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<LLM: Learning by Building from Scratch> Commentary Lecture

This course covers the GitHub notebooks and bonus content for <Building an LLM from Scratch> (Gilbut, 2025). GitHub: https://github.com/rickiepark/llm-from-scratch/ <Building an LLM from Scratch> is the Korean translation of the bestseller <Build a Large Langauge Model (from Scratch)> (Manning, 2024) written by Sebastian Raschka. Starting from scratch and building a complete version of OpenAI’s GPT-2 model, this book provides a way to learn how large language models work and how to use them.

(4.9) 27 reviews

581 learners

Level Basic

Course period Unlimited

PyTorch
PyTorch
gpt-2
gpt-2
transformer
transformer
LLM
LLM
Fine-Tuning
Fine-Tuning
PyTorch
PyTorch
gpt-2
gpt-2
transformer
transformer
LLM
LLM
Fine-Tuning
Fine-Tuning

‘Hands-On Machine Learning: The PyTorch Edition’ has been published!

Hello, this is Haeseon Park.

A new book has been published, and I’m excited to share the news. It’s the PyTorch edition of , the best-selling machine learning book in the world!

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Even better news is that the Inflearn Challenge for <Hands-On Machine Learning: PyTorch Edition> is being prepared! The challenge for <Deep Learning with Python, Third Edition> (https://inf.run/DPba3) is currently accepting applications. In particular, everyone who signs up for the challenge for <Deep Learning with Python, Third Edition> (https://inf.run/DPba3) will receive a free coupon for the challenge for <Hands-On Machine Learning: PyTorch Edition>. Both books come with useful lectures, so don’t miss this opportunity to master the best books in machine learning and deep learning all at once! The challenge for <Deep Learning with Python, Third Edition> (https://inf.run/DPba3) is accepting applications until October 10. Once registration closes, you will not be able to sign up for the challenge later (this is not possible due to the Inflearn system, and there is nothing I can do to help).

Then I hope to see you in the challenge and the challenge. Thank you! :)

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