AI/ML
Knowledge Hub
From fundamentals to production-ready AI — algorithms, LLM comparisons, prompt engineering, agentic systems, and real-world implementations.
Built by Peter Shang · Pentagon · DoD · Federal AI · Full-Stack
Explore the Hub
ML Foundations
Core algorithms, deep learning, neural networks, model evaluation — from theory to implementation.
- Linear/Logistic Regression
- Decision Trees & Random Forests
- Neural Networks & CNNs
- Transformers Architecture
LLMs & Generative AI
Deep dive into GPT, Claude, Gemini, prompt engineering, and agentic AI systems.
- GPT / Claude / Gemini comparison
- Prompt Engineering Mastery
- Function Calling & Tool Use
- Multi-Agent Architecture
Applied AI Use Cases
Production AI in federal finance, DoD, policy analysis, and news aggregation.
- DoD Budget Forecasting (XGBoost)
- Audit Risk Prediction
- Policy Document NLP
- Tech News Aggregation
Developer Toolkit
API guides, code libraries, production snippets — everything you need to ship ML.
- OpenAI / Anthropic / Gemini APIs
- scikit-learn & PyTorch
- LangChain & LlamaIndex
- FastAPI & Vercel Deployment
Model Evaluation
Decision frameworks, benchmarks, cost calculators, and algorithm selectors.
- LLM Evaluation Framework
- MMLU / HumanEval Benchmarks
- Interactive Algorithm Selector
- Token Cost Calculator
Advanced Topics
2026 AI landscape, RAG systems, fine-tuning with LoRA, RLHF, and research papers.
- RAG Systems & Vector DBs
- Fine-Tuning / LoRA / QLoRA
- Mixture of Experts (MoE)
- Constitutional AI & RLHF
🤖 AI Assistant
Ask anything about ML, algorithms, or code. Click the brain icon in the bottom right.
📄 Document Upload
Upload PDFs, notebooks, research papers — get AI-powered analysis and insights.
✦ MyThing Platform
Full personal knowledge platform with agentic AI, tech trends, federal finance, and notes.