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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 Inferencing
B . Preprocessing, Training, and Postprocessing
C . Initialization, Training, and Deployment
D . Data Collection, Model Building, and Evaluation
Answer: A
Explanation:
Training: The initial phase where the model learns from a large dataset. This involves feeding the model vast amounts of text data and using techniques like supervised or unsupervised learning to adjust the model’s parameters.
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