AI / A CONCEPT NOTE

Alignment

ensuring helpful, honest, and harmless outputs

~65 sec read

Overview · mechanism
pitfall · examples

01 / THE SHORT VERSION

The idea in a few sentences.

The engineering discipline of configuring models so that their generations match human values, avoiding toxicity, bias, and generation of dangerous instructions.

02 / FOLLOW THE MECHANISM

How alignment runs

  1. Define principles

    establish rules: do not help write malware, do not insult users.

  2. Supervised tune

    train model on safe, aligned database response templates.

  3. Filter check

    runs red-teaming checks to verify the model rejects harmful prompts.

04 / COMMAND NOTES

Read the command, then the result.

Inspect the flags and arguments before trying an example. Snippets can need local setup, replacement values, or resources in your own environment.

EXAMPLE 01 · REFERENCE

run security checks against local endpoints

promptfoo redteam

Explore command anatomy in the CLI lab