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#cs336

@Michaelzsguo: Alisa Liu mentioned the Stanford course CS336: Language Modeling from Scratch while preparing for an OpenAI interview. If you want to systematically learn LLM now, or if you plan to pursue AI research / MTS / ML e…

X AI KOLs Timeline · yesterday Cached

Recommends the Stanford open course CS336: Language Modeling from Scratch, which systematically explains the full training pipeline of language models from scratch, suitable for those preparing for AI interviews or wanting to deeply learn LLM.

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#cs336

@0xLinehigher: I strongly recommend every college student majoring in Computer Science to thoroughly study CS336 during their university years, without Chinese subtitles, only English subtitles. After finishing it, your understanding of LLMs and English proficiency will be at least in the top 1% in China. This course surpasses any computer science course in any domestic university. 《Stanford CS336: La…

X AI KOLs Timeline · 3d ago Cached

Recommend computer science students to study the Stanford CS336 course (Language Modeling from Scratch) to improve LLM understanding and English ability.

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#cs336

@Rassh_RAJ: Stanford CS336: Large Language Models from Scratch (2026) is now fully on YouTube, with a few additions beyond the 2025…

X AI KOLs Following · 2026-05-24 Cached

Stanford's CS336 course 'Large Language Models from Scratch' (2026) is now fully available on YouTube, with additions beyond the 2025 playlist, offering an in-depth understanding of LLMs beyond APIs.

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#cs336

@levidiamode: Day 138/365 of GPU Programming One of my favorite lectures I've watched this year is Stanford's CS336 lecture 7 on GPU …

X AI KOLs Timeline · 2026-05-21 Cached

A learner shares enthusiasm for Stanford CS336 lecture 7 on GPU parallelism, which covers fundamental operations and connects them to multi-GPU setups and parallelism techniques like tensor, data, and pipeline parallelism.

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