I used to think I could get by in society without studying, but I don't think that's the case anymore. Thank you for helping me understand the concepts of LLM.

n03372563985jull2609

You can enhance your development capabilities by deeply exploring the fundamental principles of large language models like ChatGPT and Claude. You will be able to learn a variety of information and development techniques that are not commonly encountered.

arigaram

Understanding the Fundamental Principles of Large Language Models (LLMs)

llm성능평가및튜닝

chatGPT

chatgpt

생성형AI

생성형ai

입문

초급

중급이상

자연어처리(Natural Language Processing)

챗지피티

ChatGPT

대규모 언어 모델

<2nd Edition> [Basic] Understanding Generative Artificial Intelligence

<2nd Edition> [Advanced] Advanced 'Understanding Generative AI'

<2nd Edition> [Practice] 'Understanding Generative AI' Practice

<1st Edition> (To be deleted after completing the 2nd Edition section below) [Basic] In-depth Understanding of Language Model Principles

<1st Edition> (To be deleted after completing the 2nd Edition section below) [Practice] 'In-depth Understanding of Language Model Principles' Practice

<1st Edition> (To be deleted after completing the 2nd Edition section below) [Basics] Autoregressive Model vs. Self-Attention Model

<1판> (아래 2판 섹션 완성 후 삭제 예정) [심화] '자기회귀 모형 vs. 자기주의 모형' 심화

<1st Edition> (To be deleted after completing the 2nd Edition section below) [Hands-on] 'Autoregressive Model vs. Self-Attention Model' Practice

<1st Edition> (To be deleted after completing the 2nd Edition section below) [Advanced] Transformer Architecture

<1st Edition> (To be deleted after completing the 2nd Edition section below) [Practice] 'Transformer Architecture' Practice --> Input and Representation

<1st Edition> (To be deleted after completing the 2nd Edition section below) [Hands-on] 'Transformer Architecture' Practice --> Understanding and Implementing Attention --> Theory of Scaled Dot Product Attention

<1st Edition> (To be deleted after completing the 2nd Edition section below) [Hands-on] 'Transformer Architecture' Hands-on --> Understanding and Implementing Attention --> Implementation of Scaled Dot Product Attention

<1st Edition> (To be deleted after completing the 2nd Edition section below) [Hands-on] 'Transformer Architecture' Hands-on --> Understanding and Implementing Attention --> Implementation of Multi-Head Attention

<1st Edition> (To be deleted after completing the 2nd Edition section below) [Practice] 'Transformer Architecture' Practice --> Transformer Block Components

<1st Edition> (Scheduled to be deleted after completing the 2nd Edition section below) [Practice] 'Transformer Architecture' Practice --> Transformer Full Architecture

<2nd Edition> [Practice] 'Transformer Architecture' Practice --> Pre-trained Models and Applications

<1판> (아래 2판 섹션 완성 후 삭제 예정) [심화] Open-Source LLM과 Closed-Source LLM의 비교

<1st Edition> (To be deleted after completing the 2nd edition section below) [Hands-on] 'Comparison of Open-Source LLMs and Closed-Source LLMs' Practice

<1st Edition> (To be deleted after completing the 2nd Edition section below) [Basic] Understanding basic concepts related to LLM training

<1st Edition> (To be deleted after completing the 2nd edition section below) [Advanced] Advanced 'Understanding Basic Concepts of LLM Training'

<2nd Edition> [Basic] A Taste of Tokenization Implementation for LLMs

<2nd Edition> [Advanced] Mastering Tokenization for LLMs --> Beginner's Guide

<2nd Edition> [Advanced] Mastering Tokenization for LLMs --> Intermediate Level

<2nd Edition> [Advanced] Mastering Tokenization for LLMs --> Advanced Level

<2nd Edition> [Basic] Understanding the Entire LLM Production Process - (1) Building a Foundation Model

<1판> (아래 2판 섹션 완성 후 삭제 예정) [기본] LLM 제작 전 과정 이해하기 - (2) 후속 작업

<2nd Edition> [Basic] Understanding the Entire LLM Production Process - (3) Enhancement and Maintenance During Operation (LLM-Ops)

<1판> (아래 2판 섹션 완성 후 삭제 예정) [심화] 'LLM 제작 전 과정 이해하기' 심화 - (1) 프로젝트 기획

<2nd Edition> [Advanced] Understanding the Entire Process of LLM Creation - (2) Data Collection

<2nd Edition> [Advanced] Understanding the Entire Process of LLM Creation - (3) Data Cleaning

<2nd Edition> [Advanced] Understanding the Entire Process of LLM Creation - (4) Dataset Management

<2nd Edition> [Advanced] Understanding the Entire Process of LLM Creation - (5) Tokenization

<2nd Edition> [Advanced] Understanding the Entire Process of LLM Production - (6) Pre-Training

<2nd Edition> [Advanced] Understanding the Entire Process of LLM Creation - (7) Fine-Tuning

<2nd Edition> [Advanced] Understanding the Entire Process of LLM Creation - (8) Reinforcement Learning for Alignment

<2nd Edition> [Advanced] Understanding the Entire Process of LLM Creation - (9) Performance Evaluation

<2nd Edition> <2nd Edition> [Advanced] Understanding the Entire Process of LLM Production - (10) Safety Verification

<2nd Edition> [Advanced] Understanding the Entire Process of LLM Creation - (11) Deployment

<2nd Edition> [Advanced] Understanding the Entire Process of LLM Production - (12) Operations

<2nd Edition> [Hands-on] 'Understanding the Entire LLM Production Process' Practice - (1) Comprehensive Summary of the Practice Process

<2판> [Hands-on] 'Understanding the Entire LLM Production Process' Practice - (2) Environment Preparation

<2nd Edition> [Hands-on] 'Understanding the Entire LLM Production Process' Practice - (3) Data Preparation

<2nd Edition> [Hands-on] 'Understanding the Entire LLM Production Process' Practice - (4) Tokenizer

<2nd Edition> [Hands-on] 'Understanding the Entire LLM Production Process' Practice - (5) Model Implementation

<2nd Edition> [Hands-on] 'Understanding the Entire LLM Production Process' Practice - (6) Training

<2nd Edition> [Hands-on] 'Understanding the Entire LLM Production Process' Practice - (7) Fine-tuning

[Practice] 'Understanding the Entire LLM Production Process' Practice - (8) Inference

[Practice] 'Understanding the Entire LLM Production Process' Practice - (9) Evaluation

[Practice] 'Understanding the Entire LLM Production Process' Practice - (10) Safety

[Practice] 'Understanding the Entire Process of LLM Creation' Practice - (11) Deployment

[Basic] LLM Training Process Details

[Advanced] 'LLM Training Process Details' In-depth

[Hands-on] 'LLM Training Process Details' Practice

[Basic] LLM Evaluation Methods

[Advanced] Deep Dive into 'LLM Evaluation Methods'

[Practice] 'LLM Evaluation Methods' Practice

[Basic] LLM Lightweighting

[Advanced] Deep Dive into 'LLM Optimization'

[Practice] 'LLM Weight Reduction' Practice

[Advanced] Ethical Considerations of LLM and Responsible AI

[Practice] 'Ethical Considerations of LLMs and Responsible AI' Practice

[Advanced] LLM Application and Deployment Strategies

[Practice] 'LLM Application and Deployment Strategy' Practice

[Advanced] Current State of Latest LLM Technology

[Practice] 'Latest LLM Technology Trends' Practice

[Advanced] Latest LLM Research Trends and Future Outlook

[Practice] 'Latest LLM Research Trends and Future Outlook' Practice

[Advanced] Practical Applications of Generative AI

[Practice] 'Practical Application of Generative AI' Practice

[Advanced] Guide to Small-scale Practical Training and Project-Based Learning Methods

[Practice] 'Guide to Small-scale Practice and Project-Based Learning Methods' Practice

[Basic] Controlling the Timing of LLM Usage - Introduction to Prompt Engineering, Context Engineering, and Harness Engineering

[Advanced] Principles and Design Considerations of the Three-Layer Structure: Prompt Engineering, Context Engineering, and Harness Engineering

[Hands-on] The Harness Changes the Result - Experience Three-Layer Structure-Based Control Firsthand

[Advanced] Multi-Agent Harness - Multi-agent expansion of the harness