Welcome to the FAQ page for Infermatic.ai! Here, you can find answers to your questions about large language models and the AI industry. Whether you’re curious about how to use our tools or want to learn more about AI, this page is a great place to start.
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Related Questions
- What are the most common types of attacks on large language models (LLMs) and how do they affect model performance?
- Can you explain how adversarial examples can be used to attack LLMs and how to defend against them?
- How does data poisoning affect LLMs and what techniques can be used to prevent it?
- What are some common defenses against LLM attacks, such as watermarking and robust training?
- How can LLM developers use active learning and human evaluation to improve model robustness against attacks?
- What role do data preprocessing and regularization play in preventing LLM attacks?
- Can you provide examples of successful attacks on LLMs and the consequences of these attacks in real-world applications?
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