How do container networks differ from published ports?
A private container network enables member communication, whereas a published port creates a host-to-container route.
Read articlePractical reference
Answers to common questions.
Clear answers to the questions that come up while working through the curriculum.
25articles
How should I choose an AI model?
Choose against a defined task and constraints, verify the exact model identifier in official documentation, and test it with a repeatable fixture.
Read articleWhat contributes to AI cost?
AI cost can include tokens, retrieval, tools, retries, storage, platform capacity, and human review.
Read articleWhat does generated Kubernetes YAML represent?
Generated Kubernetes-style YAML describes a local Podman state for review and is not an approved cluster deployment.
Read articleWhat is a named volume?
A named volume is Podman-managed storage that exists separately from a container and can outlive it.
Read articleWhat is a temporal knowledge graph?
A temporal knowledge graph records relationships and when a claim applied, enabling time-bounded answers.
Read articleWhat is agent interoperability?
Agent interoperability lets separate systems exchange defined tasks and results but does not establish trust or transfer authority.
Read articleWhat is agent sandboxing?
Agent sandboxing limits what untrusted generated code can read, change, contact, and consume.
Read articleWhat is an agent handoff?
An agent handoff preserves verified evidence, remaining work, authority, and a completion check for the next worker.
Read articleWhat is an AI eval?
An eval is a repeatable check of whether an AI feature meets explicit requirements across fixed cases.
Read articleWhat is an AI trust boundary?
A trust boundary separates untrusted prompts, documents, tool replies, and model output from enforceable application policy.
Read articleWhat is an inference provider?
An inference provider is the hosted, managed, or self-operated endpoint that receives a model request and returns output.
Read articleWhat is an LLM gateway?
An LLM gateway sits between applications and model providers to centralize routing, authentication, policy checks, and observability.
Read articleWhat is context engineering?
Context engineering selects and structures relevant, authorized, traceable information for one bounded task.
Read articleWhat is MCP?
Model Context Protocol lets a client discover and invoke server capabilities, while server-side validation and authorization remain necessary.
Read articleWhat is prompt engineering?
Prompt engineering makes a task, permitted evidence, output requirements, constraints, and checks explicit for review.
Read articleWhat is quantization?
Quantization represents model values with fewer bits to reduce storage or memory traffic, without guaranteeing accuracy, speed, or compatibility.
Read articleWhat is RAG?
Retrieval-augmented generation supplies selected document passages to a model before it answers, so the retrieved evidence still needs review.
Read articleWhat is runtime context?
Runtime context is the task-specific information selected for one model request rather than everything a system has stored.
Read articleWhat is test-driven prompt engineering?
Test-driven prompt engineering compares a baseline and revision against the same representative inputs and fixed rubric.
Read articleWhat is the AI supply chain?
An AI supply chain includes the model, prompt, documents, connectors, packages, runtime, and other components that can change behavior.
Read articleWhat is the difference between a tag and a digest?
A tag is a readable label that can move, while a digest identifies the exact image content received.
Read articleWhat is the difference between an image and a container?
An image is a saved application package, while a container is a running or stopped working copy made from that image.
Read articleWhat makes a model deployment private?
A local or private model deployment still requires controls for gateways, identity, retrieval, logs, and operator access.
Read articleWhy is memory a write problem?
Durable memory needs checks for purpose, evidence, access, review, correction, and deletion before a claim is retained.
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