Below possibly methods being used for Masters demonstration. I had previously looked at Chef Watson.
From OpenAI GPT:
IBM Watson Studio AutoAI is a cloud-based tool that helps users to automatically build, train and deploy machine learning models. It uses a combination of techniques, including deep learning and generative adversarial networks (GANs), to generate synthetic data sets that can be used for training AI models.
The GANs are used to generate synthetic data by creating two neural networks: a generator network and a discriminator network. The generator network generates synthetic data based on a given set of inputs, while the discriminator network evaluates the synthetic data and compares it with the real data set. By iterating through this process, the generator network learns to create more realistic synthetic data sets that can be used for training AI models.
In addition to using GANs for generating synthetic data sets, IBM has also worked on developing generative AI models for other applications. For example, IBM Research has developed a system called "AI Composer" that uses deep learning to generate original musical compositions. They have also developed a system called "Chef Watson" that uses machine learning to generate new and innovative recipe ideas.
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