What are the two main ways to use LLMs?

• A. Only offline on local machines.
• B. Run them locally or access them via cloud/API.
• C. Only via specialized hardware.
• D. Only through batch processing.

Answer: (B)

Two main ways to use LLMs are running them locally on your own hardware or accessing them through cloud services or APIs. Running locally means hosting the model on your own machines or in your own data center, handling the inference and model management yourself. This gives you direct control over data privacy, latency, and customization, but it also requires sufficient compute resources (like GPUs) and the right software setup.

Using cloud services or APIs involves sending prompts to a hosted model managed by a provider and receiving the generated responses over the internet. This approach scales easily, avoids the need to own powerful hardware, and gives you access to latest models and updates with typically simpler maintenance and pricing based on usage.

The other options aren’t as accurate because offline/local execution is possible but not the only method; specialized hardware isn’t a necessity since many models can run on standard setups or via optimized configurations; and while batch processing is a valid use case, LLMs are commonly used in interactive or API-driven workflows as well, not exclusively in batches.