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What is the purpose of fine-tuning in the generative Al lifecycle?
What is the purpose of fine-tuning in the generative Al lifecycle?A . To put text into a prompt to interact with the cloud-based Al systemB . To randomize all the statistical weights of the neural networkC . To customize the model for a specific task by feeding it task-specific contentD...
What strategy can an organization implement to mitigate bias and address a lack of diversity in technology?
What strategy can an organization implement to mitigate bias and address a lack of diversity in technology?A . Limit partnerships with nonprofits and nongovernmental organizations.B . Partner with nonprofit organizations, customers, and peer companies on coalitions, advocacy groups, and public policy initiatives.C . Reduce diversity across technology teams and roles.D...
What is Transfer Learning in the context of Language Model (LLM) customization?
What is Transfer Learning in the context of Language Model (LLM) customization?A . It is where you can adjust prompts to shape the model's output without modifying its underlying weights.B . It is a process where the model is additionally trained on something like human feedback.C . It is a...
What are the three key patrons involved in supporting the successful progress and formation of any Al-based application?
What are the three key patrons involved in supporting the successful progress and formation of any Al-based application?A . Customer facing teams, executive team, and facilities teamB . Marketing team, executive team, and data science teamC . Customer facing teams, HR team, and data science teamD . Customer facing teams,...
What is the difference between supervised and unsupervised learning in the context of training Large Language Models (LLMs)?
What is the difference between supervised and unsupervised learning in the context of training Large Language Models (LLMs)?A . Supervised learning feeds a large corpus of raw data into the Al system, while unsupervised learning uses labeled data to teach the Al system what output is expected.B . Supervised learning...
What is artificial intelligence?
What is artificial intelligence? A. The study of computer science B. The study and design of intelligent agents C. The study of data analysis D. The study of human brain functionsView AnswerAnswer: B Explanation: Artificial intelligence (AI) is a broad field of computer science focused on creating systems capable of...
What is the primary function of Large Language Models (LLMs) in the context of Natural Language Processing?
What is the primary function of Large Language Models (LLMs) in the context of Natural Language Processing?A . LLMs receive input in human language and produce output in human language.B . LLMs are used to shrink the size of the neural network.C . LLMs are used to increase the size...
What is the first step an organization must take towards developing an Al-based application?
What is the first step an organization must take towards developing an Al-based application?A . Prioritize Al.B . Develop a business strategy.C . Address ethical and legal issues.D . Develop a data strategy.View AnswerAnswer: D Explanation: The first step an organization must take towards developing an AI-based application is to...
What impact does bias have in Al training data?
What impact does bias have in Al training data?A . It ensures faster processing of data by the model.B . It can lead to unfair or incorrect outcomes.C . It simplifies the algorithm's complexity.D . It enhances the model's performance uniformly across tasks.View AnswerAnswer: B Explanation: Definition of Bias: Bias...
What is the purpose of the explainer loops in the context of Al models?
What is the purpose of the explainer loops in the context of Al models?A . They are used to increase the complexity of the Al models.B . They are used to provide insights into the model's reasoning, allowing users and developers to understand why a model makes certain predictions or...
