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Large language models, the essentials at a glance!

This course covers the theory and practical examples of LLMs, based on <Fundamentals of Large Language Models, Quickly!> (Insight, 2025).

(4.7) 10 reviews

140 learners

Level Beginner

Course period Unlimited

Artificial Neural Network
Artificial Neural Network
PyTorch
PyTorch
LLM
LLM
Fine-Tuning
Fine-Tuning
RNN
RNN
Artificial Neural Network
Artificial Neural Network
PyTorch
PyTorch
LLM
LLM
Fine-Tuning
Fine-Tuning
RNN
RNN

‘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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