Day 3: Navigating the Landscape of Generative Models

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Key Points:

  • Generative AI is a type of AI that can create new content, such as images, text, and audio.
  • Generative Image Models use techniques like diffusion to create images from prompts or existing images.
  • Generative Language Models learn patterns in language from training data and can generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way.  
  • Predictive Models take data and labels as input, learn the relationship between them, and output the label.
  • Prompt Design is the process of creating a prompt that will generate the desired output from a language model.

Examples of Generative AI Applications:

  • Image Generation: Creating images from text descriptions.
  • Image Captioning: Generating text descriptions of images.
  • Text Generation: Writing different kinds of creative content, translating languages, and answering questions.
  • Translation: Translating text from one language to another.
  • Summarization: Condensing text into a shorter version.
  • Question Answering: Answering questions based on given information.


Location: Bengaluru, Karnataka, India

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