AI

Hands-on guides to LLMs, agents, prompt engineering, and the AI tools Botmonster runs every day for real work, not demos.

Running Gemma 4 locally with Ollama: all four model sizes compared

Google's Gemma 4 spans 2.3B to 31B parameters. Compare hardware needs, speed, and quality across all variants when running locally through Ollama.

Build a private AI search engine with SearXNG and RAG. Runs on single machine with 12 GB VRAM, delivering cited answers without external queries.

Three tiers of AI development: inline completions for flow, agent sprints for features, and overnight batch runs. Route each task to the right one.

Fine-tune Gemma 4 with Unsloth on a single GPU using QLoRA: dataset prep, the full training workflow, and GGUF export for RTX 4090 or Colab.

Gemma 4, Qwen 3.5, and Llama 4 compared on benchmarks, licensing, speed, and hardware so you can pick the right open model fast.

Transcribe and summarize meetings locally using Whisper and Llama. Privacy-first pipeline with speaker diarization and automated note generation.