Jupyter Notebook · MIT
decodingai-magazine/second-brain-ai-assistant-course
Learn to build your Second Brain AI assistant with LLMs, agents, RAG, fine-tuning, LLMOps and AI systems techniques.
★ 3.1k
Stars
528 forks · 7 open issues
+3.0/wk
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
13.1
Momentum / 100
see the breakdown below
22mo ago
Created
last push 7mo ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 3.0 | +3.0/wk, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 0.0 | last week ran 0.56× the monthly pace |
| Freshness | 15 | 0.0 | last push 7mo ago; decays to zero at 180 days |
| Scale | 15 | 10.1 | 3.1k stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 13.1 | sum of the above |
Detail
| Topics | agentsai-systemsdata-engineeringfine-tuninghuggingfacellmllmopsmlopsopenaipythonrag |
| Matched on | LLM & Inference (fine-tuning) Data (data-engineering) |
| Short window | +3 stars over 7 days = 0.4/day |
| Long window | +20 stars over 26 days = 0.8/day |
| Lifetime average | 4.64 stars/day over 675 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |