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What are the three broad steps in the lifecycle of Al for Large Language Models?
What are the three broad steps in the lifecycle of Al for Large Language Models?A . Training, Customization, and InferencingB . Preprocessing, Training, and PostprocessingC . Initialization, Training, and DeploymentD . Data Collection, Model Building, and EvaluationView AnswerAnswer: A Explanation: Training: The initial phase where the model learns from a...
What is the primary purpose of fine-tuning in the lifecycle of a Large Language Model (LLM)?
What is the primary purpose of fine-tuning in the lifecycle of a Large Language Model (LLM)?A . To randomize all the statistical weights of the neural networkB . To customize the model for a specific task by feeding it task-specific contentC . To feed the model a large volume of...
What is one of the positive stereotypes people have about Al?
What is one of the positive stereotypes people have about Al?A . Al is unbiased.B . Al is suitable only in manufacturing sectors.C . Al can leave humans behind.D . Al can help businesses complete tasks around the clock 24/7.View AnswerAnswer: D Explanation: 24/7 Availability: AI systems can operate continuously...
Why is diversity important in Al training data?
Why is diversity important in Al training data? A. To make Al models cheaper to develop B. To reduce the storage requirements for data C. To ensure the model can generalize across different scenarios D. To increase the model's speed of computationView AnswerAnswer: C Explanation: Diversity in AI training data...
What is P-Tuning in LLM?
What is P-Tuning in LLM?A . Adjusting prompts to shape the model's output without altering its core structureB . Preventing a model from generating malicious contentC . Personalizing the training of a model to produce biased outputsD . Punishing the model for generating incorrect answersView AnswerAnswer: A Explanation: Definition of...
What is Artificial Narrow Intelligence (ANI)?
What is Artificial Narrow Intelligence (ANI)? A. Al systems that can perform any task autonomously B. Al systems that can process beyond human capabilities C. Al systems that can think and make decisions like humans D. Al systems that can perform a specific task autonomouslyView AnswerAnswer: D Explanation: Artificial Narrow...
Why should artificial intelligence developers always take inputs from diverse sources?
Why should artificial intelligence developers always take inputs from diverse sources?A . To investigate the model requirements properlyB . To perform exploratory data analysisC . To determine where and how the dataset is producedD . To cover all possible cases that the model should handleView AnswerAnswer: D Explanation: Diverse Data...
What is the primary purpose oi inferencing in the lifecycle of a Large Language Model (LLM)?
What is the primary purpose oi inferencing in the lifecycle of a Large Language Model (LLM)?A . To customize the model for a specific task by feeding it task-specific contentB . To feed the model a large volume of data from a wide variety of subjectsC . To use the...
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 are the potential impacts of Al in business? (Select two)
What are the potential impacts of Al in business? (Select two)A . Limiting the use of data analyticsB . Increasing the need for human interventionC . Reducing production and operating costsD . Improving operational efficiency and enhancing customer experiencesView AnswerAnswer: C D Explanation: Reducing Costs: AI can automate repetitive and...
