Overview Pandas continues to be a core Python skill in 2026, powering data analysis, cleaning, and engineering workflows ...

On SWE-Bench Verified, the model achieved a score of 70.6%. This performance is notably competitive when placed alongside significantly larger models; it outpaces DeepSeek-V3.2, which scores 70.2%, ...

The competitive advantage in AI is no longer coming from better prompts or larger models. It is coming from better architecture.

If your prompts influence policy, finance or patient care but live in chat threads, you don’t have innovation — you have unmanaged risk.

Two months after .NET 10.0, Microsoft starts preview series for version 11, primarily with innovations in the web frontend ...

Find out why the most important career in the 2026 AI revolution is data engineering. Discover the technologies that drive ...

Understand what GEO is, how it's revolutionizing digital marketing and key strategies to optimize for AI-driven search.

Local beats the cloud ...

This project provides a from-scratch PyTorch implementation of Google DeepMind's Gemma3 270M model. It features a streamlined transformer architecture designed to help users understand and experiment ...

This repository contains code and data for "Learning to Compress Prompts with Gist Tokens." Training results are reproducible only with DeepSpeed version 0.8.3. For some (currently unknown) reason, ...

Semantic brand equity ensures LLMs and AI search engines recommend your business. Our guide reveals how AI perceives and ranks your brand.

In my previous post, I walked through how disconnected MCP servers and AI agents create a growing blind spot in enterprise ...