LLMs for Evil
Data Skeptic
Approaches to Avoid Issues with Large Language Models
This chapter discusses current scholarship on methods to prevent problems with large language models, such as using reinforcement learning to incentivize accuracy and prompt tuning techniques to protect private information.
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