In just a few months, a number of applications of artificial intelligence have swept the internet. Experts say that after the advent of artificial intelligence, the world will never return to its original state. Some even compare the revolution brought about by these applications to the revolution of the Internet itself, the revolution caused by emergence.
In just a few months, image generation applications such as ChatGPT, DALL-E, and Midjourny, which provide text generation services, have become a global topic and interest, making ChatGPT the fastest growing Internet application, so the giant Microsoft invested $ 10 billion in it and acquired the right to use it in his program. How do these new technologies work? What is the secret of its strength and ability to generate works that are indistinguishable from human production?
Generative artificial intelligence
These applications are based on an artificial intelligence technology that has been in development for years, known as generative AI and named for its ability to create new content from data that already exists. The technology's capabilities range from generating images, sounds, and text to video clips.
The technology trains an AI model on large collections of human work, such as books, articles, and graphics, so that the model uses this data to learn patterns and relationships between different elements within it. After training on the data, the model can be used to generate new content by predicting the next item in a set of possible items. For example, an AI doesn't understand the meaning of a simple phrase like "students go to school", but by training on millions of texts it has a knowledge base that can estimate that a student is a subject and a school is a place, and it shouldn't be because the AI Find out what the preposition is, but because he noticed that in the text on which it was formed, the words always followed "to". After enough training, the model becomes able to write a similar sentence, even if that sentence does not exist in the pre-trained data.
So if an AI model is trained on a dataset containing news articles, it will be able to generate new articles that closely resemble those written by humans. Text generation is an area of artificial intelligence technology that relies on what is known as natural language processing.
Image creation services work similarly based on computer vision technology, wherein the AI can create new images from pre-existing images that have been trained on. When the model is trained on images containing faces, it can produce images of new faces that are not similar to the faces on which it was trained, but look very realistic.
attention and criticism
Although artificial intelligence offers great capabilities, this has not stopped many concerns and criticisms of the technology, including its use to create fake content that is difficult to distinguish from real content. For example, an AI model can be trained on a set of images of celebrities and then used to create new fake images that are indistinguishable from real people in order to spread lies and influence public opinion. Many universities and schools around the world have also blocked access to ChatGPT because students use it to write reports and do their homework, which has prompted many companies to develop special tools to recognize written texts using artificial intelligence.
Users appreciate the accuracy of the results provided by generative AI. While it is capable of producing content that is derived from and similar to real data, there is no guarantee that the results will be accurate or meaningful. For example, a model trained on a set of articles may generate new articles that contain incorrect information or are not relevant to the requested topic.
Balance between opportunities and fears
It goes without saying that AI will change the world in many ways, from our work to our personal lives. Major technology companies have begun to adopt AI as part of their software and applications. The most recent is Microsoft, which has integrated ChatGPT into its search engine, and Google, which announced a similar move. In addition to hundreds of other applications from various fields, from note-taking applications to photo-editing applications.
AI is here to stay and the potential it offers should be recognized, but it is important to be aware that it can be used to produce false or inaccurate content. Companies that develop this technology must ensure that they are constantly improving it to avoid potential problems, take steps to ensure that the content you provide is accurate, and work to ensure that it is not used for immoral or illegal purposes. purposes.