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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.
Generative AI enables users to quickly generate new content based on a variety of inputs. Inputs and outputs to these models can include text, images, sounds, animation, 3D models, or other types of data.
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.
- 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
- What Are The Risks of Using Generative AI?
- What Is The Difference Between Generative Ai and Machine Learning?
Generative AIis a type of artificial intelligence capable of generating new content — including text, images, or code — often in response to a prompt entered by a user. Its models are increasingly incorporated into online tools and chatbots, which allow users to type questions or instructions into an input field. In the output field, the AI model w...
Generative AI uses a computing process known as deep learning to analyze patterns in large sets of data and replicate those patterns to create new data that mimics human-generated data. It employs neural networks, a type of machine learning process loosely inspired by the way the human brain processes, interprets, and learns from information over t...
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, tech giants including Google, Microsoft, Amazon, and Metahave launched their own generative AI tools to capitalize on the technology’s rapid uptake: ...
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 is based on GPT-4, a large language model using transformer architecture — specifically, the generative pretrained transformer, hence GPT — to understand and generate human-like text. ChatGPT popularized the use of generative AI for personal and professional work. You can learn everything you need to...
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 in 2...
Efficiency can affect a company’s bottom line. Generative AI 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 additional insights into how well certain business processes perform. For professionals and c...
McKinsey estimates that activities currently accounting for around 30% of U.S. work hours could be automated by 2030, 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 consu...
Biases and misinformation
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 biases and misinformation can be wide-ranging and severe, from perpetuating stereotypes, hate speech, and harmful ideologies, to damaging personal and professional reputation. SEE: Gartner analyst’s take on 5 ways generative AI will impact culture & society The risk of legal and financial repercussions from...
Cybersecurity concerns
Security agencies have made moves to ensure AI systems are built with safety and security in mind. In November 2023, 16 agencies, including the U.K.’s National Cyber Security Centre and the U.S. Cybersecurity and Infrastructure Security Agency released the Guidelines for Secure AI System Development, which promote security as a fundamental aspect of AI development and deployment. Additionally, a survey released in October 2024 found that AI, including generative AI, expertise has become the m...
Ethical and privacy concerns
Generative AI has prompted workforce concerns, most notably that the automation of tasks could lead to job losses. Research from McKinsey suggests that around 12 million people may need to switch jobs by 2030, with office support, customer service, and food service roles most at risk. The consulting firm predicts clerks will see a reduction of 1.6 million jobs, “in addition to losses of 830,000 for retail salespersons, 710,000 for administrative assistants and 630,000 for cashiers.” SEE: Esta...
Generative AI is a subfield of artificial intelligence. Broadly, AI refers to the concept of computers capable of performing tasks that would otherwise require human intelligence, such as decision making and natural language processing. Generative AI models use machine learning techniques to process and generate data. Machine learning is the founda...
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.
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What is generative AI & how does it work?
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Sep 6, 2024 · 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.
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related to: What is generative AI & how does it work?Advance Your Career by Learning Generative AI Basics. Get Started with 5 Short Videos. Learn How to Use Generative AI on the Databricks Data Intelligence Platform. Free Course.
online.cornell.edu has been visited by 10K+ users in the past month
AI is here to stay. Learn to harness it with Cornell's AI-focused online certificates. Why wait? Enroll in one of Cornell University's 5+ online AI certificate programs.
Generative AI helps your enterprise automatically turn ideas into robust workflows. Discover how generative AI can boost low-code productivity and empower developers
