Q16. A team is analyzing the performance of their Al models and noticed that the models are reinforcing existing flawed ideas.
What type of bias is this?

Q17. A company is developing an Al strategy.
What is a crucial part of any Al strategy?

Q18. What is one of the objectives of Al in the context of digital transformation?

Q19. A healthcare company wants to use Al to assist in diagnosing diseases by analyzing medical images.
Which of the following is an application of Generative Al in this field?

Q20. You are tasked with creating a model that uses a competitive setting between two neural networks to create new data.
Which model would you use?

Q21. What impact does bias have in Al training data?

Q22. You are developing a new Al model that involves two neural networks working together in a competitive setting to generate new data.
What is this model called?

Q23. A tech company is developing ethical guidelines for its Generative Al.
What should be emphasized in these guidelines?

Q24. What strategy can an organization implement to mitigate bias and address a lack of diversity in technology?

Q25. What is the purpose of fine-tuning in the generative Al lifecycle?

Q26. A legal team is assessing the ethical issues related to Generative Al.
What is a significant ethical issue they should consider?

Q27. What is a principle thatguides organizations, government, and developers towards the ethical use of Al?

Q28. What is the first step an organization must take towards developing an Al-based application?

Q29. A machine learning engineer is working on a project that involves training a model using labeled data.
What type of learning is he using?

Q30. In a Generative Adversarial Network (GAN), you have a network that evaluates whether the data generated by the other network is real or fake. What is this evaluating network called?

Q31. What is feature-based transfer learning?

Q32. Whatstrategy can an Al-based company use to develop a continuous improvement culture?

Q33. A company is considering using deep neural networks in its LLMs.
What is one of the key benefits of doing so?

Q34. A company is implementing governance in its Generative Al.
What is a key aspect of this governance?

Q35. What is the significance ofparameters in Large Language Models (LLMs)?

Q36. A team is working on improving an LLM and wants to adjust the prompts to shape the model’s output.
What is this process called?

Q37. What is P-Tuning in LLM?

Q38. What is the primary function of Large Language Models (LLMs) in the context of Natural Language Processing?