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HomeGenerative AIWhat is Generative AI: Exploring Examples, Use Cases, and Models

What is Generative AI: Exploring Examples, Use Cases, and Models

Adobe’s Firefly generative AI models are now generally available, get pricing plans

The utilization of generative AI in face identification and verification systems at airports can aid in passenger identification and authentication. This is accomplished by generating a comprehensive image of a passenger’s face utilizing photographs captured from various angles, streamlining the process of identifying and confirming the identity of travelers. Generative AI can design user interfaces that are intuitive and user-friendly. This can help game developers to improve the player experience and increase player engagement. It can be used to analyze player data, such as gameplay patterns and preferences, to provide personalized game experiences.

generative ai examples

For example, Markov chain models can analyze past purchase histories to provide product recommendations customized to each customer’s preferences. Check out this super helpful generative AI tool that helps you create videos and customize them in a jiffy. Moreover, these tools can also help create text-based reports and perform complex business calculations. The adoption of generative AI is increasing across business domains, and why not? After all, if harnessed well, it can significantly reduce the overall time, effort, and cost needed to run the business. The fashion industry, for example, is leveraging AI to produce visually stunning one-of-a-kind designs.

What’s the difference between machine learning and artificial intelligence?

Generative AI can explore many possible designs of an object to find the right or most suitable match. It not only augments and accelerates design in many fields, it also has the potential to “invent” novel designs or objects that humans may have missed otherwise. Bing AI was built using GPT-4, which is the newest large language model developed by OpenAI.

generative ai examples

For busy educators, generative AI holds promise for simplifying tedious daily tasks such as building lesson plans, outlining assignments, generating rubrics, building tests and more. And many healthcare organizations are currently implementing generative AI in various ways. For example, generative AI can be used by physicians to develop custom care plans for patients that will improve health outcomes.

What are the applications of Generative AI?

With the help of generative AI, we are witnessing exciting communication possibilities, including new and improved ways to present information, highly useful real-time AI assistants, and streamlined content optimization processes. Tripnotes is a data-powered travel planner that simplifies, well… trip planning. Users can paste their travel inspiration from text messages, social media, or blogs, and the app automatically saves and researches each mentioned place leveraging generative AI. This app instantly summarizes PDFs and websites, saving students and researchers a significant amount of time. Additionally, Genei can provide concise and summarized responses to questions based on relevant resources.

Yakov Livshits
Founder of the DevEducation project
A prolific businessman and investor, and the founder of several large companies in Israel, the USA and the UAE, Yakov’s corporation comprises over 2,000 employees all over the world. He graduated from the University of Oxford in the UK and Technion in Israel, before moving on to study complex systems science at NECSI in the USA. Yakov has a Masters in Software Development.

generative ai examples

Available in three languages and accessible in over 180 countries and territories, Bard engages in natural conversations and fetches information from the web to assist users in making informed purchasing decisions. Sudowrite is an interactive AI writing assistant that offers valuable features like rewriting paragraphs in various styles, creative brainstorming, and character generation. Developed by writers, it provides an enjoyable user experience Yakov Livshits and produces remarkably human-like stories. Lokalise AI is an automated localization and translation platform designed for various applications, including web apps, customer service, documents, mobile apps, games, and marketing assets. With its advanced features like contextual translation, alternative variants, rephrasing, and concise adaptations, it enables seamless communication with global audiences in different languages.

Can I download the AI-generated images in other dimensions?

However, it is not restricted to text generation and there are generative AI tools for different use cases like code generation, data synthesis, video creation, and more. Generative AI models work by learning the patterns in a dataset and then using that knowledge to create new content similar to the original data. These models are ‘trained’ (by feeding them the datasets) to facilitate Yakov Livshits this learning. The video creation feature is particularly useful to advertising, entertainment, and education businesses. Marketers can also use tools based on AI models to create everything from short advertisements to full-length feature films. DCGAN is initialized with random weights, so a random code plugged into the network would generate a completely random image.

The iPhone 15 Opts for Intuitive AI, Not Generative AI – WIRED

The iPhone 15 Opts for Intuitive AI, Not Generative AI.

Posted: Wed, 13 Sep 2023 11:00:00 GMT [source]

The images generated by DALL-E are currently being used for everything from book covers to stock photography for websites. While ChatGPT’s functions can be beneficial, there are some drawbacks to consider. This means ChatGPT is prone to giving false answers that look and sound like the truth.

Meanwhile, the way the workforce interacts with applications will change as applications become conversational, proactive and interactive, requiring a redesigned user experience. In the near term, generative AI models will move beyond responding to natural language queries and begin suggesting things you didn’t ask for. For example, your request for a data-driven bar chart might be answered with alternative graphics the model suspects you could use. In theory at least, this will increase worker productivity, but it also challenges conventional thinking about the need for humans to take the lead on developing strategy.

generative ai examples

Generative artificial intelligence has the potential to make these workers at least 10 percent more efficient and/or creative. This means that they become not just quicker and more efficient but also more capable than they were before. Therefore, generative artificial intelligence has the potential to generate economic value in trillions of dollars. While synthetic data existed before the emergence of generative AI, the new class of generative algorithms means that datasets can quickly be scaled to any size that’s needed.



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