Question Answering With Knowledge Cutoff Awareness

via “knowledge cutoff transparency with date-aware context handling”

Cost-efficient small model replacing GPT-3.5 Turbo.

Unique: Explicitly trained to acknowledge knowledge cutoff and defer to provided context rather than hallucinate, using RLHF to penalize confident false statements about post-cutoff events — more transparent than models that silently hallucinate recent information

vs others: More honest than models that hallucinate recent information without acknowledgment; requires less infrastructure than building custom web search (no need for search API integration) but requires manual context injection unlike Claude which has built-in web search