GH-300 · Question #4
How does GitHub Copilot Chat utilize its training data and external sources to generate responses when answering coding questions?
The correct answer is C. It combines its training data set, code in user repositories, and external sources like Bing to. GitHub Copilot Chat uses a hybrid approach: (1) the underlying large language model's training data provides broad programming knowledge, (2) the code and files open in the user's editor or repository provide local context, and (3) for certain queries (especially factual or…
Question
How does GitHub Copilot Chat utilize its training data and external sources to generate responses when answering coding questions?
Options
- AIt primarily relies on the model's training data to generate responses.
- BIt primarily uses search results from Bing to generate responses.
- CIt combines its training data set, code in user repositories, and external sources like Bing to
- DIt uses user-provided documentation exclusively to generate responses.
How the community answered
(62 responses)- A8% (5)
- B2% (1)
- C87% (54)
- D3% (2)
Explanation
GitHub Copilot Chat uses a hybrid approach: (1) the underlying large language model's training data provides broad programming knowledge, (2) the code and files open in the user's editor or repository provide local context, and (3) for certain queries (especially factual or documentation-heavy ones), it can integrate results from Bing search to supplement its knowledge. This multi-source strategy makes responses more accurate and contextually relevant than any single source alone. Options A, B, and D each describe only one isolated source, which is incomplete and therefore incorrect.
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