Quiz połączony z przewodnikiem · Średni Poziom
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Pytanie 1 z 8
What does the term open-weight most precisely mean?
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- What does the term open-weight most precisely mean?
- The model is free to use with no license terms
- The model's training data is fully public
- The model can only run on open-source hardware
- The trained parameters can be downloaded, but training data and often code are not released
- Under Meta's Llama community license, which companies need a separate license from Meta?
- Any company using the model commercially
- Companies above 700 million monthly active users
- Companies outside the United States
- Companies with more than 100 employees
- Which license was Mistral 7B released under?
- Apache 2.0
- A custom community license with a user threshold
- A proprietary API-only license
- W ogóle nie ma licencji
- Which downside of proprietary models does the guide highlight?
- They cannot be accessed through an API
- They never offer enterprise support
- The vendor can change prices, update behavior or retire model versions on its own schedule
- They always use customer data for training
- How should a business confirm whether a proprietary provider trains on its API data?
- Assume it never does
- Assume it always does
- Ask the model itself
- Check the contract and terms rather than assuming
- Why does the guide recommend putting model calls behind a thin internal interface?
- So switching providers means changing configuration rather than application code
- To make models answer faster
- To avoid paying for output tokens
- Because licenses require it
- Why should you pin model versions where possible?
- Pinned versions are always cheaper
- Pinning removes all licensing obligations
- An unannounced change in behavior can break prompts tuned for an earlier version
- Pinning lets you download proprietary weights
- Which organization published an Open Source AI Definition in 2024?
- Meta
- The Open Source Initiative
- The European Commission
- NVIDIA