Generational AI
In this blog post, we will be discussing what generational artificial intelligence is, its application in real-life scenarios and its advantages and disadvantages. Generational AI is a type of artificial intelligence that can create new content such as text, images or music. Generational AI can do such by learning from a very large training dataset and then generating new content. Generational AI can be used to create content for new books, images or personalized song experiences as well.
Generational AI in real-life applications
Some examples of generational AI are the following:
ChatGPT is a chatbot powered by GPT-3
GPT-2 and GPT-3 are language models based on the concept of generational transformers and can be used to create
Customer service: Generative AI can be used to create chatbots that can answer customer questions and provide support. This can help businesses to improve customer satisfaction and to reduce the cost of customer service.
Drug discovery: Generative AI can be used to discover new drugs, by generating new molecules that have the potential to be effective treatments for diseases. This can help to accelerate the drug discovery process and to find new treatments for diseases that are currently untreatable.
Generational AI is known to have fast response time, and can respond to queries in real time as well. It is also capable of understanding natural language processing as well but it does have a potential for misuse like impersonation or generation of misleading content
