What are AI hallucinations?
Another term for an AI hallucination is confabulation.
Why do AI hallucinations occur?
LMMs are designed to generate unique, fluent, and coherent text, but they lack the ability to apply logic to their content. AI can’t determine on its own if the text it generates is plausible or factual in reality.
However, AI hallucinations are not always plausible. Sometimes they are nonsensical. There is no obvious way to determine what causes hallucinations on a case-by-case basis.
What causes AI hallucinations?
AI hallucinations can happen because of inaccurate information in the source content. LLMs rely on large data sets, but that data can contain errors, biases, or inconsistencies.
Hallucinations can also occur from training and generation methods. For example, models might be biased towards generic or specific words, influencing the information they generate.
AI hallucinations can happen if the input prompt is unclear, inconsistent, or contradictory. While the previous two reasons for hallucinations are out of the user’s hands, precise user input can help avoid AI hallucinations.
What are the types of AI hallucinations?
AI hallucinations can range from minor inconsistencies to completely fabricated or contradictory information.
There are several types, including:
Prompt: Write me a birthday card for mom.
Expected AI answer: Happy birthday, mom. I love you.
Hallucinated AI response: I am so happy we are celebrating our first anniversary! To many more. Love, Lucy.
Prompt: Tell me about the benefits of meditation.
Expected AI answer: Meditation has numerous benefits, including stress reduction, improved focus, and emotional well-being.
Hallucinated AI response: Meditation transcends earthly concerns, unlocking portals to a parallel dimension where unicorns offer wisdom, and your thoughts are glittering butterflies guiding you through the cosmic realm of inner tranquility.
Prompt: What is the capital of France?
Expected AI answer: The capital of France is Paris.
Hallucinated AI response: The capital of France is Zagreb.
Prompt: Can you recommend a good chocolate chip cookie recipe?
Expected AI answer: Certainly! Here is a classic chocolate chip cookie recipe with step-by-step instructions.
Hallucinated AI response: Here is a classic chocolate chip cookie recipe. Today’s temperature in Toronto is –2 degrees.
How to prevent AI hallucinations?
There are several ways users can minimize the occurrence of AI hallucinations:
- Use clear and specific prompts – give the model a role to play, add additional context to guide the LLM to the intended output
- Give examples – give several examples of the desired output format to help the LLMs recognize patterns
- Tune LLM’s parameters – LLMs often have parameters that users can tune. For example, temperature parameters, which control output randomness, when the temperature is set higher, LLM’s outputs are more random
FAQs about AI hallucinations
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