
Process language
Many languages. It’s been a paramount advancement in the branch of Natural Language Processing (NLP), the field of computer science working on making human language digestible to machines.

Mirror a brain
A smart brain. ChatGPT’s algorithm works like a “neural network”: a type of computer program based on the way human brains work; however, ChatGPT picks words using statistical analysis, and it might get hallucinations (Stack Overflows knows it well).

Be trained on data
Lots of it. It’s built on 175 billion parameters (different kinds of texts). To get the idea, that’s more than 20 times the world population.

Answer questions
Millions of questions. ChatGPT’s algorithm uses data to learn the patterns and structure of language, generating fine-tuned human-like answers.
To sum upChatGPT is an AI chatbot based on billions of human text parameters. It can generate human-like responses on every possible topic you can think of thanks to a machine learning model known as neural networks. And yes, the results, while sometimes slightly inaccurate or utterly wrong, are quite impressive.
Neural networks in Education
Well, before this research, no one believed neural networks could solve math problems, while this particular network in action had 81% accuracy – which is very similar to human-level results.
If an algorithm is able to create and solve complex problems, it could be a great way to generate tailored tests and learning experiences that address specific learners’ needs, provide feedback and help teachers to focus on the actual teaching.
To sum upChatGPT was the straw that broke the camel’s back. However, tools like this are only the beginning of a revolution we will see in the ears to come, and we need to get familiar with them.
To sum upHere are the possible benefits AI tools like ChatGPT and neural networks can bring to the classroom: for teachers, new ways to assess knowledge and more time to actually teach; for students, to gain new skills and follow more personalized learning paths.