Guide

Bayesian statistics you’ve likely encountered MCMC. While the remaining of the world is fixated on the newest LLM hype, Markov Chain Monte Carlo stays the quiet workhorse of high-end quantitative finance and risk...

crossroads in the information world. On one hand, there's a universal recognition of the worth of internal data for AI. Everyone understands that data is the critical foundational layer that unlocks value for agents...

is Nikolay Nikitin, PhD. I'm the Research Lead on the AI Institute of ITMO University and an open-source enthusiast. I often see a lot of my colleagues failing to seek out the time...

of the brand new things I’ve come across recently, while researching command-line-based coding assistants, is the mention and use of a tool I hadn’t heard of before. That tool known as Tmux, which...

frustrating issues to debug in data science code aren’t syntax errors or logical mistakes. Quite, they arrive from code that does exactly what it's presupposed to do, but takes its sweet time doing...

3. Permissions by design: Bind tools to tasks, to not models A standard anti-pattern is to offer the model a long-lived credential and hope prompts keep it polite. SAIF and NIST argue...

Explainability in AI is important for gaining trust in model predictions and is extremely essential for improving model robustness. Good explainability often acts as a debugging tool, revealing flaws within the model training process....

that linear models will be… well, stiff. Have you ever ever checked out a scatter plot and realized a straight line just isn’t going to chop it? We’ve all been there. Real-world data is...