Q$1.$ What is a primary risk when interacting with Large Language Models $($LLMs$)$ without proper security measures?

$1-$ LLMs may perform poorly on unseen data

$2-$ LLMs can inadvertently expose sensitive information

$3-$ LLMs require extensive manual tuning

$4-$ LLMs operate independently without any human oversight

Q$2.$Which approach is recommended to mitigate security risks associated with LLM plugins?

$1-$ Increasing the complexity of plugins to enhance security

$2-$ Using strict input validation and authorization checks

$3-$ Allowing plugins to execute with full system privileges

$4-$ Reducing the frequency of plugin updates

Q$3.$ What does Excessive Agency in an LLM entail?

$1-$The LLM has limited access to external APIs

$2-$The LLM has autonomy beyond its functional necessities, leading to potential misuse

$3-$The LLM relies heavily on manual inputs for each task

$4-$The LLM has restrictions that prevent it from accessing any network resources

Q$4.$ Why is continuous validation of LLM outputs important?

$1-$It ensures the LLM is always active and engaged

$2-$It helps maintain the LLM$$s efficiency in data processing

$3-$It prevents the LLM from overusing computational resources

$4-$It mitigates the risks associated with inaccurate or misleading LLM outputs

Q$5.$ How does human oversight contribute to the security of LLM applications?

$1-$ By completely automating the security process

$2-$ By providing a necessary check on the outputs generated by LLMs

$3-$ By increasing the processing power required for LLM operations

$4-$ By limiting the LLM$\text{'}$s ability to learn from new data