The native just-in-time compiler in Python 3.15 can speed up code by as much as 20% or more, although it’s still experimental ...

In this video, we will about training word embeddings by writing a python code. So we will write a python code to train word embeddings. To train word embeddings, we need to solve a fake problem. This ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write ...

Saurabh Misra work spans machine learning, large-scale systems, and software performance, with a consistent focus on building faster, more efficient, and more sustainable technology.

Learn how we built a WordPress plugin that uses vectors and LLMs to manage semantic internal linking directly inside the ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

The 2025 SANS SOC Survey shows AI use is rising, but many SOCs lack integration, customization, and clear validation ...

Aider is a “pair-programming” tool that can use various providers as the AI back end, including a locally running instance of ...

Discover the 10 best Infrastructure as Code (IaC) tools for DevOps teams in 2025. Learn how these tools enhance automation, stability, and scalability in cloud environments. Improve your deployment ...

There is a common misconception that AI applications can be sufficiently tested and derisked by running a pilot in a ...

You might be staring at your budget, wondering how you’re supposed to cover rent, debt, and everything else on $20–$25 an ...

A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.