The lecture is good, but it seems like the materials were made using GPT. It would have been better if the materials were a little more refined.

qkstjrdl965038

We will learn step by step from the basic concepts of LLM (Large Language Model) to how to fine-tune the Llama 2 model, a high-performance LLM, on the dataset of your choice.

aischool

2025 추석맞이 감사할인

Large Language Model for Everyone LLM (Large Language Model) Part 1 - Try Fine-Tuning Llama 2

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이론 실습 모두

전이학습

딥러닝모델

AISchool

입문

초급

중급이상

대규모 언어 모델

메타 대규모 언어 모델

Llama

Deep Learning(DL)

파이토치

PyTorch

챗지피티

ChatGPT

Practice Guidelines

Lecture Slide Download

LLM (Large Language Model) Overview

Llama 1 Model Review

Llama 2 Model Review

Alpaca Model Review

Parameter-Efficient Fine-Tuning (PEFT)

Playing with Llama 2 - Fine-Tuning with KorQuad Dataset

Humanity's Strongest LLM - GPT Model Review

GPT Fine-Tuning through OpenAI API

Prompt Engineering

Performing Embedding with OpenAI API

Using OpenAI Text Generation API to Efficiently Utilize GPT

Creating ChatGPT Using OpenAI Assistants API

Llama 3 - Utilizing the Insanely High-Performance Open Source LLM Llama 3

Playing with Llama 3 - Fine-Tuning with KorQuad Dataset

Llama 3 Model Review

GPT-4o mini

NexusRaven

Llama 3.1

Using Llama 3.1

OpenAI o1

LLM Optimization

Llama 3.2

Llama 3.2 Vision

Evaluating LLM Performance

Llama 3.3

DeepSeek

LLM Moderation & LLM Guardrails

SWE-Lancer

OpenAI Responses API - A new API that integrates Chat Completions API and Assistants API (Released March 11, 2025)

SWE-bench Verified Dataset (Released 2024-08-13)

GPT-4.1 API (Released April 14, 2025)

OpenAI Codex (Released May 16, 2025)

gpt-oss (Released 2025-08-05)

GPT-5 API (2025-08-07 출시)