Joe Bloggs
11 Jan 2022
•
5
min read
Sentinel equips businesses with the tools to create cutting-edge GenAI applications, offering peace of mind against risks such as prompt injections, data breaches, harmful content, and other challenges specific to Large Language Models.
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# Import necessary libraries for LLM
from some_llm_library import LargeLanguageModel
# Import the sentinel module for security
from sentinel_security import Sentinel
def initialize_model_with_security():
# Initialize the Large Language Model
llm = LargeLanguageModel()
# Initialize the Sentinel with custom security rules
security_rules = {
"block_profanity": True,
"prevent_sensitive_data_leakage": True,
"enforce_ethical_guidelines": True
}
sentinel = Sentinel(rules=security_rules)
# Attach the Sentinel to the LLM for monitoring and security
llm.attach_security_layer(sentinel)
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