Published : Apr 03, 2024
NOT ON THE CURRENT EDITION
This blip is not on the current edition of the Radar. If it was on one of the last few editions, it is likely that it is still relevant. If the blip is older, it might no longer be relevant and our assessment might be different today. Unfortunately, we simply don't have the bandwidth to continuously review blips from previous editions of the Radar.
Understand more
Apr 2024
Assess
is an easy-to-use open-source toolkit from NVIDIA that empowers developers to implement guardrails for large language models (LLMs) used in conversational applications. Although LLMs hold immense potential in building interactive experiences, their inherent limitations around factual accuracy, bias and potential misuse necessitate safeguards. Guardrails offer a promising approach to ensure responsible and trustworthy LLMs. Although you have a choice when it comes to LLM guardrails, our teams have found NeMo Guardrails particularly useful because it supports programmable rules and run-time integration and can be applied to existing LLM applications without extensive code modifications.
