GenAI Overview | How does a GenAI application work?
Discover how GenAI apps function: Dive into their mechanics, from data processing to AI-driven output generation, for informed usage
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Generative artificial intelligence (GenAI) is artificial intelligence capable of generating text, images, or other data using generative models, often in response to prompts. Generative AI models learn the patterns and structure of their input training data and then generate new data that has similar characteristics.
Introduction
What is Gen AI?
The concepts of AI, ML, Deep Learning, LLMs, and Foundation Models collectively form the bedrock of Generative AI (GenAI). While AI provides the overarching framework for intelligent systems, ML and Deep Learning contribute the methodologies and structures, such as neural networks, for these systems to learn and adapt. LLMs and Foundation Models, especially those utilizing transformers and retrieval-augmented generation, advance this further by enabling the processing and generation of human-like text.
GenAI stands at the convergence of these technologies, harnessing their combined strengths to create intelligent applications that can generate novel, relevant, and contextually rich content. This technology in project management can streamline processes, foster innovation, and drive efficient decision-making among many other applications. Before getting inro more details on GenAI, lets begin with the fundamentals of AI/ML.
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