It was great to attend such an informative lecture based on excellent materials.

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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.

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AI 치트키위크 30% 깜짝 할인

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

[Basic] Understanding Generative AI

[Advanced] Understanding Generative AI (Advanced)

[Practice] 'Understanding Generative AI' Practice Session

<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 --> 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

<2nd Edition> Section 11. [Practice] '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

<2nd Edition> Section 12. [Practice] 'Transformer Architecture' Practice --> 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

<2nd Edition> Section 13. [Practice] 'Transformer Architecture' Practice --> 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

<2nd Edition> Section 14. [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 15. [Practice] 'Transformer Architecture' Practice --> Full Transformer 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

<2nd Edition> Section 17. [Advanced] Comparison of Open-Source LLMs and Closed-Source LLMs

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

<2nd Edition> Section 18. [Practice] 'Comparison of Open-Source LLM and Closed-Source LLM' Practice

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

<2nd Edition> Section 19. [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> Section 20. [Advanced] Deep Dive into 'Understanding Basic Concepts Related to LLM Training'

<2nd Edition> Section 21. [Basic] A Taste of Tokenization Implementation for LLMs

<2nd Edition> Section 22. [Advanced] Mastering Tokenization for LLMs --> Beginner's Level

<2nd Edition> Section 23. [Advanced] Mastering Tokenization for LLMs --> Intermediate Level

<2nd Edition> Section 24. [Advanced] Mastering Tokenization for LLMs --> Advanced Version

<2nd Edition> Section 25. [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> Section 26. [Basic] Understanding the Entire LLM Production Process - (2) Follow-up Tasks

<2nd Edition> Section 27. [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> Section 28. [Advanced] Understanding the Entire LLM Production Process in Depth - (1) Project Planning

<2nd Edition> Section 29. [Advanced] Understanding the Entire Process of LLM Creation - (2) Data Collection

<2nd Edition> Section 30. [Advanced] Understanding the Entire Process of LLM Production - (3) Data Cleaning

<2nd Edition> Section 31. [Advanced] Understanding the Entire LLM Production Process - (4) Dataset Management

<2nd Edition> Section 32. [Advanced] Understanding the Entire Process of LLM Production - (5) Tokenization

<2nd Edition> Section 33. [Advanced] Understanding the Entire LLM Production Process - (6) Pre-Training

<2nd Edition> Section 34. [Advanced] Understanding the Entire LLM Production Process - (7) Fine-Tuning

<2nd Edition> Section 35. [Advanced] Understanding the Entire LLM Production Process - (8) Reinforcement Learning for Alignment

<2nd Edition> Section 36. [Advanced] Understanding the Entire LLM Production Process - (9) Performance Evaluation

<2nd Edition> Section 37. [Advanced] Understanding the Entire LLM Production Process - (10) Safety Verification

<2nd Edition> Section 38. [Advanced] Understanding the Entire Process of LLM Production - (11) Deployment

<2nd Edition> Section 39. [Advanced] Understanding the Entire LLM Production Process - (12) Operations

<2nd Edition> Section 40. [Hands-on] 'Understanding the Entire LLM Production Process' - (1) Comprehensive Summary of the Hands-on Process

<2nd Edition> Section 41. [Hands-on] 'Understanding the Entire LLM Production Process' - (2) Environment Preparation

<2nd Edition> Section 42. [Hands-on] Understanding the Entire LLM Production Process - (3) Data Preparation

<2nd Edition> Section 43. [Hands-on] 'Understanding the Entire LLM Production Process' Practice - (4) Tokenizer

<2nd Edition> Section 44. [Hands-on] 'Understanding the Entire LLM Production Process' - (5) Model Implementation

<2nd Edition> Section 45. Practice] 'Understanding the Entire LLM Production Process' Practice - (6) Training

<2nd Edition> Section 46. [Hands-on] Understanding the Entire LLM Production Process - (7) Fine-tuning

<2nd Edition> Section 47. [Hands-on] Understanding the Entire LLM Production Process - (8) Inference

<2nd Edition> Section 48. [Hands-on] 'Understanding the Entire LLM Production Process' Hands-on - (9) Evaluation

<2nd Edition> Section 49. [Practice] Understanding the Entire LLM Production Process - (10) Safety

<2nd Edition> Section 50. [Practice] Understanding the Entire LLM Production Process - (11) Deployment

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

<2nd Edition> Section 51. [Basic] LLM Training Process Details

<2nd Edition> Section 52. [Advanced] 'Details of the LLM Training Process' Advanced

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

<2nd Edition> Section 53. [Hands-on] 'LLM Training Process Details' Practice

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

<2nd Edition> Section 54. [Basic] LLM Evaluation Methods

<2nd Edition> Section 55. [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

<2nd Edition> Section 56. [Practice] 'LLM Evaluation Methods' Practice

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

<2nd Edition> Section 57. [Basic] LLM Lightweighting

<2nd Edition> Section 58. [Advanced] Deep Dive into 'LLM Lightweighting'

<2nd Edition> Section 59. [Hands-on] 'LLM Lightweighting' Practice

<2nd Edition> Section 60. [Advanced] Ethical Considerations of LLMs and Responsible AI

<2nd Edition> Section 61. [Practice] 'Ethical Considerations of LLMs and Responsible AI' Practice

<2nd Edition> Section 62. [Advanced] LLM Application and Deployment Strategy

<2nd Edition> Section 63. [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> Section 64. [Advanced] Current State of Latest LLM Technology

<2nd Edition> Section 65. [Practice] 'Latest LLM Technology Trends' Practice

<2nd Edition> Section 66. [Advanced] Latest LLM Research Trends and Future Outlook

<2nd Edition> Section 67. [Hands-on] 'Latest LLM Research Trends and Future Outlook' Practice

<2nd Edition> Section 68. [Advanced] Practical Application of Generative AI

<2nd Edition> Section 69. [Practice] 'Practical Application of Generative AI' Practice

<2nd Edition> Section 70. [Advanced] Guide to Small-scale Practice and Project-Based Learning Methods

<2nd Edition> Section 71. [Practice] Guide to 'Small-scale Practice and Project-Based Learning' Practice

<2nd Edition> Section 72. [Basic] Controlling When to Use LLM - Introduction to Prompt Engineering, Context Engineering, and Harness Engineering

<2nd Edition> Section 73. [Advanced] Principles and Design Considerations of the Three-Layer Structure: Prompt Engineering, Context Engineering, and Harness Engineering

<2nd Edition> Section 74. [Hands-on] Harnesses Change Results - Experiencing Three-Layer Architecture-Based Control Firsthand

<2nd Edition> Section 75. [Advanced] Multi-Agent Harness - Multi-agent expansion of the harness

<2nd Edition> Section 76. [Appendix Start] Beyond LLM — A Guide for Developers Entering the Multimodal Era