Data Net Blog
IT seems it is virtually impossible to avoid hearing about Artificial Intelligence (AI). Ever since ChatGPT hit the market, AI has become a never ending source of news, articles, advertisements, and lots of gloom. Artificial intelligence isn’t exactly new--the term goes back to the mid-1950s. Artificial Intelligence is a broad term and encompasses a few different subsets of processes. Generally, it refers to machines or computers doing things that we consider a skill limited to human intelligence. What has caught the public eye is what is labeled “generative AI”. Generative AI (e.g ChatGPT) refers to the AI tools that can create content, music, images, code and voice. One of the reasons generative AI is so widespread in its applications is that it doesn’t require coding skills for a layperson to use it, instead the user can instruct the tool to create content by using natural language.
Artificial Intelligence (AI) has been all the media rage in the past year. Specifically, it isn't AI in general, but a specific category of AI known as generative AI. This AI is capable of creating content, such as text, images, audio and similar data. Examples of generative AI tools can create content, music, image code, and voice. What this can include are documents that are used for marketing and other content on websites, as well as images, video, and audio. What made generative AI more widespread are the tools that use natural language to utilize them. It doesn;t necessarily require expertise in coding anymore. The generative AI tool that hit the news and has everyone curious about this development is ChatGPT. This allows any user to create conversations, answer text, and similar “written responses.” ChatGPT and similar tools are available to almost anyone.