Overview: Prior knowledge of the size and composition of the Python dataset can assist in making informed choices in programming to avoid potential performance ...

In this video, we will learn about training word embeddings. To train word embeddings, we need to solve a fake problem. This ...

Overview ChatGPT automation helps reduce repetitive work by turning prompts into automatic actions across apps and systems.Beginners can start with no-code tool ...

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

Stay in flow with Auto Claude using multi-terminal tools and session restore, so you run tests and pick up where you left off ...

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

NVIDIA’s Nemotron 3 Nano 30B features a 1M token context and 3B-active design, helping you build faster workflows and test tools locally.

OpenAI says GPT‑5.2 is smarter than ever — but can it actually handle complex reasoning, code, planning and synthesis? I tested it with 9 real prompts to find out.

With a new year upon us, software-security experts disagree on SBOM utility — in theory, SBOMs are great, but in practice, ...

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.

The Hindu’s Data Team recently published an article detailing discrepancies in voter deletions across polling booths in Tamil ...