Llama

Llama is Meta's family of open-source AI models, and it represents something genuinely different from ChatGPT, Claude, or Gemini. Those tools are closed systems: you interact with them through a company's interface, your data passes through their servers, and you have no control over the underlying model. Llama turns that model on its head.

Meta releases the Llama model weights publicly. Anyone can download them, run them, modify them, and build on top of them. This single decision has made Llama the foundation of a vast ecosystem of AI applications, tools, and services.

Two ways to use Llama

There are two distinct ways to use Llama, and they suit different types of users.

Via partner applications. The easiest route. Services like Groq, Perplexity, and Meta's own Meta AI app use Llama models to power their interfaces. You get a polished, easy-to-use chat experience without any technical setup. This is the option for most business owners who want to try a capable free AI without fuss.

Running it locally. More technical, but powerful. Tools like Ollama and LM Studio let you download and run Llama models directly on your own computer. Your data never leaves your machine. There are no subscription costs, no usage limits, and no reliance on any company's servers. This is the option for privacy-conscious users or developers who want complete control.

Why privacy matters here

When you use ChatGPT or Claude, your conversations pass through OpenAI's or Anthropic's servers. Both companies have privacy policies, but your data leaves your device. For most everyday tasks, this is not a concern. But for businesses handling sensitive client data, confidential legal documents, or anything regulated, it is worth thinking about.

With locally hosted Llama, nothing leaves your computer. The model runs on your own hardware, processes your text locally, and stores nothing externally. For law firms, accountants, healthcare businesses, and anyone handling sensitive information, this is a meaningful advantage.

The quality question

Llama's latest models, particularly Llama 3, are competitive with the leading commercial models. They are not quite at the very top of every benchmark, but they are genuinely capable for a wide range of tasks: writing, summarising, coding assistance, question answering, and analysis.

For everyday business use, the difference between Llama and ChatGPT is smaller than many people expect. Where you will notice the gap is in very long, nuanced tasks or highly specialised domains where the frontier commercial models have an edge.

Who should use Llama

Developers building AI-powered applications are the natural audience. Llama is the default choice for anyone building a product that needs a capable AI model without licensing costs or usage fees.

Privacy-conscious businesses who want AI assistance without sending data to third-party servers will find local Llama compelling, provided they have the technical capability to set it up.

For non-technical business owners who just want a free AI to chat with, the easiest path is Meta AI (meta.ai), which uses Llama under the hood and requires no setup at all.

Pricing

Free: The models are open source and free to use. Running them locally incurs no costs beyond your own hardware. Third-party services built on Llama vary in pricing, but many offer free tiers.