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π€ AI / ML / LLM Frameworks (click to expand)
| Category | Technologies |
|---|---|
| LLM Frameworks | |
| LLM Providers | |
| Deep Learning | |
| ML & Data | |
| Vector Databases |
graph TB
User["π§βπ» User Input"] --> Orchestrator["π§ Agent Orchestrator"]
Orchestrator --> Planner["π Planning Agent"]
Orchestrator --> Researcher["π Research Agent"]
Orchestrator --> Coder["π» Coding Agent"]
Orchestrator --> Reviewer["β
Review Agent"]
Planner --> |"Task Decomposition"| TaskQueue["π Task Queue"]
Researcher --> |"RAG + Web Search"| Knowledge["π Knowledge Base"]
Coder --> |"Code Generation"| Tools["π§ Tool Execution"]
Reviewer --> |"Quality Check"| Output["π€ Final Output"]
Knowledge --> VectorDB["ποΈ Vector Store"]
Knowledge --> LLM["π€ LLM Provider"]
Tools --> API["π External APIs"]
Tools --> Sandbox["π¦ Code Sandbox"]
TaskQueue --> Orchestrator
Output --> User
style Orchestrator fill:#6366f1,color:#fff
style Planner fill:#8b5cf6,color:#fff
style Researcher fill:#8b5cf6,color:#fff
style Coder fill:#8b5cf6,color:#fff
style Reviewer fill:#8b5cf6,color:#fff
style LLM fill:#ef4444,color:#fff
style VectorDB fill:#06b6d4,color:#fff
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β° Weekly Development Breakdown |
| π Topic | π·οΈ Category | π₯ |
|---|---|---|
| Building Production RAG Systems with LangChain & LangGraph | Agentic AI |
βββ |
| Fine-Tuning LLMs with QLoRA β A Practical Guide | LLMs |
βββ |
| Multi-Agent Orchestration Patterns for Complex Tasks | AI Agents |
βββ |
| Optimizing LLM Inference with vLLM for Production | MLOps |
ββ |
| Full Stack AI Apps with Next.js + FastAPI + LangChain | Full Stack |
βββ |
If my projects or content helped you, consider supporting my open-source journey!
π‘ Open to collaborations on AI Agents, LLM Applications & Full Stack AI projects











