Guardrails for LLMs: A Practical Approach // Shreya Rajpal // LLMs in Prod Conference Part 2

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// Abstract
There has been remarkable progress in harnessing the power of LLMs for complex applications. However, the development of LLMs poses several challenges, such as their inherent brittleness and the complexities of obtaining consistent and accurate outputs. In this presentation, we present Guardrails AI as a pioneering solution that empowers developers with a robust LLM development framework, enhanced control mechanisms, and improved model performance, fostering the creation of more effective and responsible applications.

// Bio
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We did a similar check with few lines of codes. But this is awesome. Exploring it now

avisankhadutta
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we got Function calling now, abit more structured output

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