What can a machine do better after training in Artificial Intelligence?
Answer and explanation
Correct answer: सीखे हुए पैटर्न के आधार पर नए इनपुट के परिणाम का अनुमान लगाना
During training, an AI model learns relationships or patterns from examples. Afterward, it can apply those learned patterns to new inputs and estimate a category or likely outcome. This is generalisation, not simple memorisation. However, performance depends on the quality and relevance of training data, so training does not guarantee perfect decisions in every unfamiliar situation.
Frequently asked questions
What is the correct answer to this question?
सीखे हुए पैटर्न के आधार पर नए इनपुट के परिणाम का अनुमान लगाना
Why is this the correct answer?
During training, an AI model learns relationships or patterns from examples. Afterward, it can apply those learned patterns to new inputs and estimate a category or likely outcome. This is generalisation, not simple memorisation. However, performance depends on the quality and relevance of training data, so training does not guarantee perfect decisions in every unfamiliar situation.
Which subject and chapter does this question cover?
This is a Class 9 Artificial Intelligence question. Chapter: Reflection, Project Cycle, and Ethics. Topic: Introduction to AI.
