Llm Alignment
Process of training and testing Large Language Models (LLMs) to ensure safe operation by handling diverse inputs, including adversarial ones that may mislead or disrupt the model.
Areas of application
- Artificial Intelligence
- Natural Language Processing
- Machine Learning
- AI Safety
- Robotics
Example
A company developing a chatbot for customer service trains their LLM using adversarial examples to ensure it can handle abusive or confusing messages from users without producing inappropriate responses.