Command Palette
Search for a command to run...
llm-internals
A comprehensive educational resource that breaks down large language model internals into digestible lessons
verified Jul 13, 2026 · HTTP 200
CohortClass of 2026What it is
A comprehensive educational resource that breaks down large language model internals into digestible lessons. Covers essential concepts including tokenization, attention mechanisms, and inference optimization techniques. Designed for developers and researchers seeking deeper understanding of how modern LLMs work.
HTTP liveness
11 probes since May 23May 23Jul 13
AliveHard-dead (404/5xx/parked)RedirectedUnverified (timeout/DNS/block)
Observed events
probes · press · GitHub- May 23, 2026First probe — liveAlive · 200 OK
- Apr 28, 2026+29 stars792 total
- Apr 27, 2026+140 stars763 total
- Apr 21, 2026+31 stars598 total
- Apr 20, 2026+18 stars567 total
Discussion 0 comments
No comments yet. Be the first!
VitalsQuiet
Upvotes
—
Press
—
Pulse Indexobserved activity
563/4 signal families
Liveness40%1.00
Press30%no data
GitHub20%0.80
Tranco10%0.01
Weighted observed activity · updated Jul 15
GitHub activitydaily 04:15 UTC
Last commit
11d ago
Last release
—
Open PRs
0
Open issues
0
Contributors 30d
1
Closed 30d
0
Cohort survival · Class of 2026weekly
567 products launched in 2026 · 100% still active
567 active0 sunset
Still active
100%
Median lifespan
4.9y