Language models (LLMs) are now widely used in real-world applications, going beyond just dialogue systems. They are becoming a common part of internet interactions and being integrated into innovative applications.
Challenges in LLM Deployments:
– Challenges such as delayed feedback, aggregate signal analysis, and disruption of traditional testing methodologies can affect system performance and the evaluation of LLM actions.
Post-Facto LLM Validation:
– Researchers from UC Berkeley propose a method called “post-facto LLM validation” to ensure the safety of LLM-generated actions. This approach involves validating outcomes rather than processes and introduces mechanisms for reverting unintended actions.
GoEx: A Runtime for LLMs:
– UC Berkeley researchers have developed GoEx, a runtime environment for executing LLM-generated actions securely. It features abstractions for undoing unintended actions and confining potential damage, prioritizing safety while enabling utility.
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