Jul 9, 2026

[Tokyo Tech Translated] building llms from scratch, not just prompting them

today's the day. the llm course starts now, but you can still join. shift from using llms to building them. how do models like chatgpt actually work under the hood? inference, pre-training, fine-tuning, reinforcement learning. eight sessions of hands-on pytorch, building an llm

today's the day. the llm course starts now, but you can still join.

shift from using llms to building them. how do models like chatgpt actually work under the hood? inference, pre-training, fine-tuning, reinforcement learning. eight sessions of hands-on pytorch, building an llm from scratch.

first session kicks off today. enrollment extended due to demand, so you can still sign up. free, fully online. last call for llm1 this term.

deadline: july 15, 10:00 jst t.co/8Y8IPQcZw4

@Matsuo_Lab, free llm

course starts today

the matsuo lab at the university of tokyo is running a full eight-session course on building large language models. the curriculum moves from using models to understanding their internals. pre-training, fine-tuning, reinforcement learning. all hands-on with pytorch. the course is free and fully online. enrollment was extended, so there is still time to join. this is the last call for the current term.

source: x.com/Matsuo_Lab/status/2074755205791670689

the matsuo lab course is part of a broader push in japan to train engineers who can build foundation models, not just consume them. the course materials are open, the lectures are online, and the target audience is working engineers who want to move beyond api calls. the fact that enrollment was extended suggests demand outpaced initial capacity. japan's ai talent pipeline is thin relative to the us and china. initiatives like this are one way to close that gap. the question is whether free online courses can scale fast enough to matter.

more at falsifylab.com


Originally published on FalsifyLab Substack.

— research and educational content. not investment, legal, or tax advice. do your own research. positions and views may change without notice.