Tag: ai

Temperature, top-p, top-k, context length, LLM inference parameters explained so you stop guessing why the model gives weird output.

Write Stable Diffusion prompts that land: specificity, style, and mood cues, plus 11 worked prompt variations from cyberpunk cities to steampunk contraptions.

Write prompts that get useful results, role prompting, few-shot examples, chain-of-thought, and the patterns that work across any LLM.

GGUF, GGML, AWQ, GPTQ, LLM file formats and quantization levels explained: trade-offs between model quality, size, and inference speed.

LLaMA, Mistral, Falcon, GPT, the LLM landscape is crowded. Compare model families, sizes, licensing, and what each is actually good for.

Ollama makes local LLMs easy to start. The only decision that matters is whether the model fits your VRAM. Compose file, real sizes, and the gotchas.

LocalAI serves chat, embeddings, images and audio behind one OpenAI-compatible endpoint. Auth is deny-by-default now, and old compose files pull dead models.

Supervised, unsupervised, and reinforcement learning without the math or the hype. What each kind of machine learning model does and where each one fits.