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Generative AI

Generative AI is a subfield of artificial intelligence which focuses on the development of AI models that can generate output from a given input, such as natural language processing, image generation, music composition, and speech synthesis. By leveraging large datasets and Deep Learning models, generative AI can create data that previously did not exist, enabling new applications and opportunities for automation.
  1. Learn Generative AI with the Practica AI Coach

    The Practica AI Coach helps you improve in Generative AI by using your current work challenges as opportunities to improve. The AI Coach will ask you questions, instruct you on concepts and tactics, and give you feedback as you make progress.
  2. What is generative artificial intelligence?

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  3. Prompt Engineering

    The key to effective generative AI is prompt engineering, which involves designing prompts that allow the AI to generate high-quality outputs. This process requires careful consideration of the data inputs, as well as the desired output format and quality.
  4. Prompt Engineering for text-to-image

    Prompt engineering for text-to-image generation is particularly challenging, as it requires the model to understand complex relationships between words and images.
  5. Using Generative AI in Product Development

    Generative AI is increasingly being used inside of other tech products. Building with this technology comes with a new set of challenges and questions that are explored in this section.
  6. Chatbots

    Chatbots are a popular application of generative AI, allowing companies to provide automated Customer Service and support. Careful consideration must be given to the design and implementation of chatbots to ensure they are effective.