Top 10 Generative AI trends in 2023

Let's look at Top 10 generative AI trends that can change the future in 2023, along with sample services available in the current market:

1. Hyper-personalization 

 

Generative AI can be used to create personalized experiences for users across a wide range of industries, from retail to healthcare. For example, Amazon uses generative AI to recommend products to customers based on their past purchases and browsing history. Personalizing tasks service becomes papular, too. It personalize tasks for users based on their preferences and needs. [AI Dungeon] is one example.

2. Conversational AI 

 

Generative AI is being used to create more natural and engaging conversational experiences with customers.
For example, ChatGPT, MS Being Chat, and Google Bard use generative AI to understand and respond to natural language queries. Many developers create chatbots that can mimic human-like responses in conversations. Check [Replika].

 

3. AI for scientific research

 

Generative AI is being used to accelerate scientific research in a variety of fields, from drug discovery to materials science. For example, DeepMind uses generative AI to create new molecules that could be used to develop new drugs.[DeepMind AlphaFold] provides a model that can generate new proteins for drug discovery purposes. Some models are used to generate new materials for various applications such as energy storage and catalysis. Check [Citrine Informatics].

 

4. Image generators

 

Image generators are one of the most popular field in Generative AI now. Generative AI is being used to create realistic and high-quality images from scratch. It also help non-experts to create visual arts and even comic book images. Midjourney and Stable Diffusion are trend leaders. Nvidia's StyleGAN can create realistic images of people and objects that do not exist in the real world.  

 

5. Code & app builders 

 

Generative AI is also being used to create code and apps automatically. For example, OpenAI's Codex can generate code in a variety of programming languages.

 

6. Video production

 

Video production field becomes very hot recently. Generative AI allows non-expert to create high-quality videos by simply typing in text. For example, Google's Deep Dream can generate psychedelic videos from still images. Check [Synthesia’s generative AI video tool] 

7. Generative design

 

Generative AI is being used to create new designs for products and systems. For example, Autodesk's Dreamcatcher can generate new architectural designs.

8. Speech synthesis 

 

Generative AI is being used to create synthetic speech that sounds like a human voice. It is also called text-to- speech (TTS) technology. TTS technology has been around for decades, but recent advances in machine learning have made it possible to create more natural-sounding voices. TTS technology works by converting written text into spoken words using computer algorithms. There are many applications of TTS technology, including audiobooks, virtual assistants, and accessibility tools for people with visual impairments. Some popular TTS engines include Amazon Polly and Microsoft Azure.

9. Intelligent process automation

 

Generative AI is being used to automate tasks that are currently done by humans. For example, Google's AutoML can automate the process of building machine learning models.

10. Generative music 

 

Generative AI is being used to create new music compositions. AI allows users to create custom music tracks for their projects, to generate music based on user preferences, to create original compositions in a variety of genres or custom background music for videos, live streams, and other content by using machine learning algorithms. For example, Google's Magenta can generate new music pieces in a variety of genres. Amper Music, AIVA, Jukedeck, and Mubert are other services you can check. 

 

These are just a few of the many ways that generative AI is being used to change the world. People now even enjoy combining each type to make their own creative products. As the technology continues to develop, we can expect to see even more innovative and groundbreaking applications in the years to come.