AI

Anthropic releases Claude Sonnet 5 as the free default model for all users, with stronger agentic capabilities, lower API costs, and improved reliability.

A routing layer cut AI inference costs by 60%. Three months later, the quality loss was costing four to five times the savings.

Learn how to capture information from multiple sources into an LLM-powered knowledge base and query it automatically using coding agents.

A three-stage RAG retrieval pipeline runs keyword and embedding detectors in parallel, then resolves candidates with a single LLM call.

A real data preprocessing task shows where human problem-solving ends and AI assistance begins - and why the gap matters.

Learn three practical NLTK techniques—MWE tokenization, POS-aware lemmatization, and collocation extraction—to improve text preprocessing pipelines.

Learn how to build AI agents that browse real websites using Playwright, browser-use, and LangGraph — no API required.

Most outlier detection algorithms require numeric data, making categorical encoding essential. This article covers one-hot and count encoding for unsupervised o

Claude generates vector graphics natively using SVG code — no image model required. Here's the full range, with exact prompts for each example.

Five common misconceptions drive most agentic AI failures in production. None require better models to fix — they require better deployment thinking.

A practical comparison of DAX, Power Query, and Data Flows for building date tables in Power BI semantic models without a centralized data warehouse.

ML system design interviews test more than model choice. This guide walks through 10 real problems covering data, features, serving, and feedback loops.