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 ...

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 ...

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

The best new features and fixes in Python 3.14 Released in October 2025, the latest edition of Python makes free-threaded ...

Overview: Interactive Python courses emphasize hands-on coding instead of passive video learning.Short lessons with instant ...

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

A critical LangChain AI vulnerability exposes millions of apps to theft and code injection, prompting urgent patching and ...

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

Security researchers uncovered a range of cyber issues targeting AI systems that users and developers should be aware of — ...

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.

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

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