WEBVTT

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Guardrails.

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AI is a powerful tool in promoting the ethical and responsible deployment of large language models.

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However, it's essential to understand its limitations to effectively integrate it into your AI strategy.

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Guardrails I cannot introduce new capabilities to an LLM.

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If a model lacks the functionality to perform a specific task.

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Guardrails.

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I cannot compensate for this deficiency.

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While guardrails, I can enforce rules and standards to mitigate bias in outputs, it cannot rectify

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inherent biases or discrimination within the LLM itself or the data it was trained on.

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The tool operates within the constraints of existing data and model architecture.

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Lacking the ability to alter foundational aspects, it's important to note that guardrails AI is not

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a silver bullet solution to all problems associated with llms.

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Gardell's AI should be viewed as a vital component of a comprehensive toolkit aimed at mitigating the

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risk associated with LLM usage.

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It's not a standalone solution, but a part of a multifaceted approach that includes human oversight,

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data integrity assessments, model adjustments, and adherence to regulatory standards to ensure the

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responsible and beneficial use of Llms.