Repository · MIT
louisfb01/start-llms
A complete guide to start and improve your LLM skills in 2026 with little background in the field and stay up-to-date with the latest news and state-of-the-art techniques!
★ 989
Stars
128 forks · 3 open issues
+1.0/wk
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
9.8
Momentum / 100
see the breakdown below
3y ago
Created
last push 9mo ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 1.1 | +1.0/wk, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 0.0 | last week ran 0.62× the monthly pace |
| Freshness | 15 | 0.0 | last push 9mo ago; decays to zero at 180 days |
| Scale | 15 | 8.7 | 989 stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 9.8 | sum of the above |
Detail
| Topics | aifine-tuninggptgpt-4language-modellarge-language-modelsllamallmllmsragretrieval-augmented-generation |
| Matched on | RAG (retrieval-augmented-generation) LLM & Inference (fine-tuning) |
| Short window | +1 stars over 7 days = 0.1/day |
| Long window | +6 stars over 26 days = 0.2/day |
| Lifetime average | 0.90 stars/day over 1,094 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |