quiz bu lëkkale ak tegtal · Diggante Niveau

Claude

Xoolaat Claude's IA bu sàrtu ndayu réew, liggéeyu këyitu contexte bu gudd, xeetu niveau yi, ak jëfandikoo kodage ak jàngat ci famiy modelu Anthropic.

Yooni njiit yu jëm ciClaude Famille Modèle
Laaj 1 de 8

Ban liggéeyukaay moo defar famiy model yi?

Xoolaatal laaj bu nekk8 laaj

Sooy def quiz bi, tontu yi ak leeral yi dañuy feeñ.

  1. Ban liggéeyukaay moo defar famiy model yi?
    • Anthropic
    • Meta
    • Amazon
    • Adobe
  2. Ban pexem tàggat yaram moo gëna méngoo ak Claude?
    • pooling konvolusioŋ
    • IA bu sàrtu ndayu réew
    • Algorithm genetik
    • Scripting sàrt yuñ defaree loxo kese
  3. Ban kàttan lañu gëna xamee Claude?
    • Defar ay robot physique
    • Imprime model 3D
    • Jëfandikoo ab palanteer bu yaatu lool ngir dokimaa yu gudd
    • Mining kripto-money
  4. Anthropic dafay fësal mébetam ci Claude di jàppale, baña lore, ak leneen?
    • xoromu
    • nëbbu
    • Hardware buñ tënk
    • Njub
  5. According to Claude Academy, which pairing is recommended for these task types?
    • Haiku for quick lookups and Sonnet for coding or multi-step workflows
    • Haiku for complex reasoning and Opus for only short tasks
    • Every model for the same workload with identical latency
    • Opus only for image compression
  6. What does Anthropic describe Claude Code as helping developers do?
    • Diagnose medical images without clinician review
    • Work with code from a command-line development environment
    • Issue insurance policies from aerial photographs
    • Replace a source-control system without developer input
  7. In Constitutional AI’s second phase, how does AI feedback contribute to training?
    • A human writes every training response from scratch
    • The model removes the language model and trains only a classifier
    • A model uses written principles to compare response pairs and provide preference labels
    • The system uses product pricing to select a model tier
  8. What outcome did Anthropic report from Constitutional AI harmlessness training?
    • It proved the model cannot produce harmful content
    • It guaranteed that every answer is honest and correct
    • It eliminated the need for preference evaluation
    • It reduced harmful responses in evaluation while the paper also discusses evasiveness tradeoffs