Generative AI
Generative AI has received considerable attention in the recent past. It is a form of AI that can generate unique content (images, video, audio, tests, and even code or logic) based on the provided keywords, where the content’s quality closely mimics the content a human would have created.
This aspect of generating unique content differentiates generative AI from traditional AI, which relied primarily on a predefined set of patterns, rules, formulas, and more. Additionally, generative AI is trained on a considerable volume and variety of input data/content (images, sound, video, programming patterns, and more) and it can self-learn or adapt to insert novel/unique elements into the generated content rather than simply combine content from multiple input sources. In addition to being trained on a huge corpus of content, generative AI leverages deep learning techniques to continuously fine-tune parameters, resulting in more and more authentic output with time.
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