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LLMs in Real-World Applications
Language models (LLMs) are now being used in real-world applications beyond just dialogue systems. They are becoming a common part of internet interactions and are being integrated into innovative applications.
Challenges in LLM Deployments
Deploying LLMs comes with challenges such as delayed feedback, aggregate signal analysis, and disruption of traditional testing methodologies. These challenges 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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