How to Choose a GPU for Local AI: VRAM, Quantization, and Model Size
For local LLMs, dedicated VRAM capacity decides which models you can load at all — compute speed only decides how fast they answer. This guide explains how…
FROM THE AUTHOR
John C. Mullen
Explore the published guides and contributions from John C. Mullen.
87 published articlesHow to Build a RAG Pipeline with LangChain and OpenAI
A LangChain RAG pipeline has three stages: index documents, retrieve the passages relevant to a query, and pass those passages to a chat model. This guide walks…
How to Create Regression Tests for AI-Generated WordPress Content
AI-generated WordPress content cannot be regression-tested with exact-match assertions, because correct output varies between runs. The practical replacement is an eval: a scored check that runs a…
How to Benchmark Local LLMs for Code Generation with a Fixed Test Suite
A fixed test suite replaces impressions with a comparable number: freeze the tasks, the harness, the runtime, and the scoring rule, then run the same suite repeatedly.…
Metadata Filtering in RAG: Permissions, Dates, and Multi-Tenant Retrieval
Metadata filtering is the retrieval-layer control that turns user identity, permissions, and dates into vector query constraints. In multi-tenant RAG, the orchestrator should apply tenant, ACL, and…
Practical AI for Beginners: Tools, Models, Workflows, and Limitations
Practical AI for beginners starts with a bounded, reviewable task rather than a tool shopping list. This guide explains the beginner stack, how to choose tools and…
Why a RAG System Retrieves the Wrong Documents
When a RAG system returns the wrong document, the language model is rarely the cause. The failure usually sits in chunking, retrieval, or ranking. This guide explains…
Retrieval-Augmented Generation: A Practical Guide to RAG Systems
Retrieval-Augmented Generation lets a language model answer from evidence in your own documents instead of relying only on its training data. This guide explains the four stages…
Common AI API Errors: Authentication, Rate Limits, and Timeouts
AI API failures usually fall into authentication, rate limit or quota, and timeout classes. Reading the HTTP status and provider error code first prevents wasted retries and…
Local AI: A Complete Guide to Running Language Models on Your Computer
Local AI means running a language model on hardware you control instead of sending prompts to a hosted service. This guide explains how local inference works, how…
How to Add Human Review Before AI Content Is Published
Adding human review before publication means inserting an explicit approval state between generation and publishing, binding that approval to a specific version of the content, and letting…
How to Store AI API Credentials in a WordPress Integration
WordPress 7.0's Connectors API standardizes how AI provider keys are configured, but a custom integration still has to decide where the secret physically lives. This guide compares…