This is truly the best lecture. I am so grateful that you continue to update it. It was difficult for a beginner to review papers on my own, but this has been a great help in understanding them.


coldpark6952

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

입문

초급

중급이상

대규모 언어 모델

메타 대규모 언어 모델

Llama

Deep Learning(DL)

파이토치

PyTorch

챗지피티

ChatGPT

Practice Instructions


Download lecture slides


Overview of LLM (Large Language Model)


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


Review of the strongest LLM of mankind - GPT model


GPT Fine-Tuning through OpenAI API


Prompt Engineering


Performing Embedding using the OpenAI API


Using OpenAI Text Generation API to efficiently utilize GPT


Creating ChatGPT using the OpenAI Assistants API

Llama 3 - Leveraging 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


SWE-Lancer


New API integrating OpenAI's Responses API - Chat Completions API and Assistants API (Released on 2025-03-11)
