In recent years, generative artificial intelligence (AI) has become increasingly prevalent and is predominantly being used by many in a variety of fields. By generative AI, we understand those AI platforms that can be used to create new data or content including but not restricted to images, text and music. The AI tools and platforms introduced recently all have the potential to extract or create information faster, more accurately and more efficiently.
Here are different applications where generative AI is gaining popularity.
1. Text creation and editing
Generative AI can be used to create text content for a variety of applications, such as essay writing, writing news articles, creating product descriptions and even composing poetry. Platforms like ChatGPT and copy.ai are getting popular by the day to generate text-based content for multiple purposes. This technology can help save time and effort for writers and content creators while also enabling them to produce high-quality content at scale.
2. Image creation and processing
For works like adding or removing any unwanted object, people or text from your pictures in seconds, generative AI tools are gaining much popularity. Other purposes like image editing and enhancement including colour correction, noise reduction, and image restoration are also possible with such platforms. Cleanup.ai and remove.bg are some examples of such AI tools. Other AI tools can also create new images and 3D models, and generate unique textures generated either by the AI or based on any existing data or given prompts.
3. Video creation and processing
Like the image, video editing is also easily possible by these generative AI tools. These tools automatically generate transitions, subtitles and even entire scenes. Synthesia is an example of an AI tool that can create new videos with prompts given by the user or based on some existing data. Other popular tools can also be used to stabilise shaky videos, creating smoother and more professional-looking footage or editing content in any video.
4. Fashion designing
The AI tools of today are good at creating not just text and images but also analysing existing fashion trends. There are generative AI tools that create new styles and patterns to help fashion designers and aspiring students. The technology is being speculated to be able to predict future trends and generate personalised fashion recommendations for users. If you want to start you can check platforms like resleeve and start designing.
5. Language processing
Other than creation purposes, generative AI tools are being used in various forms, such as chatbots, virtual assistants, and voice assistants. These AI tools use machine learning algorithms to analyse and understand human language with a focus on grammar, language syntax and also semantics. Some AI platforms have become advanced to the point that they understand and respond to human language in real time. ChatGPT is one such example.
6. Gaming
Generative AI has revolutionised the gaming industry way before and far beyond the common understanding providing realistic and immersive gaming experiences. The technology has been used heavily to create unique characters and objects allowing game developers to create more interactive environments, create non-player characters (NPCs) in games like Grand Theft Auto and enhance players’ overall gaming experience. You can try platforms like inworld.ai to create your own.
7. Marketing or advertising
Generative AI has been revolutionary in the marketing and advertising sector. From generating SEO content, marketing copy, and ad copy to chatbot responses, and customer service interactions, these platforms have been improving the overall customer experience worldwide. Other tools and platforms like marketingblocks have been used to create personalised marketing campaigns too more efficiently and effectively resulting in better customer engagement and increased sales.
8. Music composition
Generative AI for music composition and copyright-free music has been a boon for content creators. Using these AI tools and platforms like musico and staccato anyone can now create unique compositions based on existing music styles and genres, allowing musicians or any creators to have personalised and innovative pieces of music. The technology has helped create background music for films, video games, and other social media content without much time and effort.
9. Robotics and its application
10. Autonomous driving
Apart from them, the reason why generative AI tools got in the limelight was their role in the development of autonomous driving technology for crash simulation, driving security and training self-driving cars. This technology made testing easier and more economical as well as became pivotal to refining the technology. These tools are being used by all leading automobile companies to develop safer and more efficient transportation systems.
But what started the concept of generative AI was possibly robotics. With the help of AI tools, the development of robotics became easier and developers were able to generate new designs or test and optimise the movement and performance of robots. The generative AI tools also helped in creating virtual environments for coding, testing and training the new robotic technology, which was later tested and used in various other fields like healthcare, education, fashion, infrastructure, and entertainment.
11. Healthcare services
Another field where generative AI has been used for a long time is healthcare services. Generative AI tools have been able to assist healthcare professionals in the diagnosis and treatment of many diseases by analysing medical images and generating synthetic images for study, medical and other surgical purposes. The technology can also create personalised treatment plans based on patient data, leading to more accurate diagnoses and treatments while drug tests and the discovery of new drugs have been possible.
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