Generative AI is a type of artificial intelligence that generates new content, ranging from text, image, and video to even music. Rather than simply analyzing data, generative AI models learn patterns from vast datasets and generate original outputs based on instructions or prompts.

From human-sounding chatbots to AI art, generative AI is changing how businesses and people create content, automate, and improve user experience.

How generative AI works

Generative AI models are powered by advanced machine learning models like deep learning, diffusion models, generative adversarial networks, and neural networks. How they function is as follows:

• Training on huge datasets – Machine learning models sift through huge volumes of complex data to absorb patterns, styles, and structures.
• Neural networks & transformers – Powerful algorithms, like recurrent neural networks and GANs, that enable the AI to process data and create coherent outputs.
• Prompt-based generation – Users can provide text, images, or instructions to generate original content and synthetic data in real time.
• Fine-tuning & customization – Some models can be trained on a particular industry or use cases.
• Natural language processing – Enhances AI’s ability to understand, generate, and modify human-like-sounding text, making interactions sound more natural and contextually appropriate.

Thanks to these capabilities, generative artificial intelligence can create blog posts, design graphics, write code, generate realistic voices, and much more.

Examples of generative AI

One well-known example is ChatGPT, which uses large language models to generate human-like conversations, write articles, and answer questions. Another example is DALL·E, an AI that generates original images from text-based descriptions.

Companies such as Adobe employ generative AI programs to assist designers in making graphics, whereas businesses employ AI to create marketing materials. Web builders such as B12 incorporate AI to design complete website structures, recommend color palettes, and create personalized images based on user input. 

Even the entertainment industry controversially uses AI to generate scripts, music, and videos. AI is also being used in coding, product design, and architecture, streamlining creative processes across industries.  

How to use generative AI

Want to try using generative AI? Here's some advice on how to do it:

1. Try an AI writing tool – Write articles, emails, and fiction using tools such as ChatGPT or Jasper. 
2. Generate AI images – Image generation software such as DALL·E or Midjourney create new images from text descriptions.
3. Use AI to code – Coders can be helped by AI-based coding tools such as GitHub Copilot.
4. Generate music or voiceovers – Generative AI tools can create music or generate realistic voiceovers for videos and podcasts.
5. Build websites with AI - AI website builders like B12 can help you create, design, and manage your site effortlessly, using generative AI to streamline content creation, design elements, and updates. 

FAQs about generative AI

Why is generative AI important?

Generative models are transforming content creation, automating routine tasks, and opening up new creative opportunities. Businesses can leverage it to generate marketing materials, improve customer experiences, and simplify workflows. That being said, you have to use generative AI responsibly. For instance, when using AI-generated copy, take the time to edit and refine it so it aligns with your brand’s voice and avoids inaccuracies. 

How does generative AI compare to traditional AI?

Traditional AI algorithms process and classify information, whereas generative AI technologies create new content from patterns learned. It's the difference between identifying a cat in an image (traditional AI) versus generating a whole new cat image from scratch (generative AI).

What are the essential elements of a generative AI model?

A generative AI model typically includes:

• Neural networks – Basis of AI training and pattern identification.
• Transformer models – Sophisticated AI architecture such as GPT and BERT for processing language.
• Training data – Bulk datasets AI gets trained on in order to generate realistic results.
• Fine-tuning – Tweaking AI for particular tasks or industries.

Does generative AI replace human creativity?

No! A tool with generative AI is for augmenting human creativity, not replacing it. While AI may produce content at scale, human touch is required to refine, curate, and create high-quality outputs.

Can generative AI be used in business?

Yes. Companies use generative AI systems for content marketing, product design, and even tailored customer experiences. It’s a powerful tool that automates time-consuming tasks, accelerates creative processes, and helps businesses craft highly targeted, innovative solutions. 

Create a website with generative AI

With B12’s AI-powered website builder, you can harness the power of generative AI to create stunning, professional websites effortlessly. No coding skills needed—just describe your vision, and AI brings it to life. Get started today!