llm_course
写给算法工程师的大模型课程：34 课，每课从一个问题出发，用具体数字把机制从头算一遍
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GITHUB · launched Nov 1, 2026 · 37 upvotes (top 71%) · 0 views
Niche: technical and professional online courses · 143 launches, 7 in the last 7 days ▼ -22% · Explore this niche →
Category and tags
- Education
- Developer
- AI-native
- Hobby / open-source project
- ai-agent
- attention
- chinese
- education
- llm
- transformer
- +1 more
Visit website ↗ Source listing ↗
More like this: all 143 launches in technical and professional online courses →
Could you build this?
Partial The static course site is easy to vibe-code, but the value is 34 lessons of accurate, expert-level LLM content, which needs deep ML expertise to write and verify.
What it would actually take: The site itself is a simple static build with a Chinese-language content pipeline. The hard part is the material: each lesson must correctly derive mechanisms such as attention, KV cache, quantization, and RLHF with accurate numbers and worked examples. Producing that credibly requires someone with real training and inference engineering experience who can check the math and code.
Competitors
Other products that read as similar to this one : 527 launches clear the similarity bar, closest 8 shown.
Attention rank: #390 of 528 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 367 days after the earliest competitor.
- YiYan · github · 2026-10-15 · 68 upvotes · similarity 0.60
- hello-llm · github · 2026-10-24 · 36 upvotes · similarity 0.59
- course-study-guide · github · 2026-10-18 · 14 upvotes · similarity 0.54
- uni-llm-bench · github · 2026-09-14 · 11 upvotes · similarity 0.54
- Course-2026Fall · github · 2026-09-14 · 16 upvotes · similarity 0.53
- LLM-Training-Handbook · github · 2026-09-19 · 39 upvotes · similarity 0.52
- LQI · github · 2026-10-06 · 16 upvotes · similarity 0.52
- DYDM · github · 2026-11-09 · 13 upvotes · similarity 0.51
The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.