Reliability

4 stories tagged Reliability on Learning Fanatic.

Lesson 2.4: Checking the output: spotting hallucinations Learn why models state false things fluently, which claims carry the most risk, and a practical routine for checking facts, citations, numbers and summaries.
Lesson 6.1: Making results consistent from run to run Learn why one prompt gives different answers, how to measure the variation, and the levers and regression checks that keep results steady.
Lesson 1.2: The agent loop: observe, decide, act Follow an agent through its loop, and learn why small per-step errors compound, why context grows with every turn, and why every loop needs a limit.
Lesson 2.3: Reading results, errors and retries Learn how an agent should handle what comes back from a tool: the kinds of error, when to retry and when not to, backoff, uncertain writes and loop guards.