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|LLM|AI|HALLUCINATION|PROMPT ENGINEERING|BENCHMARK|
What Is The Best Therapy For a Hallucinating AI Patient?
Exploring the Art and Science of Prompt Engineering to Cure LLM Hallucinations
Without execution, ‘vision’ is just another word for hallucination. — Mark V. Hurd
A hallucination is a fact, not an error; what is erroneous is a judgment based upon it. — Bertrand Russell
Large language models (LLMs) are ubiquitous today, especially because of their ability to generate text and adapt to different tasks without being trained. In addition, there has been debate about their reasoning capabilities and being able to apply them to solving complex problems or making decisions. Despite what seems like a success story, LLMs are not without flaws and can sometimes generate inaccurate or misleading information, often referred to as hallucinations. Hallucinations are dangerous because they can produce factual errors, bias, and misinformation. Hallucinations and lack of understanding can be a serious risk for sensitive applications (medical, financial, and so on).
One of the reasons for the great success of LLMs is that the interaction is through natural language. A user can simply type in natural language instructions (the prompt) and the model produces output. This has led to the development of various prompt engineering techniques to improve the capabilities of a model for certain tasks. On the one hand, there are prompts created to mitigate hallucinations; on the other hand, these prompts are believed to naturally reduce hallucinations because they have the…
