Tag: ai

CUDA vs ROCm for AI on Linux: NVIDIA's easy path, AMD's emotional journey, and why CPU inference isn't dead yet. Real Docker setups included.

Flowise vs Langflow compared: self-hosted, Docker-ready visual LLM workflow builders. Build no-code AI pipelines, RAG chatbots, and more, without losing your mind.

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 actually work, style keywords, negative prompts, weights, and the patterns that get consistent results.

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 running local LLMs dead simple, pull a model, start the server, and get a private ChatGPT running on your own hardware.

LocalAI is a self-hosted OpenAI-compatible API, run any GGUF model and connect existing tools without changing a line of client code.

Supervised, unsupervised, reinforcement learning, the ML model landscape explained without drowning in math or hype.