Content Repurposer: One Article Becomes Seven Posts

Описание и применение

Используя локальный Llama3.2 через Ollama, разработчик может бесплатно и приватно генерировать несколько публикаций из одной статьи, избегая затрат на облачные API.

Задача

Using cloud AI for content generation is costly, slow, and requires sending data to external servers.

Результат

The developer can transform one article into seven distinct posts locally, eliminating API costs and ensuring data privacy.

Рабочий процесс

• Install Ollama and pull the Llama3.2 model via Homebrew
• Start the local Ollama server
• Send prompts to the local model using a simple Python script that posts to http://localhost:11434/api/generate
• Receive and use the generated text for content repurposing
• Repeat for each desired output format (e.g., blog post, social media snippets)

Доказательства

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

Источник

brew install ollama ollama pull llama3.2 ollama serve

Источник