Text models in Generative AI endeavor to produce human-like text by drawing upon extensive training data, often sourced from the vast expanse of the internet. These systems emulate human communication without possessing actual intelligence, functioning as intricate predictive models that anticipate the appearance of words based on millions of example texts. The application of generative texts extends to the development of chatbots, exemplified by the renowned ChatGPT. Notably, these models prove exceptionally valuable in simplifying writing tasks and have found practical utility in generating and correcting programming code. Many users leverage them for brainstorming and drafting ideas. It's essential to recognize that these models lack genuine "understanding" of their content; rather, they repetitively reproduce patterns gleaned from the extensive corpus of documents that inform their output.
Examples: OpenAI (ChatGPT), Google Bard, Perplexity.ai, HuggingChat
Similar to its application in the realm of text, AI has gained renown for its utilization in image creation. Models undergo exposure to billions of images procured from the internet, each meticulously labeled by human annotators. Subsequently, new synthetic images are generated through text input, drawing upon the discerned patterns within these vast datasets. It is crucial to bear in mind ethical considerations when working with AI-created images, as they may occasionally prompt inquiries regarding authenticity and copyright. It is advisable to remain cognizant of these issues and exercise responsible use of AI-generated images in your work.
Examples: Dall-E, Stable Diffusion, Midjourney, DreamStudio
While not reaching the level of sophistication seen in their image or text counterparts, AI generative sound models have emerged. Similar to other generative AI approaches, sound models rely on extensive training datasets. As of now, many of these models are associated with more constrained training datasets, and they lack the flexibility observed in text and image generators. However, the landscape is evolving rapidly, with significant changes anticipated.
Examples: Stable Audio - AI Music Creator, Soundful, Murf.ai, MuseNet, NSynth