1. Guardrails advanced

    A platform must prevent harmful outputs in a user-facing AI feature. Where should guardrails sit, and what does each layer catch?

    2 min answer guardrailslayersmoderationfalse-positives
  2. Guardrails advanced

    An insurance company wants an LLM to draft claim decision letters. What is your architecture?

    2 min answer ai-governanceguardrailshuman-in-the-loop
  3. Human in the Loop advanced

    A pipeline combines automated processing with human review at scale. How should the boundary between them be designed?

    2 min answer scale-aihuman-in-looproutingquality
  4. Human in the Loop advanced Multiple choice

    An AI system routes decisions to human review. The override rate is 0.3%. Is the oversight working?

    2 min answer oversightautomation-biasdesign
  5. Human in the Loop advanced

    Design the moderation path for user-generated content at high volume, where both false positives and false negatives are costly.

    2 min answer moderationmloversightdesign
  6. LLM Application Architecture advanced

    A workspace product adds AI features over user content. Which architectural decisions dominate, and which are commonly deferred at cost?

    2 min answer llm-applicationpermissionslatencycaching
  7. LLM Application Architecture advanced

    An LLM chat product serves millions of multi-turn conversations. How do KV-cache reuse, prefix caching, continuous batching and session affinity change the architecture, and what breaks when a session lands on a different GPU?

    3 min answer character-aikv-cacheprefix-cachinginference
  8. LLM Application Architecture advanced

    Zoom publicly describes the architecture behind its AI Companion as a federated approach - its own models used alongside third-party frontier models, with work routed by task rather than every request going to a single provider. What problem does that structure solve that a single-provider design does not, and where would copying it be a mistake?

    3 min answer model-routingmulti-providercostevaluation
  9. LLM Evaluation advanced

    A platform ships AI features and cannot tell whether changes improve or degrade quality. What evaluation infrastructure is required, and in what order?

    2 min answer evaluationregressionofflineonline
  10. LLM Evaluation advanced

    A team ships an LLM feature and cannot tell whether changes improve it. What evaluation infrastructure is needed, and what does it not solve?

    2 min answer unacademyevaluationgolden-setregression
  11. LLM Evaluation advanced

    You are asked to prove an AI assistant is good enough to launch. How do you construct the evidence?

    2 min answer evaluationlaunchgovernance
  12. LLM Evaluation advanced

    Your RAG assistant gives confident answers that are subtly wrong. Where do you look first?

    2 min answer ragevaluationdiagnosis