Which ML technique uses training data that is labeled with the correct output values?
Answer(s): A
Supervised learning trains models on datasets where each example includes both input features and the correct output label, allowing the algorithm to learn the mapping from inputs to known targets.
Which option is a disadvantage of using generative AI models in production systems?
Answer(s): D
Generative AI models can produce hallucinations and inaccurate outputs, which introduces reliability and trust risks when deployed in production systems.
A healthcare company is building an AI solution to predict patient readmission within 30 days of patient discharge. The company has trained a model on historical patient data including medical history,demographics, and treatment specifications, to provide readmission predictions in real time.Which task describes AI model inference in this scenario?
Model inference refers to the process of applying a trained model to new data—in this case, using the trained model to make real-time predictions about whether a patient will be readmitted within 30 days of discharge.
A company wants to extract key insights from large policy documents to increase employee efficiency.Which generative AI strategy meets this requirement?
Answer(s): C
Summarization is a generative AI strategy that extracts and condenses the key insights from large documents,such as policy documents, making it easier for employees to quickly understand and act on essential information.
A company wants use a large language model (LLM) in the company's internal AI assistant. The company wants to customize the LLM by using medical papers to familiarize the LLM with medical topics.Which technique will meet these requirements?
Continuous pre-training adapts an existing LLM to a specialized domain by further training it on large amounts of unlabeled domain-specific text, such as medical papers. This helps the model learn medical terminology,concepts, and language patterns while retaining its general capabilities.
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