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1st Grade

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10 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is generative artificial intelligence (IAG)?

  1. An artificial intelligence approach focused on the creation of new data or content.

  1. An artificial intelligence algorithm designed for pattern recognition.

  1. An artificial intelligence technique used for the analysis of large volumes of data.

  1. All the above answers

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In what areas can the lAG be applied according to the text?

  • Medicine, art and education.

  • Engineering, social sciences and agriculture.

  • Finance, sports and tourism.

  • All the above answers

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What are some of the IAG tools mentioned?

  • Neural networks, genetic algorithms and diffuse logic.

  • Expert systems, machine learning and data mining.

  •   Augmented reality, virtual reality and natural language processing.

  • All the above answers

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does the mode of access to lAG applications vary?

  • From mobile devices to desktop systems.

  • Through the internet and private networks.

  • All the above answers

  • Through voice and virtual reality interfaces.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main focus of the IAG in medical education?

  • Improve the accuracy of medical diagnoses.

  • Facilitate access to medical information for students.

  • ncourage the creation of personalized educational content.

  • All the above answers

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How can generative artificial intelligence improve continuous evaluation in medical education?

  • Automatically generating adaptive evaluation questions.

  • Monitoring students' progress in real time.

  • Creating simulations of clinical cases for realistic practices.

  • All the above answers

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the objective of generative artificial intelligence (IAG)?

  • Generate new ideas and content.

  • Automate repetitive processes.

  • Analyze large sets of data.

  • All the above answers

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