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3sigmacode/README.md

3 SIGMA CODE [3σ]

Engineering the Exception.

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### 👁️ ABOUT THE CHANNEL **3 Sigma Code** is a repository of high-signal engineering demonstrations. I deconstruct "Black Box" AI systems and rebuild them from scratch in Python. **Core Philosophy:** * **No Hype:** If I can't build it, I don't talk about it. * **Code First:** Theory is optional. Implementation is mandatory. * **Systems Thinking:** It's not just about the model. It's about the pipeline. --- ### 📡 TOPICS I COVER | Category | What We Build | | :--- | :--- | | **🧠 LLM Internals** | Transformers, Attention Mechanisms, Tokenizers | | **📚 RAG Systems** | Vector DBs, Hybrid Search, Context Window Optimization | | **🤖 Agents** | Tool Use, Planning Loops, Multi-Agent Orchestration | | **⚖️ Evaluation** | LLM-as-a-Judge, Cosine Similarity, Automated Red-Teaming | | **⚙️ MLOps** | Model Serving, Quantization, Fine-Tuning (LoRA/QLoRA) | --- ### 🛠️ THE STACK

--- ### 📈 GITHUB STATS
3sigmacode stats

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  1. 3sigma-rag-impl 3sigma-rag-impl Public

    Production-ready Python code for implementing Retrieval-Augmented Generation (RAG). Compare a vanilla LLM's hallucination against the RAG fix for accurate, enterprise-grade Q&A on private data.

    Python

  2. 7-day-ai-sprint 7-day-ai-sprint Public

    This is a 7-day intensive sprint designed to take you from "Zero" to "Outlier." We cover the core fundamentals of Generative AI, not through slides, but through raw code.

    Python

  3. AI-Agents-Make-you-RICH AI-Agents-Make-you-RICH Public

    Python

  4. Deepdive-Comparisons Deepdive-Comparisons Public

    LLM Embeddings vs TF-IDF vs Bag-of-Words: Which Works Better in Scikit-learn?

    Jupyter Notebook

  5. PageIndex-Deep-Dive PageIndex-Deep-Dive Public

    An enterprise-grade, hybrid Retrieval-Augmented Generation (RAG) pipeline that completely bypasses traditional vector databases.

    Python