A production recommender on Amazon EKS lives or dies on infrastructure, not the model. Here’s how I set up a multistage system with NVIDIA Triton, cut feature lookup latency with an in-memory cache, and scale GPU nodes with HPA and Karpenter.
WordPress 7.0 is out, and the AI work behind it keeps moving. Here is what the AI contributors are working on: scaling the Abilities API, a Secrets Management API, hook-based init, and keeping C2PA metadata in the media library.
LLM-extracted themes are model outputs that only exist when a customer left text behind. Treat them as plain database columns and selection, timing and measurement error can flip the sign of your regression.
When your data outgrows your laptop’s RAM, Pandas stops being enough. Here’s how PySpark spreads the work across a cluster, why lazy evaluation matters, and a first DataFrame to get you started.
Off-the-shelf LLMs make poor synthetic survey respondents because they collapse to the mean. Unlearning memorized statistics with gradient ascent brings back the spread you see in real populations.
The Core AI team has new leadership, the Abilities API is in core, and the WP AI Client is headed for WordPress 7.0. Here’s why a shared infrastructure beats isolated AI plugins, and how to register your functions as Abilities.
A static RAG pipeline goes stale fast. Here’s why grounding LLMs with live search results works better for real-time facts, and how to wire a search API into your WordPress backend with PHP and transients.
I stopped hand-reviewing every line my coding agents write. What I do instead: fine-grained permissions in settings.json, a strict deny list for destructive commands, and a second agent that reviews the first one’s work.
I spent months trying to make Claude Code my main tool, but since GPT-5.5 I’ve moved complex WordPress refactoring back to OpenAI Codex. Here’s my setup: reasoning levels, Playwright MCP, and a worktree alias.
Chunk-and-embed RAG loses the hierarchy that gives a 200-page contract its meaning. How the Proxy-Pointer framework indexes structural breadcrumbs instead of raw text, and how the two-stage retrieval works in Python.