Tôi rất vui vì được nghe một bài giảng bổ ích dựa trên những tài liệu chất lượng.

tsbjkim5137

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

AI 치트키위크 30% 깜짝 할인

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)

[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