Learning Hub

Core generative AI concepts — transformers, attention, tokenization

Large language model architectures, capabilities, and limitations

200+ AI/ML terms with definitions and context

GitHub Copilot agent primitives — the 7-layer model

Prompt engineering patterns — zero-shot, few-shot, chain-of-thought

Retrieval-Augmented Generation — chunking, indexing, retrieval, reranking

Zero-temperature, seed pinning, structured output, guardrails

SK plugins, planners, function calling, orchestration

Agent patterns — AutoGen, CrewAI, LangChain, custom agents

Model Context Protocol — tool calling, server design, integration

Azure OpenAI, AI Search, AI Foundry, Content Safety

GPU sizing, AKS node pools, PTU allocation, networking

GitHub Copilot ecosystem — extensions, agents, workspace

LoRA, QLoRA, JSONL data prep, evaluation pipelines

Content safety, fairness, bias detection, transparency

Deployment patterns, monitoring, incident response, scaling