Understanding the Fundamental Principles of Large Language Models (LLMs)

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)

will be needed.

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

That is why I have opened the "Structural Code Reading Bootcamp" using Claude Code.

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

You will be able to develop the ability to guide AI on how to improve code.

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