LLM Explorer (Standalone)
Standalone page to explore LLM concepts and behavior in an approachable format.
Open page →Browse by topic — LLM foundations, RAG & retrieval, agents, system architecture, enterprise migration, interview prep, and Claude tooling.
Core LLM concepts, prompt engineering, transformers, fine-tuning, and Python foundations for AI work.
Standalone page to explore LLM concepts and behavior in an approachable format.
Open page →Plain-language glossary of AI terms — LLMs, attention, context windows, fine-tuning, and agents.
Open page →Simple offline explainer of self-attention concepts with practical intuition.
Open page →Fast refresher on core Python fundamentals for AI and automation workflows.
Open page →Virtual environments mapped to Maven/Gradle for Java developers on Windows — setup, IDE wiring, troubleshooting, and a reproducible project walkthrough.
Open guide →Interactive follow-on from Python basics covering Pydantic models and building simple agents.
Open page →Interactive reference for models, validation, settings, and LLM structured outputs.
Open page →Indexing, retrieval, hybrid search, and advanced RAG patterns from architecture to production decisions.
Interactive guide to offline indexing and online query pipelines — loaders, chunking, embedding, retrieval, and generation with a step-by-step walkthrough.
Open page →Interactive guide comparing FAISS-style stores with production vector databases — scale, cost, filtering, and a decision checklist with search simulator.
Open page →26 retrieval concepts taught one analogy at a time — mapping tables, LangChain snippets, and where each metaphor breaks — plus a one-page cheat sheet.
Open page →Interactive walkthrough of hybrid retrieval: BM25 + dense → Reciprocal Rank Fusion → cross-encoder rerank → LLM — and why you need both steps.
Open page →Interactive explainer for Corrective RAG: when to add a retrieval quality gate, architecture flow, use cases, and scenario practice.
Open page →Step-by-step guide: decide, retrieve, grade, rewrite, and generate — with architecture, notebook walkthrough, and live demo paths.
Open page →Agent workflows, courses, and LangChain ecosystem notes for building agentic systems.
17 agent workflow patterns — ReAct, reflection, multi-agent, blackboard, and more with search and live flow demos.
Open page →Build AI agents from scratch in plain Python — tools, loops, and structured outputs without a framework.
Open page →Student notes mapping LangGraph, LangChain, Deep Agents, and LangSmith — agents vs harnesses, the v1.0 timeline, and a quick self-check.
Open page →Interactive explainer for Document, page_content, metadata, loaders, splitters, and transformers across the RAG ingestion pipeline.
Open page →GreenPlate self-study: 24 conceptual questions and 10 coding exercises in browse, flashcard, quiz, and code-reading modes.
Open page →Interactive answer key for create_agent, checkpointers, HITL, PII, and stacked prebuilt middleware — with no-API practice sims.
Open page →Interactive architecture pattern guides — agents hub, failures, events, async APIs, and containers.
Partitions, split-brain, partial failures, gray failures, amplification, and cascade demos for resilient system design.
Open page →Competing consumers, projections, event sourcing, outbox, and saga orchestration with animated message flows.
Open page →Short/long polling, SSE, webhooks, WebSockets, and async job APIs with step-by-step sequence playback.
Open page →Sidecar, adapter, ambassador, leader election, work queue, and scatter/gather with interactive pod diagrams.
Open page →Cloud and BI modernisation guides — Cathay Cargo Terminal, Dynamics 365, SSAS to Fabric, plus M&A / PMI IT governance.
WebLogic 12.x → JBoss EAP 8, Oracle → Aurora PostgreSQL, on-prem → AWS — cargo terminal apps, SITA/ACCS integrations, and Entra ID SSO.
Open page →Expanded programme reference — CI/CD, observability, RACI, security, EKS, and detailed cutover runbooks for the Cathay Cargo Terminal AWS modernisation.
Open page →From legacy SSIS/SSAS/SSRS to Azure — ADF, Fabric, Qlik CDC, Dataverse, and enterprise BI notes for HK & India deployments.
Open page →Two-phase path from SQL Server 2016 SSAS Multidimensional (MDX) to Microsoft Fabric Semantic Models — phased delivery, MDX→DAX translation, and zero-disruption cutover.
Open page →Interactive cost model with rate card, labour breakdown, AI leverage calculator, three budget scenarios, Gantt schedule, and resourcing notes for a 9-month programme.
Open page →Interview drills and curated job-search resources for AI and integration architecture roles.
95 practiced answers — SSBI enablement plus Fabric, KQL/T-SQL, JSON→Bronze ingestion, Purview, Snowflake, Spark, Parquet, and DE debugging — with search and progress tracking.
Open drill →Azure Portal SQL, local Excel load, Fabric Bronze→Gold, Direct Lake measures, and the local ↔ Fabric dual track — with mermaid diagrams.
Open architecture →Interactive self-study: 11 modules, a cheat sheet, and flashcards with local progress tracking.
Open page →AIS prep — 28 Q&As, honest briefing, concept analogies, headless/async patterns, and enterprise architecture diagrams with audio practice.
Open drill →Curated AI and ML hiring portals with practical focus for active job search.
Open page →Practical Claude tooling — Claude Code, the Learn Claude course, and a 7-part interactive series.
Beginner-friendly walkthrough for using Claude Code effectively in real projects.
Open page →15-module path from Claude fundamentals to agentic workflows, MCP, skills, hooks, and capstone project.
Open course →Seven interactive guides: APIs, economics, MCP, RAG, multi-agent systems, open-source models, and production readiness.
Open series →