5 Generative AI Use Cases That Will Have a Profound Impact on People’s Lives

Since the launch of ChatGPT, the world has been fascinated by the huge potential of AI. ChatGPT opens the era of generative AI, which uses models trained on large amounts of data to generate new content based on simple text or voice prompts.

Before the advent of large language models (LLM), traditional AI applications and solutions learned based on limited-scale data sets and used the learning results for data analysis and prediction. Traditional AI has been widely used in many industries, such as autonomous system control, chat robots, customer service agents, fraud detection, game entertainment, natural language processing, recommendation systems, risk analysis, system management and security monitoring, etc. Traditional AI applications will continue to grow, but generative AI will open up a whole new world.

With the ability to learn massive amounts of data, large language models can identify, summarize, predict and generate new text, audio, images and even videos, leading AI to open up new functional areas that were previously unachievable by humans.

The initial area of ​​push for generative AI is content creation, the ability to modify existing content and/or create unique new content. For text creation, it can range from a simple email to a more complex form such as an article, blog, poem, or story.

For audio formats , the response form of generative AI can be a voice reply, the generation of a series of sounds, or even a complete song. For image formats , this can be realistic or fantasy pictures, graphic designs, and creating or removing elements from pictures. These capabilities can also be extended to video formats , which are a series of images plus audio. Video content can be in the form of games, movies, synthesized game characters, or even complete metaverse environments.

Generative AI will also make creating educational assets less cumbersome. For example, medical professionals can use generative AI for patient rehabilitation training, and educators can use generative AI to develop optimized learning plans.

There is huge potential for generative AI applications in the design field. Generative AI can combine material information, style, environmental information, and engineering knowledge to design clothing, cars, consumer products, buildings, etc. This gives any business the potential to achieve unique or custom designs for products of any size or shape, shortening time to market, increasing flexibility and reliability, while providing new tools for DIY projects.

2. Personalization

Generative AI will have a profound impact on society, with personalized digital assistants supporting situational awareness and communicating in a more human-like manner.

In a recent interview, Ma Dejia, senior vice president and general manager of technology, planning and edge solutions business of Qualcomm Technologies, gave such an example. Imagine that the user’s digital assistant can access any terminal such as the user’s car or smartphone, and customize the user’s personal preferences according to the user’s personal preferences. Recommend restaurants based on dietary taboos and location information, make reservations based on the user's possible arrival time, and even help users order food directly.

Generative AI can be used to create diet, exercise and entertainment schedules, and even pay the user’s daily bills.

3. Code generation