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Is Stack Overflow Dead? LLMs too?

· 5 min read
Bilel Saghrouchni
PhD Student in Machine Learning

It's no secret today that LLMs need an enormous amount of text data to be trained effectively. Due to its immense volume, the web quickly became the primary data source, and the majority of training datasets are now based on it. In addition to the stratospheric amount of data, the diversity of sources is also a key factor in ensuring good coverage of different writing styles, topics, and contexts. Among these sources, developer forums like Stack Overflow play a crucial role. But in recent years, activity on Stack Overflow has seen a significant decline, raising questions about its future and its potential impact on future LLM training.

A Security Agent for Your Network? Reinforcement Learning for Detecting Anomalies in Network Traffic

· 5 min read
Bilel Saghrouchni
PhD Student in Machine Learning

Our daily lives are becoming increasingly digital, and computer networks continue to grow in both size and complexity. The traffic they carry is becoming denser and more diverse: banking transactions, health data, private communications, etc.
With the rise of so-called intelligent technologies — smart homes, smart cities, personalized medicine — the number of connected devices is expected to exceed 50 billion by the end of 2025. These devices, though ubiquitous, are often poorly secured: neglected updates, weak passwords, outdated protocols.
In this context, computer networks are prime targets for cybercriminals, who benefit from an ever-expanding attack surface. Designing effective and robust cybersecurity solutions has thus become a critical challenge — a fast-moving research field, but also an increasingly complex one.