Learning Hub
Local LLM Academy
Structured resources for choosing, running, evaluating, and securing local LLMs. Start with the decision flow, then deepen into evals, security, and operations.
Decide
Match your task, budget, and privacy needs to a practical local stack.
Outcome: Leaves with a recommended runtime + model starting point.
Compare
Understand runtime and model tradeoffs before committing setup time.
Outcome: Chooses the right runtime and shortlists candidate models.
Evaluate
Use benchmark literacy and self-eval templates focused on your own task.
Outcome: Validates model quality with task-relevant tests.
Secure
Apply practical controls for prompt injection, leakage, and unsafe tools.
Outcome: Runs local AI with safer defaults and better controls.
License
Understand common model license classes and commercial-use caveats.
Outcome: Avoids legal mistakes before deployment.
Optimize
Estimate local-vs-cloud cost and set a repeatable weekly segment review.
Outcome: Improves ROI and prioritizes the highest-value content paths.