Delve deeper! Different types of AI that you may not have known

In an era where AI (artificial intelligence) technology advances rapidly, We've all heard the word "AI" often, but did you know that different types of AI work in different ways?

Today we will take you deep into 6 types of AI that are interesting and may not have been known before: Artificial Neural Network (ANN), Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), Generative Adversarial Network (GAN). , Transformer and Large Language Model (LLM) with easy-to-understand usage examples.

1. Artificial Neural Network (ANN)

Artificial Neural Network (ANN) or artificial neural network is a form of AI designed to imitate the functioning of the human brain. There is a connection between the "neurons" that are simulated. To learn from large amounts of data

For example, ANNs are used in handwriting recognition, such as converting handwriting to digital text in note-taking applications.

2. Convolutional Neural Network (CNN)

A Convolutional Neural Network (CNN) is a type of ANN designed to process image data. It uses filters to capture specific image characteristics such as edges, colors, and shapes.

For example, CNN is used in image recognition systems, such as detecting human faces in photographs or CCTV cameras.

3. Recurrent Neural Network (RNN)

Recurrent Neural Network (RNN) is an ANN that links data from previous steps into the next step. This makes it possible to remember the timeline and context of information well.

For example, RNN is used to predict time series data such as stock price forecasts or weather forecasts.

4. Generative Adversarial Network (GAN)

A Generative Adversarial Network (GAN) is a combination of two models: a Generator that creates new data and a Discriminator. that checks whether the generated information is real or fake. The two models compete with each other to improve data generation.

For example, GANs are used to create deepfake images, such as creating images of faces that never existed.

5. Transformer

A transformer is a structure used to process sequential data. It can recognize and create relationships between words or parts. of information well

For example, Transformer is used in machine translation systems such as Google Translate that can accurately translate text from one language to another.

 6. Large Language Model (LLM)

A Large Language Model (LLM) is a large model trained on large amounts of data. This gives the ability to understand and create natural language similar to humans.

For example, LLM is used in Intelligent Assistant systems such as ChatGPT that can answer questions and chat with users fluently.

Each type of AI has different capabilities and applications, with ANN, CNN, RNN, GAN, Transformer, and LLM all having their strengths and applications in various fields. of daily life Understanding these different types of AI will help us understand the technology that is changing our world. and can be applied effectively in work or daily life

If you are interested and want to learn more about AI, be sure to follow our articles and news. To update our knowledge and prepare for the future where AI technology plays an increasingly important role in our lives.