Guardrails for LLMs: A Practical Approach

Explore a practical approach to implementing guardrails for Large Language Models (LLMs) in this 12-minute conference talk by Shreya Rajpal at the LLMs in Prod Conference Part 2. Delve into the challenges of LLM development, including brittleness and output inconsistencies, and discover how Guardrails AI offers a pioneering solution. Learn about this robust LLM development framework that provides enhanced control mechanisms and improved model performance. Gain insights from Shreya, the creator of Guardrails AI and a founding engineer at Predibase, as she shares her expertise in building more effective and responsible LLM applications. Understand the importance of establishing guardrails for LLMs and how this open-source solution can empower developers in creating advanced AI applications.

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