50 Useful Generative AI Examples in 2023

What is ChatGPT, DALL-E, and generative AI?

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Progress in physical use cases appears slower, which makes sense given the inherent limits imposed by manipulating matter instead of data. Geneticists are learning to understand gene expression — how specific genes and combinations of genes get turned on and off — and what genes do when they’re active. AI is also helping researchers predict how a gene expression will change in response to specific changes in the genes.

How do people make AI generated videos?

Costin stressed that since the company mostly trained the models with images from its Adobe Stock collection, they are commercially safe for businesses to use. As the company recently announced, it will even indemnify its enterprise users against potential lawsuits when they use Firefly-generated images. Generative artificial intelligence (AI) refers to the set of algorithms that can be used to craft uniquely new output in various forms like text, audio, code, images, and videos. It’s the next generation of AI models that can produce incredibly accurate, high-quality, and responsive results to initial requests.

What used to be a physical process (cameras, actors, studios…) has now transitioned into a fully digital realm, making video creation convenient and accessible to all. Bloomreach is a cloud-based software for the travel industry that personalizes customer touch-points, drives business growth, and supports different Yakov Livshits providers. It helps identify frequent travelers, create personalized experiences, and gain valuable customer insights. Machine learning is the foundational component of AI and refers to the application of computer algorithms to data for the purposes of teaching a computer to perform a specific task.

generative ai examples

For example, Midjourney users generated and circulated in social media images of Pope Francis in a big, puffy white coat, Elon Musk hobnobbing with Alexandria Ocasio-Cortez and Donald Trump being dragged away by police. The training data for these systems includes enormous amounts of poorly written, poorly constructed and factually inaccurate prose. Also, in response to a request for information on a subject, such programs seem willing and able to make up answers, complete with fabricated supporting articles (hallucitations) from real or made-up authorities. This leads to well-justified hesitation to use AI in life-or-death or other high-stakes situations, including complex application coding. The explosive growth of generative AI shows no sign of abating, and as more businesses embrace digitization and automation, generative AI looks set to play a central role in the future of industry. The capabilities of generative AI have already proven valuable in areas such as content creation, software development and medicine, and as the technology continues to evolve, its applications and use cases expand.

> Healthcare Applications

Generative AI provides banks with a powerful tool to detect suspicious or fraudulent transactions, enhancing the ability to combat financial crime. Training GANs for the purpose of fraud detection, by utilizing it with a training set of fraudulent transactions, helps identify underrepresented transactions. Generative AI can improve the quality of outdated or low-quality learning materials, such as historical documents, photographs, and films.

New Rice Continuing Studies course to explore generative AI … – Rice News

New Rice Continuing Studies course to explore generative AI ….

Posted: Mon, 11 Sep 2023 00:43:20 GMT [source]

Embracing these advanced technologies will be key for businesses and individuals looking to stay ahead of the curve in our rapidly evolving digital landscape. Artificial Intelligence (AI) has been a buzzword across sectors for the last decade, leading to significant advancements in technology and operational efficiencies. However, as we delve deeper into the AI landscape, we must acknowledge and understand its distinct forms. Among the emerging trends, generative AI, a subset of AI, has shown immense potential in reshaping industries.

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.

When a customer sends a message with a question, ChatGPT can analyze the message and provide a response that answers the customer’s question or directs them to additional resources. When a customer sends a message, ChatGPT or other Yakov Livshits similar tools can use this profile to provide relevant responses tailored to the customer’s specific needs and preferences. Generative AI models can be employed to streamline the often complex process of claims management.

generative ai examples

It seamlessly integrates with multiple tools commonly used in retail, such as Hubspot, Marketo and Salesforce. Snapchat has recently introduced My AI, an AI chatbot that can answer users’ questions and engage in conversations. Whether it’s answering trivia questions, offering gift advice, providing trip planning assistance, or suggesting dinner options, My AI offers a personalized experience driven by AI. From the Mad Men era to the age of the internet, social media, and hyperconnectedness, marketing has undergone a remarkable transformation. P.A.D.D.Y. is an AI-powered tour guide created by a group of tour guides in Ireland. This multifaceted AI brings character to the experience of Ireland, tailoring it to individual interests and preferences.

Generative AI vs. machine learning

Deloitte has experimented extensively with Codex over the past several months, and has found it to increase productivity for experienced developers and to create some programming capabilities for those with no experience. This model can significantly improve the speed and efficiency of programming large language models. Not only does this increase sales, but it also enhances customer satisfaction. Generative language models can also help businesses with customized advertising copy and product descriptions.

generative ai examples

As generative AI becomes increasingly, and seamlessly, incorporated into business, society, and our personal lives, we can also expect a new regulatory climate to take shape. As organizations begin experimenting—and creating value—with these tools, leaders will do well to keep a finger on the pulse of regulation and Yakov Livshits risk. We’ve seen that developing a generative AI model is so resource intensive that it is out of the question for all but the biggest and best-resourced companies. Companies looking to put generative AI to work have the option to either use generative AI out of the box, or fine-tune them to perform a specific task.

Multimodal models

Generative AI, on the other hand, can be thought of as the next generation of artificial intelligence. You give this AI a starting line, say, ‘Once upon a time, in a galaxy far away…’. The AI takes that line and generates a whole space adventure story, complete with characters, plot twists, and a thrilling conclusion.

  • It takes less time in your week to schedule these SEO-powered AI posts, but as with all generative AI, I’d say don’t set it and forget it.
  • It can automatically fill in the information where necessary, speeding up the process of creating these documents.
  • Most AI systems today are classifiers, meaning they can be trained to distinguish between images of dogs and cats.
  • Generative AI can be used in sentiment analysis by generating synthetic text data that is labeled with various sentiments (e.g., positive, negative, neutral).
  • An image generator, for example, can help a graphic designer create whatever image they need (See the figure below).

Generative AI tools are well on their way to becoming quicker and more cost-effective than what people can generate by hand and, in some circumstances, superior to what they produce. Every sector that relies on humans to produce original work, such as social media and gaming, advertising and architecture, coding and graphic design, product design and law, and marketing and sales, is ripe for innovation. However, generative AI could enable better, faster, and cheaper production across various end markets. This is because AI may be totally supplanted by certain functions, while others are more likely to prosper from a tight iterative creative cycle between humans and machines. Snowflake has made it clear that it expects synthetic data generated by AI to play an important role in its business going forward. To start with, a human must enter a prompt into a generative model in order to have it create content.

generative ai examples

Former Appen employees say the company has in recent years been dealing with quality control problems, hurting its ability to provide valuable training data for AI models. For example, one former department manager said people would annotate rows of data using automated tools instead of the manual data labeling required for accuracy, which is what clients thought they were buying. There are many online tools powered by artificial intelligence (AI) to create videos, including Kapwing and Synthesia. AI video tools usually give simple instructions to type out a topic or idea in the input text box, and the AI will generate a video for you instantly. We recommend using Kapwing to create videos with AI since they have a free AI video generator that allows you to edit the video afterwards, all in one place.