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<Large Language Models, Just the Essentials!> Completion Challenge

This is a 5-week challenge to finish reading the book <Large Language Models: Fast & Essential!> (Insight, 2025). Don't miss this golden opportunity to learn about Large Language Models along with abundant benefits!

Deep Learning(DL)
PyTorch
NLP
LLM
book-challenge

42개 수업 학습

6회 미션 수행

연계 강의 무료 제공

수료시 추가 강의/챌린지 제공

무제한 복습, 내 것으로 만들어요.

질문하고 즉시 답을 얻어요.

성취의 증표, 수료증을 발급해요.

haesunpark님과 함께해요!

23,193

Learners

424

Reviews

131

Answers

4.9

Rating

11

Courses

I majored in mechanical engineering, but since graduation, I have been consistently reading and writing code. I am a Google AI/Cloud GDE and a Microsoft AI MVP. I run the TensorFlow blog (tensorflow.blog) and enjoy exploring the boundary between software and science by writing and translating books on machine learning and deep learning.

ml-dl-roadmap.png.webp

 He has authored "Deep Learning by Building Alone" (Hanbit Media, 2025), "Machine Learning + Deep Learning Alone (Revised Edition)" (Hanbit Media, 2025), "Data Analysis with Python Alone" (Hanbit Media, 2023), "The Art of Conversing with ChatGPT" (Hanbit Media, 2023), and "Do it! Introduction to Deep Learning" (EasysPublishing, 2019).

He has translated dozens of books into Korean, including "LLM Fine-Tuning: Quick Core Concepts!" (Insight, 2026), "Learning LLM & AI with PyTorch" (Hanbit Media, 2026), "Large Language Models: Quick Core Concepts!" (Insight, 2025), "Machine Learning: Quick Core Concepts!" (Insight, 2025), "Learning LLM by Building from Scratch" (Gilbut, 2025), "Hands-On LLM" (Hanbit Media, 2025), "Machine Learning Q & AI" (Gilbut, 2025), "Mathematics for Developers" (Hanbit Media, 2024), "Practical ML Problem Solving with Python" (Hanbit Media, 2024), "Machine Learning Textbook: PyTorch Edition" (Gilbut, 2023), "Stephen Wolfram's ChatGPT Lecture" (Hanbit Media, 2023), "Hands-On Machine Learning, 3rd Edition" (Hanbit Media, 2023), "Generative Deep Learning, 2nd Edition" (Hanbit Media, 2023), "Python for Awakening the Coding Brain" (Hanbit Media, 2023), "Natural Language Processing with Transformers" (Hanbit Media, 2022), "Deep Learning with Python, 2nd Edition" (Gilbut, 2022), "Machine Learning & Deep Learning for Developers" (Hanbit Media, 2022), "Gradient Boosting with XGBoost and Scikit-Learn" (Hanbit Media, 2022), "Deep Learning with TensorFlow.js" (Gilbut, 2022), and "Introduction to Machine Learning with Python, 2nd Edition" (Hanbit Media, 2022).

More

Challenge Schedule

  • Recruitment Period: 10/30(Thu) ~ 11/12(Wed)

  • Challenge Schedule: 11/13 (Thu) ~ 12/17 (Wed) (5 weeks)

  • Weekly Reading Amount: Read one chapter per week, from Chapter 1 to Chapter 5


  • A certificate will be issued if you complete the missions and reach a 100% completion rate within the challenge period. If the missions are not completed, a certificate cannot be issued.

  • E-book expected release date: November 14th; e-book purchases are also eligible for book purchase verification.

Challenge Benefits

  • Free coupon for the <Large Language Models, Fast & Essential!> course (valued at 40,000 KRW)


  • <Build and Learn LLM from Scratch> course (https://inf.run/wQDh8) 50% discount coupon provided (worth 30,000 KRW)

  • Additional benefits upon completion of the challenge

    • Free coupon for <Machine Learning, Just the Essentials!> course (worth 40,000 KRW) (To be issued after December 17th)

    • <LLM Fine-tuning, Core Essentials Quickly!> (To be published) Challenge free coupon provided (worth 20,000 KRW) (Challenge opening and free coupon issuance schedule to be announced later)

  • Benefits are provided as Inflearn coupons. Please be sure to refer to the precautions below.

<Precautions> Must Read!!!

  • On November 13th, the free coupon issuance link for the <Large Language Models, Fast Core Essentials!> course and the 50% discount coupon issuance link for the <Learning LLMs by Building from Scratch> course will be sent to the email registered on Inflearn for challenge participants.

  • Please check in advance if you can receive emails from Inflearn. If the email is marked as spam, we will not be able to reissue it later. If you have any issues receiving emails from Inflearn, please contact the Inflearn Help Desk.

  • The validity period of this link is 3 days. You must issue your free and discount coupons through the link within 3 days. After 3 days, the link will become invalid and you will not be able to receive the coupons!

  • The issued coupons must be used within 1 day!

  • Upon completion of the challenge, a link to issue a coupon for the <Machine Learning, Fast and Core!> course will be sent to your email immediately. Additionally, when the challenge for the upcoming book <LLM Fine-tuning, Fast and Core!> (to be published) opens, a link to issue a free coupon will be sent to your email. The methods for issuing and using the coupons are the same as described above.

Book Introduction

Less complex theory, more essential core concepts!

The most concise guide to mastering language modeling

As a follow-up to Andriy Burkov's bestseller "The Hundred-Page Machine Learning Book," this book starts with the basics of language modeling and covers the latest Large Language Models (LLMs) concisely yet thoroughly. Through this book, readers can systematically learn everything from the mathematical foundations of modern machine learning and neural networks to count-based and RNN-based language models implemented in Python, building Transformers from scratch with PyTorch, and hands-on LLM practice (instruction fine-tuning, prompt engineering).

Based on executable Python code and a Google Colab environment, this practice-oriented book allows anyone to expand their understanding by following along step-by-step. It explains the journey of language models—from simple n-gram statistics to the core AI technology of today—starting with count-based methods up to the latest Transformer architectures, covering both principles and implementation. Each chapter builds progressively on previous content, and even complex concepts are structured to be easily understood through clear explanations, illustrations, and hands-on exercises.

Testimonials

“This book clears up the conceptual confusion about how machine learning actually works. It is a gem of a book that captures machine learning with clarity.”
- Vint Cerf (Internet pioneer and Turing Award winner)

“This is an excellent starting point for those taking their first steps into language modeling and aiming for the cutting edge.”
- Tomáš Mikolov (Developer of word2vec and FastText)

“Andrej paints a journey from the foundations of linear algebra to the implementation of Transformers with over 100 masterful brushstrokes.”
- Florian Douetteau (Co-founder and CEO of Dataiku)

“One of the most comprehensive yet concise guides to deeply understanding the inner workings of LLMs.”
- Jerry Liu (Co-founder and CEO of LlamaIndex)

“Andrej has an almost supernatural talent for breaking down massive AI concepts into bite-sized pieces, making the reader feel like ‘I finally get it!’”
- Jorge Torres (CEO of MindsDB)

Purchase Book

cover-the-lm-book

11월

12일

챌린지 시작일

2025년 11월 12일 PM 03:00

챌린지 종료일

2025년 12월 17일 PM 02:59

챌린지 커리큘럼

All

48 lectures

Course Materials:

챌린지에서 배워요

  • Core concepts of machine learning and neural networks

  • Text Representation Techniques and Basic Language Modeling

  • Implementing RNN and Transformer with PyTorch

  • Practical Guidelines for Fine-tuning and Prompt Engineering of Language Models

  • Key considerations regarding hallucination issues and model evaluation

Recommended for
these people

Who is this course right for?

  • Those who want to understand the theory of Large Language Models and learn fine-tuning methods

  • Those who want a technical overview of the entire history of language models

  • Those who want to learn by building recurrent neural networks and transformers with PyTorch

  • Those who need a solid understanding of artificial neural networks and large language models

Need to know before starting?

  • Python

Reviews

All

13 reviews

5.0

13 reviews

  • bluesds9742님의 프로필 이미지
    bluesds9742

    Reviews 2

    ∙

    Average Rating 5.0

    5

    33% enrolled

    This will be very helpful for my studies going forward.

    • haesunpark
      Instructor

      I hope this helps. Thank you!

  • galaxia999님의 프로필 이미지
    galaxia999

    Reviews 11

    ∙

    Average Rating 5.0

    Edited

    5

    100% enrolled

    I read "LLM from Scratch" before this book, so I was able to understand the parts that summarized the key points. I think it would be good to watch this along with other courses.

    • haesunpark
      Instructor

      Thank you for your great feedback! :)

  • j808esc8894님의 프로필 이미지
    j808esc8894

    Reviews 2

    ∙

    Average Rating 5.0

    5

    31% enrolled

    A book tailored for busy working professionals..

    • haesunpark
      Instructor

      Thank you!

  • infsam님의 프로필 이미지
    infsam

    Reviews 6

    ∙

    Average Rating 4.8

    5

    31% enrolled

    It's difficult, but I'm somehow managing to keep up @_@

    • haesunpark
      Instructor

      Keep fighting until the end! :)

  • calculator님의 프로필 이미지
    calculator

    Reviews 163

    ∙

    Average Rating 4.9

    5

    100% enrolled

    This is a course for completing the reading challenge certification, and book-related courses are provided for free. Thank you for translating such a great book!

    • haesunpark
      Instructor

      Yes, that's correct. I will work harder going forward. Thank you! :)

취소 및 환불 규정
챌린지는 지식공유자가 설정한 수업 최소 정원이 충족되지 않을 경우, 폐강 안내가 고지되며 결제 내역이 자동취소됩니다.

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