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What is generative AI & how does it work?
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Sep 15, 2023 · Generative AI is a form of AI that can create new content by extrapolating from its training data. Learn how it works, what it can do, and what challenges it poses for businesses and society.
- Greg Pavlik
- Generative AI technology is built on neural network software architectures that mimic the way the human brain is believed to work. These neural net...
- The best-known example of generative AI today is ChatGPT, which is capable of human-like conversations and writing on a vast array of topics. Other...
- It’s important to note that generative AI is not a fundamentally different technology from traditional AI; they exist at different points on a spec...
- A major debate is going on in society about the possible risks of generative AI. Extremists on opposite sides of the debate have said that the tech...
- Generative AI can be put to excellent use in partnership with human collaborators to assist, for example, with brainstorming new ideas and educatin...
- Generative AI can’t have genuinely new ideas that haven’t been previously expressed in its training data or at least extrapolated from that data. I...
- Because of its breadth, generative AI is likely to be useful in virtually every industry.
- Generative AI is likely to have a major impact on knowledge work, activities in which humans work together and/or make business decisions. At the v...
- Generative AI (GAI) is the name given to a subset of AI machine learning technologies that have recently developed the ability to rapidly create co...
- There are two answers to the question of how generative AI models work. Empirically, we know how they work in detail because humans designed their...
Generative AI, sometimes called gen AI, is artificial intelligence (AI) that can create original content—such as text, images, video, audio or software code—in response to a user’s prompt or request.
- What Is Generative Ai in Simple terms?
- How Does Generative Ai Work?
- Examples of Generative Ai
- Types of Generative Ai Models
- What Is Chatgpt?
- What Is Google Gemini?
- Benefits of Generative Ai
- Use Cases of Generative Ai
- Dangers and Limitations of Generative Ai
- What Is The Difference Between Generative Ai and General AI?
Generative AI is a type of artificial intelligence technology that broadly describes machine learning systems capable of generating text, images, code or other types of content, often in response to a prompt entered by a user. Generative AI models are increasingly being incorporated into online tools and chatbots that allow users to type questions ...
Generative AI uses a computing process known as deep learning to analyze patterns in large sets of data and then replicates this to create new data that appears human-generated. It does this by employing neural networks, a type of machine learning process that is loosely inspired by the way the human brain processes, interprets and learns from info...
The popularity of generative AIhas exploded in recent years, largely thanks to the arrival of OpenAI’s ChatGPT and DALL-E models, which put accessible AI tools into the hands of consumers. Since then, big tech companies including Google, Microsoft, Amazon and Meta have launched their own generative AI tools to capitalize on the technology’s rapid u...
Various types of generative AI models exist, each designed for specific tasks and purposes. These can broadly be categorized into the following types.
ChatGPT is an AI chatbot developed by OpenAI. It’s a large language model that uses transformer architecture — specifically, the generative pretrained transformer, hence GPT — to understand and generate human-like text. You can learn everything you need to know about ChatGPTin this TechRepublic cheat sheet.
Google Gemini (previously Bard) is another example of an LLM based on transformer architecture. Similar to ChatGPT, Gemini is a generative AI chatbot that generates responses to user prompts. Google launched Bard in the U.S. in March 2023 in response to OpenAI’s ChatGPT and Microsoft’s CopilotAI tool. It was launched in Europe and Brazil later that...
For businesses, efficiency is arguably the most compelling benefit of generative AI because it can help automate specific tasks and focus employees’ time, energy and resources on more important strategic objectives. This can result in lower labor costs, greater operational efficiency and insights into how well certain business processes are — or ar...
McKinsey estimates that, by 2030, activities that currently account for around 30% of U.S. work hours could be automated, prompted by the acceleration of generative AI. SEE: Indeed’s 10 Highest-Paid Tech Skills: Generative AI Tops the List Generative AI has found a foothold in a number of industry sectors and is now popular in both commercial and c...
A major concern around the use of generative AI tools — and particularly those accessible to the public — is their potential for spreading misinformation and harmful content. The impact of doing so can be wide-ranging and severe, from perpetuating stereotypes, hate speech and harmful ideologies to damaging personal and professional reputation. SEE:...
Generative AI and general AI represent different sides of the same coin; both relate to the field of artificial intelligence, but the former is a subtype of the latter. Generative AI uses various machine learning techniques, such as GANs, VAEs or LLMs, to generate new content from patterns learned from training data. General AI, also known as artif...
Sep 6, 2024 · Understand the magic behind generative AI! This blog explains the basics of generative AI, from its origins in traditional language models to modern techniques like self-supervised learning and fine-tuning, highlighting its impact, applications, and future potential.
Jul 24, 2024 · Generative AI is a type of AI that generates images, text, videos, and other media in response to inputted prompts. Learn how it works, what are its uses cases, and what are its concerns in this article from Coursera.
Generative AI enables users to create new content based on existing data using neural networks. Learn about the types of generative models, such as diffusion, VAE, and GAN, and how they are used for various tasks and domains.
Nov 9, 2023 · Generative AI can be thought of as a machine-learning model that is trained to create new data, rather than making a prediction about a specific dataset. A generative AI system is one that learns to generate more objects that look like the data it was trained on.
