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Generative AI is a type of artificial intelligence that creates new content, such as text, images, or music.
It uses advanced algorithms and neural networks to generate outputs that are not just copies of existing data.
Generative AI models learn patterns and structures in data to produce unique and realistic results.
Popular types of generative AI include Generative Adversarial Networks (GANs) and Transformers.
It can be used in various fields, from content creation and art to scientific research and simulations.
Generative AI is capable of generating creative outputs that mimic human-like creativity.
It is widely used in industries like entertainment, design, and technology for tasks such as image synthesis and text generation.
As it grows, Generative AI is raising important discussions about ethics, originality, and the implications of AI-generated content.
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Prompt Engineering focuses on creating clear instructions for AI systems to generate specific and desired outputs. They work to improve communication between humans and AI systems, making interactions more effective and aligned with user needs.

This involves crafting queries or requests that guide AI models to deliver accurate and relevant information or creative content.
The goal is to make AI models more straightforward to understand and control, enhancing user-friendliness and aligning with specific tasks or goals.
Prompt Engineers design input prompts carefully to help AI algorithms produce the best possible results. The focus is on selecting the right words and phrases when giving instructions to the AI to ensure desired outcomes. Prompt Engineering is crucial for adjusting language models in various applications such as chatbots, content creation, and data analysis. It ensures that AI systems produce the intended responses and function effectively across different scenarios. If you want to learn Prompt Engineering from industry expert trainers, the Gen AI masters are the best opti