If you’re still not sure how to use artificial intelligence to optimize your work and your business results , you’re sure to find inspiration in some of these generative AI examples.
You will see how this type of AI works, as well as learn about its applications and all the potential it has, not only for large corporations, but also for small and medium-sized businesses. Whether it is to drive more traffic to your site, direct visitors to purchase faster or give your e-commerce a boost.
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Table of Contents
- What is generative AI?
- How generative artificial intelligence works
- Types of generative AI
- GAN networks: generation of hyperrealistic images and videos
- Transformers: Text Generation and Speech Recognition
- Variational Autoencoders (VAEs): Creating Images and Text
- Diffusion models: creating images with high precision
- Flow-based models: creating images, audio and video
- Recurrent Neural chinese overseas america database Networks (RNN): Natural Language and Speech Processing
- Seven examples of generative AI for your business
- AI to boost your email marketing
- AI to save you time with SEO
- AI to design your web pages with style
- AI to improve customer service
- AI to optimize your online store instantly
- AI to create an unforgettable brand identity
- AI to create ads and video demos
What is generative AI?
Generative AI is a type of artificial intelligence based on Machine Learning that learns from large amounts of data to generate new content , such as text, images, videos and even code adapted to specific tasks.
These are the main advantages of generative AI models:
- More efficient content creation
- 24/7 Customer Service
- More precise segmentation
- Optimizing Workflows
- Improved user experience
- Optimized software development
- Instant website design
In short, generative artificial intelligence vision: the future we want to build allows you to optimize resources and reduce operating costs in customer service (30-45%) and marketing (5-15%).
How generative artificial intelligence works
While traditional AI classifies, predicts and identifies patterns, generative AI goes further and creates original content.
How does he do it?
1. Learning from a dataset
Generative AI is based on a mathematical model that imitates the human brain through deep learning, an advanced machine learning technique that uses deep neural networks to analyze data and generate content.
2. Content generation based on learned patterns
Pre-trained AI systems, which have already ee leads identified patterns in the data, are ready to take commands and generate content.
That’s why language models like GPT-3 and GPT-4 have been trained with billions of words. Only then can they generate coherent and natural responses.
Types of generative AI
Now that you know how it works, you will learn about different types and applications of generative AI.
