Advanced Prompt Engineering for Reducing Hallucination | by Bijit Ghosh | Medium

Hallucination or “making things up” is a common failure mode for large language models (LLMs) where they generate factually incorrect or nonsensical content. Some key reasons behind hallucination are: The likelihood of AI hallucination can be reduced by carefully structuring the prompts we feed these models. Various prompt engineering techniques focus on guiding the model towards producing more truthful, rational and commonsensical responses. Let’s explore the following methods for engineering prompts to reduce hallucination: For each approach, I will provide an overview of how the technique works, examples to illustrate the prompt structure, and an analysis of strengths and limitations. By the end, you should have a solid understanding of the current state-of-art in prompt engineering for reducing AI hallucination. Retrieval augmented generation (RAG) systems combine the capabilities of language models with external information sources. The key idea is to retrieve relevant context fro

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• Hiệp Nguyễn Tuấn