GitHub Actions for Free 24/7 AI Automation

Описание и применение

Автор использует Ollama для запуска модели llama3.2 локально на MacBook, устраняя расходы на токены и обеспечивая приватность данных.

Задача

Every token costs money, every API call adds up, and data goes to cloud servers.

Результат

The author built 45 free, local AI tools that run 24/7 without cloud costs, enabling RAG systems, offline voice assistants, code reviewers, content generators, and personal AI.

Рабочий процесс

• Install Ollama with brew install ollama
• Pull the llama3.2 model using ollama pull llama3.2
• Start the local server with ollama serve
• Send requests to the local endpoint http://localhost:11434/api/generate via a Python script

Доказательства

Every token costs money. Every API call adds up. And your data goes to their servers.

Источник

brew install ollama ollama pull llama3.2 ollama serve

Источник

Now you have a GPT-4 level model running on your MacBook. Free. Private. Fast.

Источник

I built 45 tools using this stack. All free. All local. All open source.

Источник