TL;DR:
- NVIDIA has released NeMo Guardrails, a software designed to guide generative AI applications and keep them accurate, appropriate, and secure.
- NeMo Guardrails provides businesses with tools to add safety to AI apps that generate text and work with all large language models (LLMs).
- Developers can set up topical, safety, and security guardrails to keep AI-powered applications within desired boundaries.
- NeMo Guardrails is open-source and works with popular tools such as LangChain, and is compatible with LLM-enabled applications like Zapier.
- NeMo Guardrails is part of the NVIDIA NeMo framework, which is available as open-source code, a complete and supported package, or as a service through NVIDIA AI Foundations.
- Building good guardrails for generative AI is a long-term effort, and NVIDIA has made NeMo Guardrails open-source to contribute to the development community’s efforts in ensuring the safety, privacy, and security of AI applications.
Main AI News:
In the fast-growing world of artificial intelligence, ensuring the safety and accuracy of AI-powered applications is of utmost importance. NVIDIA has answered this call with the release of NeMo Guardrails, a cutting-edge software designed to guide generative AI applications and keep them on track.
This open-source software provides businesses with all the tools and resources they need to add safety to AI apps that generate text. NeMo Guardrails is compatible with all large language models (LLMs) and is designed to help users keep this new class of AI-powered applications accurate, appropriate, and secure.
Developers can quickly and easily set up three types of boundaries with NeMo Guardrails: topical guardrails to prevent apps from veering into undesired areas, safety guardrails to ensure accurate and appropriate responses, and security guardrails to restrict connections to only safe external third-party applications. The software is easy to use, even for developers who are not machine learning experts or data scientists.
NeMo Guardrails is open-source, making it compatible with all the tools that enterprise app developers use, such as LangChain, an open-source toolkit rapidly gaining popularity among developers. In addition, NeMo Guardrails can work with a broad range of LLM-enabled applications, including Zapier, an automation platform used by over 2 million businesses.
As part of the NVIDIA NeMo framework, NeMo Guardrails is available as open-source code on GitHub, as a complete and supported package, or as a service through NVIDIA AI Foundations, a family of cloud services for businesses. The framework has already been used by a leading mobile operator in South Korea to build an intelligent assistant and by a research team in Sweden to automate text functions for hospitals, government offices, and businesses.
Building good guardrails for generative AI is a long-term and ongoing effort. NVIDIA has made NeMo Guardrails open-source to contribute to the development community’s efforts in ensuring the safety, privacy, and security of AI applications. With NeMo Guardrails, businesses can confidently integrate AI into their operations and keep their smart services aligned with their requirements.
Conlcusion:
The release of NeMo Guardrails by NVIDIA represents a major step forward in ensuring the safety and accuracy of AI-powered applications. The software’s compatibility with all large language models and its ability to work with popular tools, such as LangChain, make it an attractive solution for businesses looking to integrate AI into their operations. The fact that NeMo Guardrails is part of the NVIDIA NeMo framework, which is available as open-source code, a complete and supported package, or as a service, makes it a flexible and accessible solution for businesses of all sizes.
This development is likely to have a significant impact on the market for AI-powered applications, as it provides businesses with the tools and resources they need to ensure the safety and accuracy of these applications. As AI continues to grow in importance and become increasingly integrated into business operations, the demand for solutions like NeMo Guardrails is only set to increase. In the coming years, we can expect to see further advancements in the field of AI safety as the development community continues to focus on ensuring the safe and responsible deployment of AI applications.
