The content is so rich and it is a lecture that I want to watch again and again.
Thank you so much for the lecture content.

hddstarcho2056

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

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

이론과 실습 한 번에

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 Instructions

Download lecture slides

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 the KorQuad Dataset

The Strongest LLM of Humanity - GPT Model Review

GPT Fine-Tuning via OpenAI API

Prompt Engineering

Performing Embedding using the OpenAI API

Using GPT efficiently with the OpenAI Text Generation API

Creating ChatGPT using the OpenAI Assistants API

Llama 3 - Utilizing Llama 3, the Open Source LLM with Insane Performance

Playing with Llama 3 - Fine-Tuning the KorQuad Dataset

Llama 3 Model Review

GPT-4o mini

NexusRaven

Llama 3.1

Utilizing 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 integrating Chat Completions API and Assistants API (Released 2025-03-11)

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

GPT-4.1 API (Released 2025-04-14)

OpenAI Codex (Released 2025-05-16)

gpt-oss (Released 2025-08-05)

GPT-5 API (Released 2025-08-07)

GPT-5.1 (Released 2025-11-12)

GPT-5.2 (Released 2025-12-11)