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Gen Artificial intelligence: Generative Artificial Intelligence refers to the use of AI to create new content, like text, images, music, audio, and videos. Generative AI is powered by artificial intelligence or programming models (large AI models) that can multi-task and perform out-of-the-box tasks, including summarization, classification, etc. Plus, with minimal training required, foundation models can be adapted for targeted use cases with very little example data.
To discuss further Gen AI works by using an Machine Learning (ML) model to learn the patterns and relationships in a dataset of human-created content. It then uses the learned patterns to generate new content. The most common way to train a generative AI model is to use supervised learning - the model is given a set of human-created content and corresponding labels. It then learns to generate content that is similar to the human-created content and labelled with the same labels. Generative AI solutions used in repetitive contents, creating insights and answers (like FAW, Support, etc.) via text, images, and user-friendly formats. Gen AI solutions are being developed for:
The curriculum for a Python course can vary depending on the level (beginner, intermediate, advanced) and the specific focus of the course (e.g., general Python programming, web development, data science, etc.). However, here's a general curriculum that could be suitable for a beginner to intermediate Python course:
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Mark Jack
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