It's important to acknowledge that no vendor can guarantee no hallucinations, as they are an inherent risk with current large language models (LLM) technology stemming from the generative nature of these models. However, we have taken every precaution to mitigate this risk and ensure trustworthy outputs:
In addition to the measures listed above, we also provide traceability of responses by providing users with the specific references or sources that were used to generate a response, so that they can validate the response themselves.
Ultimately, we have robust processes to ground Otter's LLM outputs in applicable content and enable continual enhancement through user feedback. Maintaining accuracy and trustworthiness remains our top priority.
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