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Meta Kuis AI

Evaluasi rilis Llama tertentu, persyaratan dan konfigurasinya, artefak yang dapat diunduh, produk yang dihosting, dan tanggung jawab operasi lokal.

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Which downloadable model family belongs to Meta’s model ecosystem?

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  1. Which downloadable model family belongs to Meta’s model ecosystem?
    • Llama
    • Claude
    • Gemini
    • Mistral
  2. Before using a downloadable Llama release, what should a team read?
    • Only the family name on a blog post
    • That release’s model card, license, acceptable-use terms and supported configuration
    • A social post about a different checkpoint
    • Only the hosting provider’s marketing page
  3. A benchmark on one Llama checkpoint is used to predict another size’s performance. What is the issue?
    • All sizes and modalities behave identically
    • Only hosted systems can be compared
    • Results do not automatically generalize across releases and configurations
    • Model cards cover only consumer assistants
  4. A team downloads Llama weights to run a model locally. What else may it need?
    • Only a text editor
    • A social-media account
    • No other software or hardware
    • Compatible architecture code, tokenizer, configuration and suitable hardware
  5. A quantized community build is being considered for deployment. What should the team do?
    • Evaluate that exact artifact directly
    • Assume it behaves identically to Meta’s original checkpoint
    • Use the base model card as proof of identical results
    • Skip tests because weights are downloadable
  6. What does a downloadable checkpoint establish about reuse permissions?
    • That all uses are unrestricted
    • Nothing by itself; check the specific license and acceptable-use terms
    • That all training data are public
    • That the deployment has no risks
  7. How can a hosted assistant differ from a downloaded checkpoint?
    • It is necessarily the same system with no added components
    • It never uses tools or policies
    • A product may add tools, policies and other components around a related model
    • It cannot be evaluated on representative tasks
  8. Who must plan infrastructure, security, updates and monitoring for a local model deployment?
    • The weights themselves
    • The model’s training-data publishers
    • Only users who enter prompts
    • The organization operating the deployment