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Jupyter Notebook · MIT

genieincodebottle/generative-ai

Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.

★ 2.7k
Stars
645 forks · 0 open issues
+1.4/day
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
39.7
Momentum / 100
see the breakdown below
2y ago
Created
last push 13d ago

Star history

2026-10-10 2.6k → 2.7k stars +24 over 26 days 2026-11-05

How this score was built

ComponentWeightEarnedWhy
Velocity557.4 +1.4/day, log-scaled against a 750/day ceiling
Acceleration158.2 last week ran 1.55× the monthly pace
Freshness1514.2 last push 13d ago; decays to zero at 180 days
Scale159.9 2.7k stars, log-scaled against 150k — stops a 3-star repo topping the board
Momentum10039.7 sum of the above

Detail

Topicsagentic-aiagentic-frameworkclaudegeminigenaigenai-usecasegenerative-aiinterview-questionslangchainlanggraphlarge-language-modelllm-agentllm-evaluationmcpmodel-context-protocolmultimodaln8nn8n-workflowopenai-apiretrieval-augmented-generation
Matched onAI Agents (llm-agent)
RAG (retrieval-augmented-generation)
Agent Skills & MCP (model-context-protocol)
Learning & Roadmaps (interview-questions)
Short window+10 stars over 7 days = 1.4/day
Long window+24 stars over 26 days = 0.9/day
Lifetime average2.59 stars/day over 1,031 days
First seen here2026-10-11
Last read2d ago