How to Automate WordPress Tasks with Ollama and WP-CLI
WP-CLI handles the deterministic WordPress operations, and a local Ollama model supplies the judgement layer that shell scripts lack. This guide shows how to pipe WP-CLI's JSON…
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10 published articlesWP-CLI handles the deterministic WordPress operations, and a local Ollama model supplies the judgement layer that shell scripts lack. This guide shows how to pipe WP-CLI's JSON…
Exact reproduction of an Ollama run requires pinning five layers at once: the model artifact, the runtime version, the sampling parameters, the prompt and context, and the…
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…
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.…
Quantization rewrites a model's weights in lower precision while leaving its architecture, tokenizer, and parameter count intact. The memory savings are predictable; the quality cost is not,…
Choosing a local AI model is a hardware-fit problem before it is a model-quality problem. Define the job, find your real memory budget, estimate weights plus KV…
Ollama installs with a single command on macOS, Linux, and Windows, and a first local model can be running within minutes. This guide covers prerequisites, installation per…
A reliable AI content workflow gives each task to the party that can do it safely, keeps every claim linked to a source, and names a human…
When you run a local LLM, VRAM is where inference happens on the GPU, while system RAM provides capacity for loading models, CPU inference, and offloading. Both…
Ollama listens on 127.0.0.1:11434 by default, so nothing outside the host machine can reach it. Making it available to a phone, laptop, or second PC means changing…