Understanding Core LLM Theory Through Its Architecture -The Operating Principles of ChatGPT, RAG, and Agents at a Glance-
You use ChatGPT, but haven’t you found it difficult to explain why it produces answers like these? “I know terms like RAG, agents, and fine-tuning… but it’s difficult to explain them precisely.” “When I hear LLM-related terminology, I’m at a loss for words.” “Explanations of concepts in AI meetings are always vague.” This course was created specifically for people like you. This is a theory course designed to help you understand LLMs not as ‘tools,’ but as ‘structures.’ Rather than teaching you how to use ChatGPT or Gemini, it gives you a framework for explaining why they work the way they do.
198 learners
Level Beginner
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- Unresolved
강의자료를 받을 수 있게 해주시면 좋을 것 같아요
강의를 통해서 대략적인 LLM에 대해서 알게 되었는데요. 복습을 위해서 강의 자료를 공유 해주셨으면 좋겠어요
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7 months ago
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- Unresolved
강의자료를 받을 수 있나요?
복습을 할 수가 없네요...
chatgpt프롬프트엔지니어링llmragai-agentmingyu10299412
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7 months ago
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- Unresolved
강의자료
강의자료는 없나요
chatgpt프롬프트엔지니어링llmragai-agentkimcs4215
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7 months ago
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