What is Generative AI?
Generative AI, also known as Generative Adversarial Networks (GANs), refers to a class of artificial intelligence algorithms that are designed to generate new content, such as images, videos, music, or text, that is similar to a given training dataset. GANs consist of two neural networks: a Generator and a Discriminator. The generator network generates new data samples, while the discriminator network evaluates the generated samples against real samples from the training set.
Generative AI has gained significant attention in recent years due to its ability to create novel and creative outputs. It has been used in various domains, including image synthesis, text generation, music composition, and even deepfake creation. However, it also raises ethical considerations and challenges related to the potential misuse or malicious manipulation of generated content. Overall, generative AI holds great potential for generating new and realistic content, enabling applications such as artistic expression, data augmentation, and creative design.
Know more about ChatGPT
ChatGPT is a language model developed by OpenAI. It is designed to generate human-like responses to natural language prompts and engage in conversational interactions. ChatGPT has been trained on a diverse range of internet text and has a vast amount of knowledge about various topics up until September 2021. It can provide information, answer questions, assist with problem-solving, and engage in open-ended conversations. The purpose of ChatGPT is to assist users in finding information, offering suggestions, and facilitating natural language communication. It can be used in a wide array of applications, including customer support, language translation, content generation, and more.