{"id":74711,"date":"2023-07-10T08:48:31","date_gmt":"2023-07-10T08:48:31","guid":{"rendered":"http:\/\/kryptodata.se\/what-is-generative-ai-and-why-it-is-so-popular\/"},"modified":"2023-07-10T08:48:31","modified_gmt":"2023-07-10T08:48:31","slug":"what-is-generative-ai-and-why-it-is-so-popular","status":"publish","type":"post","link":"http:\/\/kryptodata.se\/what-is-generative-ai-and-why-it-is-so-popular\/","title":{"rendered":"What Is Generative AI and Why It Is So Popular?"},"content":{"rendered":"

Coinspeaker<\/a>
\nWhat Is Generative AI and Why It Is So Popular?<\/a><\/p>\n

Artificial intelligence<\/a> (AI) has played a fundamental role in improving processes in various industries thanks to its technological advances. Its capabilities to automate tasks, improve efficiency, make data-based decisions, personalize experiences, and foster innovation make it a crucial tool. These advancements result in operational improvements, informed decision-making, satisfying user experiences, as well as stimulating economic growth through the creation of new products and services.<\/p>\n

Generative artificial intelligence boosts productivity by saving time and improving efficiency through task automation, enabling professionals to focus on more important and creative activities. Additionally, this technology has the potential to generate solid and satisfactory results in various professional fields.<\/p>\n

Below, we will delve into what generative AI entails exactly and why it has become one of the most widely used technological tools worldwide.<\/p>\n

Generative AI Defined<\/h2>\n

Generative AI is a type of artificial intelligence that uses machine learning algorithms to generate diverse content, such as text, images, or audio, based on a training dataset.<\/p>\n

According to ChatGPT<\/a>, an AI application based on the GPT-3 language model, generative AI distinguishes itself from traditional AI by employing machine learning techniques, like generative neural networks, to autonomously create content.<\/p>\n

This is how ChatGPT defines generative AI:<\/p>\n

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“Generative AI is based on the neural network’s ability to learn from an input dataset and then generate new samples that follow similar patterns. For instance, a generative neural network can learn from a set of flower images and subsequently generate new, authentic-looking flower images, even though they are not actually real.”<\/p>\n<\/blockquote>\n

The goal of generative AI is to create content that\u00a0might be furtherused for other purposes, such as analyzing data or helping to control a self-driving car.<\/p>\n

How Generative AI Works<\/h2>\n

Generative AI models use neural networks to identify patterns in large datasets and generate new content. These neural networks consist of interconnected nodes inspired by the neurons in the human brain.<\/p>\n

Neural networks are the foundation of machine learning, as they are used to processing vast amounts of data, such as text, code, or images, through complex algorithmic structures. During training, the weights of the neural connections are adjusted to minimize the differences between predicted and desired outputs, allowing the network to learn from its mistakes and make more accurate predictions.<\/p>\n

Generative AI Models<\/h2>\n

To enable artificial intelligence to generate original content, various training models are employed, including Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Diffusion models. These models play a vital role in the learning process of patterns and characteristics through a dataset of inputs.<\/p>\n