O Ollama é seguro? Uma avaliação prática de segurança
Yes, for its core job. Local inference runs entirely on your machine — prompts and outputs are not sent anywhere. […]
Step-by-step AI tutorials that assume you want to run something today: installing local model runtimes, sizing hardware, serving APIs and fixing what breaks.
Yes, for its core job. Local inference runs entirely on your machine — prompts and outputs are not sent anywhere. […]
The default Ollama port is 11434, served over plain HTTP and bound to 127.0.0.1 (localhost only). Change it with the OLLAMA_HOST environment variable — e.g.
vLLM is an open-source inference engine for serving LLMs on GPUs at high throughput, exposing them through an OpenAI-compatible HTTP API.Its two core techniques — PagedAttention and continuous batching — let one GPU handle many concurrent requests without wasting VRAM.Install with pip install vllm in a fresh Python environment on Linux (NVIDIA GPU, compute capability 7.0+), then start a server with vllm serve <model>.It is built for serving many users or apps.
GGUF é o formato de arquivo usado para executar modelos de linguagem de grande porte (LLM) localmente.
Windows: press Ctrl+Shift+Esc → Performance → GPU and read Dedicated GPU memory.
A practical, code-first walkthrough of building a retrieval-augmented generation pipeline in 2026 — from embeddings and chunking to vector storage, reranking, and generation, with verified tool versions and honest notes on what actually works.
Llama 3 8B runs surprisingly well on 2026 flagship Android phones — at usable speed, offline, with no API costs. Here’s exactly how to set it up on a Snapdragon 8 Gen 4 device.
Setting up your first local llm with ollama.
Creating an ai-powered resume screener (full tutorial).
From zero to ai engineer: your 90-day learning path.
How to train a custom gpt: step-by-step tutorial.
Build a personal ai assistant in 30 minutes (python tutorial).