Flashcards
Learn the concepts one card at a time. Pick a deck, flip each card, and mark what you know as you go.
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Agentic AI
- Prompting Part 1/4 — what an agent is, role-based prompting, Chain-of-Thought and ReAct, refining prompt instructions, prompt chaining with gate checks, and LLM feedback loops.
- Workflows Part 2/4 — agents vs. deterministic automation, workflow modeling, agent archetypes, and the five core patterns: prompt chaining, routing, parallelization, evaluator-optimizer, orchestrator-workers.
- Tools, Memory & RAG Part 3/4 — function calling, structured outputs, agent state as a state machine, short- and long-term memory, external APIs, web search, databases, agentic RAG, and agent evaluation.
- Multi-Agent Systems Part 4/4 — orchestrator vs. peer-to-peer architecture, building reliable agents and tools, orchestration and routing patterns, state management and coordination under concurrency, and multi-agent RAG.
- Git The concepts behind branching, merging, rebasing, cherry-picking, bisecting, reflog, worktrees, filter-repo, and the object database inside .git.