generate_next_machine_learning_idea.py

    import random
    c = random.choice
    areas = ["rl", "transfer learning", "attention", "distillation", "unsupervised learning", 'multi-task learning']
    architectures = ["transformers", "RNNs", "CNNs", "ResNETs", "NeuralODEs", "Autoencoders", "GANs"]
    applications = ["Games", "NLP", "Driving", "Art", "Robotics", "Health"]
    datatypes = ["images", "video", "audio", "text", "DNA"]
    action = ["Advancing", "Discovering", "Examining", "Learning", "Automating"]

    area, architecture, applicaiton, datatype, action = c(areas), c(architectures), c(applications), c(datatypes), c(action)

    print(f"{action} {applicaiton} using {datatype} with {area} and {architecture}")