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Reducing hallucinations in AI outputs

Despite the remarkable capabilities of advanced language models, there are instances where the generated content may contain inaccuracies or deviate from the intended context. This occurrence is commonly referred to as "hallucination,. This article outlines effective strategies to minimize hallucinations, thereby enhancing the reliability of Lampi AI's outputs.

Strategies for minimizing hallucinations​

Allow your AI Chat Agent to express uncertainty​

Tell your Chat Agent to acknowledge when it does not have sufficient information. This encourages more cautious and accurate responses.

Illustration: Evaluating a financial investment

As our financial analyst, please evaluate this investment proposal for XYZ Corp.

<Insert proposal here>

Instructions: Focus on key financial indicators, potential risks, and market trends. If you encounter any ambiguous areas or lack of data, respond with, "I cannot adequately assess this without more information."

Utilize direct quotes for factual verification​

Instruct your Chat Agent to extract verbatim quotes before proceeding with any analysis. This helps ground its responses in the original text.

Illustration: Reviewing a Compliance Document

Review this compliance document for adherence to relevant regulations.

<Insert compliance document here>

Your task is to extract the most relevant quotes pertaining to regulatory compliance. If no pertinent quotes are found, state, "No applicable quotes found."

Utilize the extracted quotes to evaluate compliance, referencing each quote by its number. Ensure that your assessment is founded solely on the provided quotes.

You can also require your Chat Agent to cite relevant quotes and sources for each assertion made.

Other techniques​

  • Use only provided knowledge: Tell your Chat Agent to rely exclusively on the selected documents and context when the assignment requires it.
  • Use a defined review method: Ask your Chat Agent to follow clear criteria and show the evidence supporting each conclusion.
  • Compare outputs: Run the same prompt more than once and compare the results when consistency is important.

Note: While these strategies can significantly reduce the occurrence of hallucinations, it is important to recognize that they cannot be completely eradicated. Always verify critical information, especially when making significant decisions that could have substantial implications. Adopting these best practices will enhance the accuracy and reliability of your AI-generated outputs.

Verify AI outputs with Lampi​

Lampi has integrated a cutting-edge verification system to facilitate the assessment of AI-generated outputs when utilizing the Search and Web tools. This system is designed to enhance the trustworthiness of the information provided and ensure users can easily cross-reference the content with original sources.

Accessing source files​

When you submit a query, Lampi first displays all the files utilized to generate the response. You can click on any of these files to view them in detail, allowing you to examine the relevant sections that informed the AI's answer. This feature enables users to verify the context and accuracy of the information presented.

Source attribution for each sentence​

For each sentence generated by Lampi, the system identifies the exact sources of information used to construct that statement. You have the option to view the specific excerpts from the relevant texts. This transparency helps you understand the foundation of the AI's insights and ensures that the content is rooted in reliable sources.

Next: Writing effective prompts →