- Added on November 15 2023
- https://chat.openai.com/g/g-OwmmEsa64-sheng-cheng-shi-aijiao-cheng-chu-ji-ban
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FAQ from 《生成式AI教程》初級版?
Generative AI involves training a machine learning model to generate new data based on patterns it has learned from a given dataset. This can be applied to various tasks, such as creating realistic images or text. The basic concept is to train a model to learn the patterns in the data and then generate new data that follows those patterns.
Generative AI is used in various applications, such as creating realistic images, generating music or speech, and even in video game development. It can also be used in drug discovery by generating new chemicals that could have potential medicinal properties. Additionally, it can be applied in data augmentation to generate more training data for machine learning models.
Building generative AI models can be challenging due to the complexity of the models and the need for large amounts of high-quality training data. Additionally, there are challenges in ensuring that the generated data is diverse and not just a replica of the training data. There is also the risk of the model generating inappropriate or harmful content, requiring careful monitoring and regulation.