RDPCORE / ARTIFICIAL INTELLIGENCE

AI
in practice.

A model can sound convincing and still get the answer wrong. Explore how prompts, test cases and human review shape an AI workflow.

An idea begins with a few lines.

Software · turn a thought into something that works.

Test Retrieval Before You Rewrite the Prompt

Give the generator the correct passage in a controlled test. The result helps distinguish a retrieval failure from a grounding failure.

A half-point gain becomes meaningful only in context. Examine comparable baselines, variation and interactions before adopting a component.

A proposal can become a commitment in one careless sentence. Verify owners, deadlines and decisions against the transcript.

Calculate the cost of active tokens as well as model weights before choosing GPU capacity for concurrent requests.

AI 3 min

Suggested ticket labels and automatic refunds have different failure costs. Start the pilot where a reviewer can still correct the decision.

Build a held-out set, blind the reviewers and price the mistakes that matter to your application.