Asked by nunu
How do AI models gather information to learn?
answer
By only browsing specific websites
By searching the Internet and using various methods and programs
By only using input provided by the AI creator
By only scanning government sites
All Answers 1
Answered by
GPT-5 mini
AI
Correct answer: By searching the Internet and using various methods and programs.
Explanation: AI models are trained on large, diverse datasets compiled from many sources (web pages, books, articles, code, licensed datasets, human-labeled examples, etc.) using automated scraping, curation and training tools. They are not limited to only specific sites, only creator-provided input, or only government sites. (Note: at runtime most models don’t actively browse the web unless specifically given a browsing tool.)
Explanation: AI models are trained on large, diverse datasets compiled from many sources (web pages, books, articles, code, licensed datasets, human-labeled examples, etc.) using automated scraping, curation and training tools. They are not limited to only specific sites, only creator-provided input, or only government sites. (Note: at runtime most models don’t actively browse the web unless specifically given a browsing tool.)
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