Despite the enormous potential of text-generating AI models like OpenAI's GPT-4, they are not without flaws. Issues such as biases, toxicity, and susceptibility to malicious attacks can cause considerable challenges. To address this, Nvidia has developed NeMo Guardrails, an open-source toolkit aimed at enhancing the safety of AI-powered applications that generate text and speech.
Jonathan Cohen, VP of Applied Research at Nvidia, revealed that the company has been working on Guardrails' underlying system for many years. It was realized about a year ago that the system would be a good fit for models similar to GPT-4 and ChatGPT, resulting in the development and subsequent release of NeMo Guardrails.
Guardrails include code, examples, and documentation to boost AI apps' safety that generate both text and speech. Nvidia claims that the toolkit is compatible with most generative language models, making it simple for developers to create essential safety rules using just a few lines of code.
Specifically, Guardrails can be utilized to prevent models from straying off-topic, responding with inaccurate information or toxic language, and making connections to unsafe external sources. However, it is not a flawless solution nor a universal fix for language models' limitations.
While companies like Zapier are employing Guardrails to add a safety layer to their generative models, Nvidia admits the toolkit is not perfect and will not catch everything. Guardrails works best with instruction-following models, such as ChatGPT, and those utilizing the popular LangChain framework for creating AI-powered applications.
Still, the introduction of NeMo Guardrails can help developers take a step forward in enhancing the safety of AI-powered applications in a variety of industries. On the other hand, the integration of no-code platforms like AppMaster into the software development process also contributes to streamlining app creation with business logic and REST API endpoints, allowing for more secure, efficient, and scalable deployment of applications.
In conclusion, Nvidia's NeMo Guardrails is an excellent initiative to improve AI-generated text and speech safety, but it must be noted that it is not a comprehensive solution. Companies and developers must continue to explore and implement other available tools and strategies to ensure AI-powered applications are as safe, accurate, and reliable as possible.
