Understanding the Fundamental Principles of Large Language Models (LLMs)

# Lecture 01. Understanding the Basic Principles of LLM

## Notice Regarding New Lesson Postings

Hello, students! A total of **375** new lessons (across 86 sections) will be posted sequentially for this course. As I am producing multiple courses simultaneously, I am proceeding by **alternating between various courses and posting a little at a time**, rather than uploading one entire course all at once. Below are the posting principles and the schedule for each section of this course.

> For your reference, the lessons being posted now are not entirely new content, but are part of the process of creating **revised editions (2nd or 3rd editions)** that reinforce existing lectures.

## Posting Principles

- I am currently rotating through a total of 19 courses in order (circular method), posting one lesson per course alternately.
- Postings take place on weekdays (Mon-Fri), with a total of 5 new lessons uploaded daily across all courses.
- For this course as well, the next lesson will be posted each time its turn comes around in the rotation.
- While the posting speed may feel slow compared to other courses, all courses are progressing together in the same manner.

## Posting Schedule by Section (Total 86 Sections)

| Section | Number of Lessons | Start Date | End Date |
|---|---|---|---|
| Section 6. [Basic] Autoregressive Models vs. Self-Attention Models | 6 | 2026-07-01 | 2026-07-28 |
| Section 7. [Advanced] In-depth 'Autoregressive Models vs. Self-Attention Models' | 5 | 2026-07-31 | 2026-08-24 |
| Section 8. [Practice] 'Autoregressive Models vs. Self-Attention Models' Practice | 3 | 2026-08-27 | 2026-09-08 |
| Section 9. [Advanced] Transformer Architecture | 6 | 2026-09-14 | 2026-10-09 |
| Section 10. [Practice] 'Transformer Architecture' Practice | 3 | 2026-10-15 | 2026-10-26 |
| Section 11. [Practice] Theory of Scaled Dot Product Attention | 10 | 2026-10-30 | 2026-12-17 |
| Section 12. [Practice] Implementation of Scaled Dot Product Attention | 3 | 2026-12-23 | 2027-01-01 |
| Section 13. [Practice] Implementation of Multi-Head Attention | 4 | 2027-01-07 | 2027-01-21 |
| Section 14. [Practice] Transformer Block Components | 4 | 2027-01-26 | 2027-02-09 |
| Section 15. [Practice] Full Transformer Architecture | 4 | 2027-02-12 | 2027-02-26 |
| Section 16. [Practice] Pre-trained Models and Applications | 4 | 2027-03-03 | 2027-03-15 |
| Section 17. [Advanced] Comparison of Open-Source LLMs and Closed-Source LLMs | 7 | 2027-03-18 | 2027-04-12 |
| Section 18. [Practice] 'Comparison of Open-Source LLMs and Closed-Source LLMs' Practice | 4 | 2027-04-14 | 2027-04-27 |
| Section 19. [Basic] Understanding Basic Concepts of LLM Training | 4 | 2027-04-30 | 2027-05-12 |
| Section 20. [Advanced] In-depth 'Understanding Basic Concepts of LLM Training' | 4 | 2027-05-17 | 2027-05-27 |
| Section 21. [Practice] A Taste of Tokenization Implementation for LLM | 5 | 2027-06-01 | 2027-06-15 |
| Section 22. [Advanced] Mastering Tokenization for LLM - Beginner | 3 | 2027-06-18 | 2027-06-25 |
| Section 23. [Advanced] Mastering Tokenization for LLM - Intermediate | 7 | 2027-06-30 | 2027-07-21 |
| Section 24. [Advanced] Mastering Tokenization for LLM - Advanced | 7 | 2027-07-23 | 2027-08-12 |
| Section 26. [Basic] Understanding the Entire LLM Production Process - (2) Follow-up Tasks | 6 | 2027-08-16 | 2027-08-30 |
| Section 27. [Basic] Understanding the Entire LLM Production Process - (3) Optimization and Maintenance during Operation (LLM-Ops) | 6 | 2027-09-01 | 2027-09-15 |
| Section 29. [Advanced] In-depth Entire LLM Production Process - (2) Data Collection | 1 | 2027-09-17 | 2027-09-17 |
| Section 30. [Advanced] In-depth 'Entire LLM Production Process' - (3) Data Cleaning | 3 | 2027-09-21 | 2027-09-27 |
| Section 31. [Advanced] In-depth Entire LLM Production Process - (4) Dataset Management | 3 | 2027-09-29 | 2027-10-05 |
| Section 32. [Advanced] In-depth Entire LLM Production Process - (5) Tokenization | 3 | 2027-10-07 | 2027-10-13 |
| Section 33. [Advanced] In-depth Entire LLM Production Process - (6) Pre-Training | 3 | 2027-10-15 | 2027-10-21 |
| Section 34. [Advanced] In-depth Entire LLM Production Process - (7) Fine-Tuning | 3 | 2027-10-25 | 2027-10-29 |
| Section 35. [Advanced] In-depth 'Entire LLM Production Process' - (8) Reinforcement Learning for Alignment | 3 | 2027-11-02 | 2027-11-08 |
| Section 36. [Advanced] In-depth 'Entire LLM Production Process' - (9) Performance Evaluation | 3 | 2027-11-10 | 2027-11-16 |
| Section 37. [Advanced] In-depth 'Entire LLM Production Process' - (10) Safety Verification | 2 | 2027-11-18 | 2027-11-22 |
| Section 38. [Advanced] In-depth 'Entire LLM Production Process' - (11) Deployment | 3 | 2027-11-24 | 2027-11-30 |
| Section 39. [Advanced] In-depth 'Entire LLM Production Process' - (12) Operation | 2 | 2027-12-02 | 2027-12-03 |
| Section 40. [Practice] 'Entire LLM Production Process' Practice - (1) Comprehensive Summary of Practice Process | 2 | 2027-12-07 | 2027-12-09 |
| Section 41. [Practice] 'Entire LLM Production Process' Practice - (2) Environment Preparation | 3 | 2027-12-13 | 2027-12-16 |
| Section 42. [Practice] 'Entire LLM Production Process' Practice - (3) Data Preparation | 3 | 2027-12-20 | 2027-12-24 |
| Section 43. [Practice] 'Entire LLM Production Process' Practice - (4) Tokenizer | 4 | 2027-12-28 | 2028-01-03 |
| Section 44. [Practice] 'Entire LLM Production Process' Practice - (5) Model Implementation | 5 | 2028-01-05 | 2028-01-13 |
| Section 45. [Practice] 'Entire LLM Production Process' Practice - (6) Training | 3 | 2028-01-17 | 2028-01-20 |
| Section 46. [Practice] 'Entire LLM Production Process' Practice - (7) Fine-tuning | 3 | 2028-01-24 | 2028-01-27 |
| Section 47. [Practice] 'Entire LLM Production Process' Practice - (8) Inference | 3 | 2028-01-31 | 2028-02-03 |
| Section 48. [Practice] 'Entire LLM Production Process' Practice - (9) Evaluation | 3 | 2028-02-04 | 2028-02-10 |
| Section 49. [Practice] 'Entire LLM Production Process' Practice - (10) Safety | 2 | 2028-02-11 | 2028-02-15 |
| Section 50. [Practice] 'Entire LLM Production Process' Practice - (11) Deployment | 3 | 2028-02-16 | 2028-02-22 |
| Section 51. [Basic] LLM Training Process Details | 7 | 2028-02-23 | 2028-03-08 |
| Section 52. [Advanced] In-depth 'LLM Training Process Details' | 4 | 2028-03-09 | 2028-03-16 |
| Section 53. [Practice] 'LLM Training Process Details' Practice | 4 | 2028-03-17 | 2028-03-23 |
| Section 54. [Basic] LLM Evaluation Methods | 5 | 2028-03-27 | 2028-04-03 |
| Section 55. [Advanced] In-depth 'LLM Evaluation Methods' | 5 | 2028-04-05 | 2028-04-12 |
| Section 56. [Practice] 'LLM Evaluation Methods' Practice | 6 | 2028-04-14 | 2028-04-25 |
| Section 57. [Basic] LLM Lightweighting | 6 | 2028-04-26 | 2028-05-05 |
| Section 58. [Advanced] In-depth 'LLM Lightweighting' | 4 | 2028-05-08 | 2028-05-15 |
| Section 59. [Practice] 'LLM Lightweighting' Practice | 5 | 2028-05-16 | 2028-05-24 |
| Section 60. [Advanced] Ethical Considerations and Responsible AI in LLM | 4 | 2028-05-25 | 2028-05-31 |
| Section 61. [Practice] 'Ethical Considerations and Responsible AI in LLM' Practice | 4 | 2028-06-02 | 2028-06-08 |
| Section 62. [Advanced] LLM Application and Deployment Strategies | 4 | 2028-06-09 | 2028-06-15 |
| Section 63. [Practice] 'LLM Application and Deployment Strategies' Practice | 4 | 2028-06-19 | 2028-06-22 |
| Section 64. [Advanced] Current Status of Latest LLM Technologies | 5 | 2028-06-23 | 2028-06-29 |
| Section 65. [Practice] 'Current Status of Latest LLM Technologies' Practice | 4 | 2028-06-30 | 2028-07-05 |
| Section 66. [Advanced] Latest LLM Research Trends and Future Outlook | 5 | 2028-07-06 | 2028-07-12 |
| Section 67. [Practice] 'Latest LLM Research Trends and Future Outlook' Practice | 5 | 2028-07-13 | 2028-07-19 |
| Section 68. [Advanced] Practical Use of Generative AI | 4 | 2028-07-20 | 2028-07-25 |
| Section 69. [Practice] 'Practical Use of Generative AI' Practice | 4 | 2028-07-26 | 2028-07-28 |
| Section 70. [Advanced] Guide to Small-scale Practice and Project-based Learning | 4 | 2028-07-31 | 2028-08-02 |
| Section 71. [Practice] 'Guide to Small-scale Practice and Project-based Learning' Practice | 4 | 2028-08-03 | 2028-08-08 |
| Section 73. [Advanced] Principles and Design Considerations of Three-layer Structure | 9 | 2028-08-08 | 2028-08-17 |
| Section 74. [Practice] Harness Changes Results - Experience Three-layer Control Directly | 9 | 2028-08-18 | 2028-08-28 |
| Section 75. [Advanced] Multi-Agent Harness - Multi-agent Extension of Harness | 8 | 2028-08-29 | 2028-09-05 |
| Section 77. [Appendix A. Basics of VLM] From LLM to VLM — Why Vision is Needed | 3 | 2028-09-06 | 2028-09-08 |
| Section 78. [Appendix A. Basics of VLM] Understanding the Core Structure of VLM | 5 | 2028-09-11 | 2028-09-14 |
| Section 79. [Appendix A. Basics of VLM] Training Methods of VLM | 5 | 2028-09-15 | 2028-09-20 |
| Section 80. [Appendix A. Basics of VLM] Comparative Analysis of Representative VLM Models | 6 | 2028-09-21 | 2028-09-27 |
| Section 81. [Appendix A. Basics of VLM] Using VLM Directly (Practice) | 5 | 2028-09-27 | 2028-10-03 |
| Section 82. [Appendix B. Video LLM] From Image to Video | 3 | 2028-10-03 | 2028-10-05 |
| Section 83. [Appendix B. Video LLM] Structure and Core Techniques of Video LLM | 5 | 2028-10-06 | 2028-10-11 |
| Section 84. [Appendix B. Video LLM] Exploring Representative Video LLMs | 4 | 2028-10-12 | 2028-10-16 |
| Section 85. [Appendix B. Video LLM] Video LLM Use Cases and Practice | 4 | 2028-10-17 | 2028-10-19 |
| Section 86. [Appendix C. VLA] From VLM to VLA — Seeing, Speaking, and Acting | 4 | 2028-10-20 | 2028-10-25 |
| Section 87. [Appendix C. VLA] VLA Training and Action Representation | 4 | 2028-10-25 | 2028-10-30 |
| Section 88. [Appendix C. VLA] Representative VLA Models | 5 | 2028-10-31 | 2028-11-03 |
| Section 89. [Appendix C. VLA] The Future VLA Will Create | 4 | 2028-11-06 | 2028-11-08 |
| Section 90. [Appendix D. Multimodal Agents] Agents Using VLM as a Brain | 4 | 2028-11-09 | 2028-11-13 |
| Section 91. [Appendix D. Multimodal Agents] The Rise of GUI Agents | 5 | 2028-11-14 | 2028-11-17 |
| Section 92. [Appendix D. Multimodal Agents] Building Your Own Multimodal Agent | 5 | 2028-11-20 | 2028-11-23 |
| Section 93. [Appendix E. Integration and Outlook] Convergence of VLM, Video LLM, VLA, and Agents | 4 | 2028-11-24 | 2028-11-28 |
| Section 94. [Appendix E. Integration and Outlook] Learning Roadmap and Resources for Developers | 5 | 2028-11-29 | 2028-12-01 |
| Section 95. [Appendix E. Integration and Outlook] (Capstone) Multimodal Mini Project | 4 | 2028-12-04 | 2028-12-05 |

## Estimated Completion

Based on the current pace, the entire course is expected to be fully posted by **around December 2028**. (The actual schedule may be moved up or delayed depending on production progress.)

At the request of our readers, we are issuing a 66% discount coupon for "Cognitive Load Management Techniques to Break Through the Limits of RAG Performance" (the 990,000 KRW course can be purchased for 330,000 KRW).

For your information, this course is currently in the process of posting the 2nd edition, which is a revision of the 1st edition.

In the case of the 2nd edition, all class materials have been posted, but the videos are still in the process of being uploaded.

I post the 2nd edition videos frequently, but it will take a long time (at least several months) to post all of them.

Please keep this in mind and carefully decide whether to use the coupon.

The deadline is the 19th and there is a limited number of coupons available, so please hurry if you need one.

You can download the coupon by entering the address below into your browser's search bar.

https://inf.run/QowXG

Hello.

The era of AI writing code has arrived.

However, the task of verifying the code written by AI and directing the path for improvement remains the responsibility of humans.

Furthermore, it has become necessary to know how to utilize AI more extensively in both vertical and horizontal directions.

The horizontal direction refers to a direction that encompasses everything from planning to deployment, and

The vertical direction refers to a direction that can encompass various languages, various frameworks, and various methodologies.

Therefore, a developer with a broad spectrum (that is, a complete spectrum in both vertical and horizontal directions)

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However, the education system has not yet been able to keep up with this.

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At https://code-reading-bootcamp.vercel.app/, you can develop the ability to read code written by both AI and humans, and

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It includes gamification elements, so you can have fun while tracking your skill improvements.

It is free to use anytime without the need to log in.

Although there are some shortcomings and parts where the questions have not yet been filled in,

I introduce this with the hope that it will be helpful to you.

I would appreciate it if you could use it lightly.

February 10, 2026, Sincerely, Jinsu Park (Arigaram).

To commemorate the planning and release of the curriculum for the advanced course of "Understanding the Principles of Large Language Models," we are offering a limited-time coupon to purchase it for 40,000 won until August 31st.

https://inf.run/6mGMp

To make it easier to find course materials, we have changed the titles of course materials to match the curriculum titles.

And we have revealed the sections and classes that are currently in the future lecture plan (tentative). The sections and classes added this time are not yet confirmed lectures and may be subject to change depending on the situation.

Supplemented video lectures on LLM Assessment Methods (Section 6).

This sixth section consists of the following topics:

1. Introduction to the Need for LLM Assessment

2. Introduction to LLM Evaluation Criteria

3. Introducing task solving performance evaluation metrics

4. Introduction to evaluation methods using real datasets