| Sumario: | Traditional AI systems are primarily used to analyze data and make predictions. Generative AI, however, expands on these capabilities by creating new data similar to its training data. This advancement enables the generation of various forms of new content, including audio, code, images, text, simulations, and videos. Generative AI refers to any machine learning model capable of dynamically creating output after it has been trained. Importantly, the scope of generative AI extends far beyond content generation. The potential applications of generative AI models are vast, ranging from music composition and video generation to molecular modeling in drug discovery and medical diagnostics. As the technology continues to evolve, its applications are poised to extend into new domains.
|
|---|