wj08286955

Bạn có thể nâng cao năng lực phát triển của mình thông qua việc khám phá sâu sắc các nguyên lý cơ bản của các mô hình ngôn ngữ lớn như ChatGPT hay Claude. Bạn có thể học hỏi được nhiều thông tin đa dạng và các kỹ thuật phát triển mà thông thường ít khi được tiếp cận.

arigaram

Tìm hiểu nguyên lý cơ bản của mô hình ngôn ngữ lớn (LLM)

llm성능평가및튜닝

chatGPT

chatgpt

생성형AI

생성형ai

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.

입문

초급

중급이상

자연어처리(Natural Language Processing)

챗지피티

ChatGPT

대규모 언어 모델

Understanding the Fundamental Principles of Large Language Models (LLMs)

<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

<2nd Edition> Section 4. [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

<2nd Edition> Section 5. [Practice] Deep 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

<2nd Edition> Section 6. [Basic] Autoregressive Model vs. Self-Attention Model

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

<2nd Edition> Section 7. [Advanced] Deep Dive into 'Autoregressive Models vs. Self-Attention Models'

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

<2nd Edition> Section 8. [Practice] 'Autoregressive Model vs. Self-Attention Model' Practice

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

<2nd Edition> Section 9. [Advanced] Transformer Architecture

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

<2nd Edition> Section 10. [Practice] 'Transformer Architecture' Practice

<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

<2nd Edition> Section 11. [Practice] 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

<2nd Edition> Section 12. [Practice] 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> Section 16. [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

<2nd Edition> [Hands-on] 'Understanding the Entire LLM Production Process' Practice - (8) Inference

<2nd Edition> [Hands-on] 'Understanding the Entire LLM Production Process' Practice - (9) Evaluation

<2nd Edition> [Hands-on] 'Understanding the Entire LLM Production Process' Practice - (10) Safety

<2nd Edition> [Hands-on] 'Understanding the Entire LLM Production Process' Practice - (11) Deployment

<1st Edition> (To be deleted after completing the 2nd Edition section below) [Basic] LLM Training Process Details

<2nd Edition> [Advanced] 'LLM Training Process Details' In-depth

<1st Edition> (To be deleted after completing the 2nd Edition section below) [Hands-on] 'LLM Training Process Details' Practice

<1판> (아래 2판 섹션 완성 후 삭제 예정) [기본] LLM 평가 방법

[Advanced] Deep Dive into 'LLM Evaluation Methods'

<1st Edition> (To be deleted after completing the 2nd Edition section below) [Hands-on] 'LLM Evaluation Methods' Practice

<1st Edition> (To be deleted after completing the 2nd Edition section below) [Basic] LLM Lightweighting

<2nd Edition> [Advanced] 'LLM Lightweighting' In-depth

<2nd Edition> [Hands-on] 'LLM Lightweighting' Practice

<2nd Edition> [Advanced] Ethical Considerations of LLM and Responsible AI

<2nd Edition> [Hands-on] 'Ethical Considerations of LLM and Responsible AI' Practice

<2nd Edition> [Advanced] LLM Application and Deployment Strategies

<2nd Edition> [Hands-on] 'LLM Application and Deployment Strategy' Practice

<1st Edition> (Scheduled to be deleted after completing the 2nd edition section below) [Advanced] Latest LLM Technology Status

<2nd Edition> [Hands-on] 'Current State of Latest LLM Technology' Practice

<2nd Edition> [Advanced] Latest LLM Research Trends and Future Outlook

<2nd Edition> [Practice] 'Latest LLM Research Trends and Future Outlook' Practice

<2nd Edition> [Advanced] Practical Applications of Generative AI

<2nd Edition> [Practice] 'Practical Application of Generative AI' Practice

<2nd Edition> [Advanced] Guide to Small-scale Practice and Project-Based Learning Methods

<2nd Edition> [Practice] 'Guide to Small-scale Practice and Project-Based Learning Methods' Practice

<2nd Edition> [Basic] Controlling the Timing of LLM Usage - Introduction to Prompt Engineering, Context Engineering, and Harness Engineering

<2nd Edition> [Advanced] Principles and Design Considerations of the Three-Layer Structure: Prompt Engineering, Context Engineering, and Harness Engineering

<2nd Edition> [Hands-on] Harnesses Change Results - Experience Three-Layer Structure-Based Control Firsthand

<2nd Edition> [Advanced] Multi-Agent Harness - Multi-agent expansion of the harness