![]() ![]() “Users can easily add NeMo Guardrails to LangChain workflows to quickly put safe boundaries around their AI-powered apps,” said Harrison Chase, who created the LangChain toolkit and a startup that bears its name. Since NeMo Guardrails is open source, it can work with all the tools that enterprise app developers use.įor example, it can run on top of LangChain, an open-source toolkit that developers are rapidly adopting to plug third-party applications into the power of LLMs. They can create new rules quickly with a few lines of code. Virtually every software developer can use NeMo Guardrails - no need to be a machine learning expert or data scientist. Security guardrails restrict apps to making connections only to external third-party applications known to be safe.They can filter out unwanted language and enforce that references are made only to credible sources. Safety guardrails ensure apps respond with accurate, appropriate information.For example, they keep customer service assistants from answering questions about the weather. Topical guardrails prevent apps from veering off into undesired areas.NeMo Guardrails enables developers to set up three kinds of boundaries: The software lets developers align LLM-powered apps so they’re safe and stay within the domains of a company’s expertise. NVIDIA designed NeMo Guardrails to work with all LLMs, such as OpenAI’s ChatGPT. Safety in generative AI is an industry-wide concern. NeMo Guardrails is designed to help users keep this new class of AI-powered applications safe. ![]() They’re answering customers’ questions, summarizing lengthy documents, even writing software and accelerating drug design. Today’s release comes as many industries are adopting LLMs, the powerful engines behind these AI apps. The software includes all the code, examples and documentation businesses need to add safety to AI apps that generate text. NeMo Guardrails will help ensure smart applications powered by large language models (LLMs) are accurate, appropriate, on topic and secure. Newly released open-source software can help developers guide generative AI applications to create impressive text responses that stay on track.
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