But what is your honest answer? Aiding LLM-judges with honest alternatives using steering vectors
Researchers introduce Judge Using Safety-Steered Alternatives (JUSSA), a framework that optimizes honesty-promoting steering vectors for LLM-judges. JUSSA enables LLM-judges to detect subtle dishonesty and provide more accurate evaluations. This development has significant implications for AI research, as it offers a new approach to improving LLM performance. With JUSSA, users can expect to see more accurate and reliable results. Engagement score: 6
Read the full story on arXiv→Show HN: Baton – A desktop app for developing with AI agents
Baton is a desktop app designed for developing with AI agents. It provides a seamless way to manage multiple AI agents, worktrees, and projects. Baton offers features such as agent monitoring, status tracking, and quick spin-up of new agents. This development has significant implications for AI enthusiasts and professionals, as it offers a new tool for streamlining AI development. With Baton, users can expect to see improved productivity and efficiency. Engagement score: 5
Read the full story on getbaton.dev→