Context is crucial for effective communication with language models. Generic large language models (LLMs) lack familiarity with specific products, teams, or documentation, which can lead to inaccuracies. Natrul.ai addresses this by providing tailored responses that significantly lower hallucinations—false or misleading information generated by the model. This customization ensures hyper-relevant answers, enhancing the overall user experience. By incorporating contextual knowledge, Natrul.ai fosters greater trust among users, as they receive reliable and pertinent information. Ultimately, this approach bridges the gap between generic LLMs and the specific needs of businesses and their audiences, leading to more effective interactions.
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Optimizing Text: AI APIs for Autocomplete, Search, and Enhancement
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