Generative AI: What is it? Everything you should be aware of

What is generative AI?

Generative AI is a type of artificial intelligence technology that can produce various types of content, including text, imagery, audio, and synthetic data. Generative AI algorithms can be used to create new, original content that's indistinguishable from content created by humans. These systems have been trained on massive amounts of data, and work by predicting the next word or pixel to produce a creation Generative AI outputs are carefully calibrated combinations of the data used to train the algorithms. Because the amount of data used to train these algorithms is so incredibly massive, the models can appear to be “creative” when producing outputs Generative AI starts with a prompt that could be in the form of a text, an image, a video, a design, musical notes, or any input that the AI system can process. Various AI algorithms then return new content in response to the prompt. Content can include essays, solutions to problems, or realistic fakes created from pictures or audio of a person Generative AI algorithms can be used to create new, original content, such as images, videos, and text, that's indistinguishable from content created by humans.

Applications of Generative AI

Generative AI has a wide range of applications, including creating realistic representations of people, summarizing complex information into a coherent narrative, simplifying the process of creating content in a particular style, improving the response to specific technical queries, and reducing the effort of responding to emails. Generative AI can create new images based on existing ones, such as a new portrait based on a person’s face or a new one. Generative AI tools can produce a wide variety of credible writing in seconds, and then respond to criticism to make the writing fit for purpose.

Limitations of Generative AI

Generative AI is still in its early stages and has some limitations. One of the main limitations is that it requires a large amount of data to train the algorithms. Additionally, the outputs of generative AI can be unpredictable and sometimes produce biased or offensive content.

In conclusion, generative AI is a rapidly growing subcategory of artificial intelligence that can produce various types of content, including text, imagery, audio, and synthetic data. Generative AI algorithms can be used to create new, original content that's indistinguishable from content created by humans. While generative AI has a wide range of applications, it is still in its early stages and has some limitations.

How does generative AI differ from other types of AI

Generative AI is a type of artificial intelligence technology that can produce various types of content, including text, imagery, audio, and synthetic data. It differs from other types of AI in the following ways:

Traditional AI

• Detects patterns

• Makes decisions

• Hones analytics

• Classifies data

• Detects fraud

Enterprise AI

• Refers to machine learning and artificial intelligence application for everyday business activities

• Assists in automating tasks rather than manual tasks

• Saves effort, time, and resources

Discriminative AI

• Focuses on finding a decision boundary that separates input data into different classes

• Attempts to learn the boundary between different types of images, such as cats and dogs

Generative AI, on the other hand, uses machine learning algorithms to create outputs based on a training dataset. It can produce output in the same medium in which it is prompted or in a different medium from the given prompt. Generative AI can create new, original content, such as images, videos, and text, that's indistinguishable from content created by humans. Generative AI models are capable of generating new content based on the patterns they have learned from existing data. These models are also capable of understanding the context of the input data, making them more human-like.