Tool Calling Explained: How AI Agents Decide What to Do Next
Tool calling transforms LLMs from text generators into agents that trigger real actions. Learn how the tool-calling loop works with practical code examples.
Data Science
Materialized Lake Views in Microsoft Fabric: GA Features Explained
Materialized lake views in Microsoft Fabric simplify medallion pipelines into declarative SQL. Here's what changed from preview to general availability.
7 Practical SQL Patterns Every Data Scientist Should Know
Seven SQL patterns beyond basic queries, covering window functions, self-joins, rolling averages, and customer segmentation using a real SaaS transactions datas
Building a Custom GStreamer Plugin for NVIDIA DeepStream in Python
Learn how to build a custom Python GStreamer plugin for NVIDIA DeepStream using pyservicemaker to run custom inference and write detection metadata.
AI Engineering Tools Everyone Is Using in 2026
A practical rundown of the AI engineering tools dominating developer workflows in 2026, from coding agents to observability platforms.
Building Context-Aware Semantic Search in Python with LLM Embeddings
Learn to build a semantic search engine combining embedding-based similarity with metadata filtering. No API key required.
Agentic Programming: A Roadmap from Zero to Production
A structured guide to agentic programming covering core concepts, frameworks, and a month-by-month learning plan for building production-ready AI agents.
Choosing the Right Agentic Design Pattern: A Decision Tree Approach
A five-question decision tree to help you select the right agentic design pattern based on task properties, constraints, and trade-offs.