What is Generative AI? An interesting but 'scary' form of artificial intelligence
In the era of modern technology, where artificial intelligence (AI) is talked about, its increasing development is also worrying some people, but despite all the concerns.
People around the world are not investing billions of dollars in artificial intelligence. This is why Sam Altman, CEO and co-founder of OpenAI, has said that he is not concerned about the cost of developing generative AI.
Sam Altman was giving a special lecture for emerging entrepreneurs at Stanford University. He founded ‘Open AI’ as a non-profit organization in 2015. However, OpenAI now says that the cost of technological development cannot be covered by non-profit sources. As one of the founders of this technology, what he has to say is quite significant. It shows how talented and powerful his future types will be.
How Generative AI Works
Generative AI relies on highly sophisticated deep learning models of machine learning. Deep learning mimics the human brain in learning and decision-making. This model identifies desired patterns from vast amounts of data, understands them, and then uses its understanding to create new and useful content based on specific user instructions.
Training and Tuning
1. Training: In which a base model is built
2. Tuning: A basic model that is adjusted to serve a particular purpose Creation, In this phase, AI-generated content is continuously evaluated and improved for quality and accuracy. Just as the human learning process never stops, artificial intelligence also has no limit to learning.
Generative AI is capable of creating many types of original content. It can provide a summary of a large document and tell it in points, giving the writer more time to do more creative work.
Image generation engines like Dill-E, Midjourney, and Stable Diffusion can generate any image and video you want. Generative models can combine natural sounds and audio content to speak, read a book, or produce completely original music for musicians.
A computer can create code, and software developers can quickly remove errors and produce any software in working condition by instructing the AI model in human language what code to write and what it will be used for.
Generative AI can create artistic designs for designers, environments, characters for video games, and unique structures based on real data like developing a new drug with specific chemical structures.
However, as Sam Altman said, it should not be considered as good as any other technology. He emphasized that like any other technology, it has its limitations and challenges.
