Generative AI: A Beginner's Viewpoint
Author(s): Rashmi
Originally published on Towards AI.
The GenAI Buzz: What It’s Like to Start Working in This Field
Generative AI (GenAI) is a branch of AI that creates new content — text, code, images, audio, and video — by learning patterns from large datasets and then sampling from those patterns to produce novel outputs. The most common engines are Large Language Models (Transformers) for text/code and diffusion or GAN/ VAE models for images and other media.
The article delves into the fundamentals of Generative AI, explaining how it utilizes neural networks to create content by learning patterns from vast amounts of data, covering the evaluation criteria for such systems, and offering insights into the training and inferencing parameters that govern their performance. It highlights practical applications like chatbots, coding assistants, and data synthesis, illustrating the significance of these systems in everyday contexts and their ongoing development within the AI field.
Read the full blog for free on Medium.
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Note: Article content contains the views of the contributing authors and not Towards AI.
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