Learning

yourself how real machine learning products actually run in major tech corporations or departments? If yes, this text is for you 🙂 Before discussing scalability, please don’t hesitate to read my first article on...

an interesting library the opposite day that I hadn’t heard of before.  PythoC is a Domain-Specific Language (DSL) compiler that enables developers to jot down C programs using standard Python syntax. It takes a...

I computing 7 years ago, just after my master’s degree. At the moment, the sphere was filled with excitement but additionally skepticism. Today, quantum computing stands out as an emerging technology, alongside HPCs...

working as a machine learning engineer at a Big Tech company. On paper, I had a dream job: Flexible working Smart and friendly colleagues Great perks and advantages Good work-life balance Barely any meetings And my compensation was well over...

: Overparameterization, Generalizability, and SAM The dramatic success of recent deep learning — especially within the domains of Computer Vision and Natural Language Processing — is built on “overparameterized” models: models with good enough parameters to memorize the training data...

that reads your metrics, detects anomalies, applies predefined tuning rules, restarts jobs when essential, and logs every decision—without you watching loss curves at 2 a.m. In this text, I’ll provide a light-weight agent designed...

because the years before: fireworks across the globe. People greeted the brand new 12 months with latest resolutions and latest goals. Someone, somewhere, surely said: “2026 goes to be THE 12 months.” Then January...

on Real-World Problems is Hard Reinforcement learning looks straightforward in controlled settings: well-defined states, dense rewards, stationary dynamics, unlimited simulation. Most benchmark results are produced under those assumptions. Observations are partial and noisy, rewards...