Safety

A small medical fine-tune leaks verbatim credit-card snippets under red-teaming: identify the failure mode and the standard mitigation

Design a fine-tune that teaches a model to refuse when the retrieved context lacks the answer.

A consumer-facing LLM product is about to launch. Describe the safety evaluation that should run first.

Over-refusal: what it is and how naive safety FT causes it

Naive safety FT failed: model now refuses 'how does anesthesia work?'. Best fix?

Design the post-FT eval suite for a customer-support fine-tune

Which buckets MUST a post-FT eval suite include for a customer-support fine-tune?