A. Trains a model from scratch
B. Customizes the model architecture
C. Guides the model's response using predefined prompts
D. Involves post-processing model outputs and optimizing hyper parameters
A. Converting text into images
B. Analyzing sentiment n text
C. Transcribing spoken language into written text
D. Recognizing objects in images
A. Classification of data points into categories
B. Creation of realistic images that resemble training data
C. Generation of labeled outputs for training
D. Prediction of continuous values from Input data
