Getting Started on Prompt Engineering with Generative AI
Introduction to prompt engineering techniques for generative AI.
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AI (Artificial Intelligence) refers to machines that can learn, reason, and make decisions. It works through algorithms, neural networks, and machine learning models that process data and improve over time.
AI is changing jobs rather than replacing them. While some repetitive tasks are automated, AI also creates new job opportunities in AI development, data analysis, and automation management.
AI is the broad concept of machines mimicking human intelligence. Machine Learning (ML) is a subset of AI where systems learn from data. Deep Learning (DL) is a type of ML using neural networks to process complex patterns.
AI is a tool, and like any technology, it depends on how it’s used. Ethical concerns exist, but AI cannot "think" or act on its own—it follows programmed rules and training data.
Yes! No-code AI tools like ChatGPT, RunwayML, and Google AutoML allow beginners to create AI-powered projects without coding. However, learning programming (Python, TensorFlow) can help for advanced AI development.