
모두를 위한 대규모 언어 모델 LLM(Large Language Model) Part 1 - Llama 2 Fine-Tuning 해보기
AISchool
LLM(Large Language Model)의 기초 개념부터 고성능 LLM인 Llama 2 모델을 내가 원하는 데이터셋에 Fine-Tuning하는 방법까지 차근차근 학습합니다.
Intermediate
LLM, Llama, 딥러닝
This is a lecture where you build your own MCP server using Cursor and experience vibe coding, which embodies the future of developers.
35 learners
Vibe Coding Method with Cursor
How to build my own MCP (Model Context Protocol) server
Coding the future of developer vibes!
Implementing your own MCP server using Vibe coding using Cursor
Learn a new development paradigm!
By implementing various MCP servers using Vibe coding using Cursor, you will naturally learn Vibe coding, a new development paradigm.
Anyone who is working in a programming-related job or wants to have a related job
Anyone who wants to learn Vibe Coding, a new development paradigm
Anyone who wants to make the most of the potential of LLM
For those who want to learn how to use Cursor
Q. Is player knowledge required?
This lecture [ The Future of Developers! Vibe Coding Using AI Part 1 - Creating My Own MCP Server Using Cursor ] covers how to implement my own MCP (Model Context Protocol) server using Vibe Coding using Cursor . Therefore, the lecture proceeds under the assumption that you have basic knowledge of Python and terminal usage .
Who is this course right for?
All developers wanting to keep pace and grow
All those working in or aspiring to work in programming-related jobs
Need to know before starting?
Python Basics (The lecture proceeds assuming you can understand basic Python code.)
Basic Terminal Usage (This lecture assumes familiarity with basic terminal commands such as ls, cd, etc.)
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39 lectures ∙ (10hr 40min)
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$51.70
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