Prevent Inaccuracies in LLM Outputs with Contextual Grounding
Detects LLM responses that contain information not in the provided context or
contradict it, helping identify hallucinations and ensure factual accuracy.
You can now
enable Contextual Grounding detection in
your LLM response, which detects responses that contain information not present in
or contradicting the provided context. This feature works by comparing the LLM's
generated output against a defined input context. If the response includes
information that wasn't supplied in the context or directly contradicts it, the
detection flags these inconsistencies, helping to identify potential hallucinations
or factual inaccuracies.
Ensuring that LLM responses are grounded in the provided context is
critical for applications where factual accuracy and reliability are paramount.
