Recently, my team had an interesting architectural debate. We are building a query transformation feature to help other teams build great LLM-based applications. Query transformation optimizes an initial user input for efficient information retrieval or further processing. For example, rewriting a query for clarification (who is "he"?), decomposing it into smaller pieces, or utilizing conversation history to re-examine the context. The core dilemma we faced was whether to imp

Lakera has released a fun and interactive game that highlights the security vulnerabilities of large language models (LLMs). In this...