Tag: ai

System prompts are your secret weapon. How they work, why they matter more than you think, and 5 patterns that actually change model behavior.

Q4_K_M is the default, but it's not magic. When Q3, Q5, or Q6 makes sense. How to benchmark quantization tradeoffs on your hardware.

Piper vs Coqui TTS compared: speed, voice quality, Docker setup, and Home Assistant integration. Run offline neural TTS on your own hardware, no cloud fees.

What's the actual difference between context window and token limit? Why one model says 8K and another says 128K. A practical breakdown.

Most people use OpenAI's embeddings because it's easy. But local embeddings exist. How to pick and when it actually matters.

Ollama holds models in VRAM after every request. Set keep_alive, force an unload through the API, and cap how many models stay resident at once.

ComfyUI, Fooocus, A1111, and Forge compared for local AI image generation, which to pick based on your GPU, Docker comfort level, and workflow needs.

Text Generation Web UI vs KoboldCpp: setup, model formats, samplers, APIs, and performance compared so you can pick the right local LLM frontend fast.

Compare LangGraph, CrewAI, and AutoGen with real Python examples, local-LLM wiring for each, and a no-nonsense breakdown of which one to actually use.

Self-hosting a ChatGPT alternative? Open WebUI owns local Ollama models; LibreChat handles Claude, GPT, Gemini, and more. Setup, RAG, and trade-offs compared.

Fine-tune an LLM on your gaming GPU with LoRA and QLoRA: dataset prep, Hugging Face, Unsloth, VRAM math, a full walkthrough, and mistakes that waste your afternoon.

Master Ollama with Modelfiles, GPU tuning, API usage, and performance tricks. Stop running 70B models on 8GB VRAM and wondering why everything is slow.