Improving instruction hierarchy in frontier LLMs
OpenAI has launched the Instruction Hierarchy Challenge, a research effort to improve frontier LLMs' ability to prioritize trusted instructions over untrusted ones. This aims to enhance safety, steerability, and resistance to prompt injection attacks. The challenge focuses on developing methods to train models that can effectively distinguish between trusted and untrusted instructions. You can participate by submitting your approaches and results.
Key takeaways
- OpenAI launches Instruction Hierarchy Challenge to improve LLM safety.
- Goal is to train models to prioritize trusted instructions over untrusted ones.
- Challenge focuses on methods to enhance model steerability and resistance to prompt injection.
OpenAI has launched the Instruction Hierarchy Challenge, a research effort to improve frontier LLMs' ability to prioritize trusted instructions over untrusted ones. This aims to enhance safety, steerability, and resistance to prompt injection attacks. The challenge focuses on developing methods to train models that can effectively distinguish between trusted and untrusted instructions. You can participate by submitting your approaches and results.
Key takeaways
- OpenAI launches Instruction Hierarchy Challenge to improve LLM safety.
- Goal is to train models to prioritize trusted instructions over untrusted ones.
- Challenge focuses on methods to enhance model steerability and resistance to prompt injection.