AI Image Generation Prompt Examples and Tutorial

As mentioned above, generative AI can generate new data in text, images, video, code and audio. While generative AI can be a time-saving tool to optimize a creator’s workflow, it can yield lower-quality results. Many of the available AI services are free or cost a fraction of what an expert sound engineer, video editor, or writer with years of experience and skill would charge for their services. But the output from the generative AI tool could result in generic and low-quality stuff, especially when more people use it, and it all starts looking and sounding similar. “As an individual creator, AI can save me time in several helpful ways,” Gewirtz explains.

• Speech-to-speech conversion is an impactful feature of most generative AI models.
• “However, our results are far from satisfactory. They reflect the ongoing global macroeconomic pressures and continued slowdown in tech spending, particularly amongst our largest customers.”
• In 2023, the rise of large language models like ChatGPT is indicative of the explosion in popularity of generative AI as well as its range of applications.
• Gewirtz tells me using MidJourney along with Adobe Photoshop’s new AI-powered tools to create images for his wife’s e-commerce company has “proven hugely helpful in providing those images for social media posts and newsletters.”
• It is essential for decision makers and loan applicants to understand the explanations of AI-based decisions, including why the loan applications were denied.

Here is an example of a generative AI tool you can use to upscale images by 200 or 400%. The image above showcases an example of using chatGPT to calculate the return on ad spending through a prompt. This article will shed light on generative AI, its use cases, and practical examples to improve ROI for your projects.

DALL-E

Typeface lets users upload their product images and create personalized photos and marketing assets with the help of generative AI powered by OpenAI’s GPT-4 and DALL-E, Microsoft Azure AI, Stable Diffusion, and Google Vertex AI. Other companies have opted to become a one-stop-shop solution for content Yakov Livshits creators. Microsoft recently launched the Designer app, which uses AI to generate graphics you can edit. To use it, you need to enter a prompt, a description of the design you want, like an Instagram post about a hair product launch, including a photo you uploaded, like a ChatGPT-powered Canva.

Farmer.CHAT is an AI-based farmer advisory service that connects governments and farmers for real-time communication. It provides data-driven insights and decision-making tools to optimize crop management, reduce waste, and increase yields. With a combination of documents, videos, and vetted data sources, Farmer.CHAT delivers actionable recommendations to farmers in India, Ethiopia, and Kenya. Midjourney is an AI image generator that can create realistic images based on detailed text inputs.

Fill in your generated videos with B-roll in one click

Generative AI is the technology to create new content by utilizing existing text, audio files, or images. With generative AI, computers detect the underlying pattern related to the input and produce similar content. This is in contrast to most other AI techniques where the AI model attempts to solve a problem which has a single answer (e.g. a classification or prediction problem). They are trained on past human content and have a tendency to replicate any racist, sexist, or biased language to which they were exposed in training. Although the companies that created these systems are working on filtering out hate speech, they have not yet been fully successful. In a six-week pilot at Deloitte with 55 developers for 6 weeks, a majority of users rated the resulting code’s accuracy at 65% or better, with a majority of the code coming from Codex.

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.

Mattel is using the technology to generate images for toy design and marketing. Generative AI refers to a form of artificial intelligence that prioritizes the creation of original data rather than solely processing and organizing pre-existing data. By utilizing large language models, it has the ability to generate diverse outputs, including unique written content, images, videos, and music. With artificial intelligence (AI) and the demand for content creation rapidly growing, countless SaaS teams are racing to provide the best AI tool that turns text into video. Millions of content creators, social media marketers, and marketing agencies use Kapwing to create and edit their videos in one place, making it the best AI video generator that turns text to video for you in seconds.

It can allow students to interact with a virtual tutor and receive real-time feedback in the comfort of their home. This makes it an ideal solution for those children who may not have access to traditional face-to-face education. Generative AI algorithms can offer potential in the healthcare industry by crafting individualized treatment plans tailored specifically for a patient’s medical history, symptoms and more.

Overall, the Deloitte experiment found a 20% improvement in code development speed for relevant projects. The firm’s conclusion was that it would still need professional developers for the foreseeable future, but the increased productivity might necessitate fewer of them. As with other types of generative AI tools, they found the better the prompt, the better the output code. Artificial Intelligence algorithms are not new, but generative AI has been empowering a new way of using this technology for business automation.

In this article, we will explore 50 practical applications of generative AI across different industries. Both relate to the field of artificial intelligence, but the former is a subtype of the latter. As generative AI models are also being packaged for custom business solutions, or developed in an open-source fashion, industries will continue to innovate and discover ways to take advantage of their possibilities.

This will require governance, new regulation and the participation of a wide swath of society. Your workforce is likely already using generative AI, either on an experimental basis or to support their job-related tasks. To avoid “shadow” usage and a false sense of compliance, Gartner recommends crafting a usage policy rather than enacting an outright ban. In conclusion, it is evident that the generative AI landscape is flourishing with a wide range of tools catering to diverse industries.