principles

Prompt engineering

RAG: Complementing the Limitations of LLMs

Understanding and Improving RAG Performance

Fine-tuning & Lightweight Tuning Strategies

Understanding and Utilizing LLM Agents

Latest Theories on MCP and A2A