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Meta Câu đố về AI

Đánh giá bản phát hành Llama cụ thể, các điều khoản và cấu hình của nó, các thành phần có thể tải xuống, các sản phẩm được lưu trữ và trách nhiệm của hoạt động cục bộ.

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Câu hỏi 1 của 8

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

Xem trước mọi câu hỏi8 câu hỏi

Câu trả lời và giải thích xuất hiện khi bạn làm bài kiểm tra.

  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