AutoML technology: AI is learning how to do things on its own... AI

AutoML - Ảnh 1. — Applications of AutoML technology

Artificial intelligence used to be a tool reserved for those who knew how to write code and understand algorithms. Now, with AutoML, AI itself can learn to create new AI systems.

When AI learns to build itself with AutoML

According to Tuoi Tre Online 's research, AutoML (Automated Machine Learning) is a technology that automates complex steps in the process of building machine learning models. From data processing and algorithm selection to parameter adjustment and result evaluation, everything can be performed by the system without requiring much manual intervention from engineers.

This technology not only saves time but also expands access to AI for organizations without strong technical teams. Instead of spending weeks testing algorithms, everything can now be streamlined into hours, or even minutes.

Google pioneered the AutoML platform in 2017, and subsequently, major players like Amazon and Microsoft also launched their own AutoML solutions, integrating them into their cloud services.

It's worth noting that AutoML doesn't operate in a rigid, formulaic way. The system can automatically adjust its learning strategy, change the neural network architecture, or experiment with various configurations until it finds the most effective solution.

In this way, AI is beginning to "learn how to learn" and gradually becoming less dependent on programmers.

People are irreplaceable.

While AutoML simplifies AI creation, it doesn't completely eliminate the role of humans. AI models are only truly useful when the input data is correct, the problem is clearly defined, and the results are understood in the right context—though user input and understanding are still necessary.

AutoML works best when users know exactly what they need . For example, AI can help analyze medical images, but the final diagnosis and treatment decision still rest with the doctor. In finance, AI can identify fraud trends, but analysts need to understand what that means in a real-world context.

Automation can shorten time and effort, but it cannot replace human experience, intuition, and responsibility. Instead of replacing them, AutoML acts as a supporting arm, making the decision-making process faster and more data-driven.

Another benefit is the ability to intelligently optimize the model . AutoML doesn't just choose a "decent" model; it tries multiple options, evaluates them, and delivers the best possible model based on user-provided data. As a result, the AI system's performance is not inferior to models built by experts, and in many cases, even better because AutoML doesn't skip any steps.

Ultimately, AutoML represents a significant step forward in popularizing AI technology , bringing it out of the lab and into real-world applications. Teachers, doctors, marketing professionals, and shop owners alike can leverage AI to solve their problems.

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Source: https://tuoitre.vn/cong-nghe-automl-ai-dang-tu-hoc-cach-lam-ai-20250630110417866.htm