Golden Sets: Create Small, Mighty Test Suites
How to Define and Use a Golden Set for Reliable End-to-End Testing Create a compact, high-value Golden Set to catch regressions faster, reduce flaky failur
Golden Sets: Create Small, Mighty Test Suites
Building a Golden Set for End-to-End Test Reliability Create a compact, high-confidence "Golden Set" of end-to-end tests to reduce flakiness, speed CI feed
Golden Sets: Create Small, Mighty Test Suites
Practical approach to building effective representative test sets Create fast, reliable representative test sets that catch regressions and speed CI feedba
Golden Sets: Create Small, Mighty Test Suites
Golden Sets: Build Reliable Tests for Machine Learning Systems Create concise golden sets that catch regressions and ensure model quality—practical steps,
Ollama 101: Install, Pull, Run, Repeat
How to Use Ollama Locally: Install, Run, and Optimize LLMs Get Ollama running locally to run LLMs securely and fast—step-by-step install, model management,
Document Chunking: Size, Overlap, and What Actually Works
Practical Guide to Document Chunking for LLMs Learn how to chunk documents for better LLM performance—improve accuracy, retrieval, and cost efficiency with
System vs. User vs. Tool Prompts: Roles that Change Results
Prompt Engineering: Define Scope, Roles, and Reliable Prompts Clear prompt design reduces hallucinations, improves reliability, and speeds integration — fo
Embeddings 101: Turning Words Into Vectors You Can Search
Understanding and Using Embeddings for Semantic Search Learn how to choose, prepare, index, and evaluate embeddings to build fast, accurate semantic search
The Modern AI Toolkit: What to Learn First
How to Build Real-World AI Skills: A Practical Roadmap Turn AI curiosity into measurable projects with a skills-first roadmap that gets you from fundamenta
GDPR for AI Features: A Plain‑Language Guide
GDPR Compliance Checklist for AI Features Practical, developer-friendly guidance to make AI features GDPR-compliant — reduce legal risk, protect users, and