我们将探索如何使用 NVIDIA NeMo Curator 集成 AI 防护 NIM 微服务,以构建护栏配置,确保您的 AI 代理能够实时识别和减轻不安全的交互。然后,我们将更进一步,将这些功能连接到适用于 AI 虚拟助理的 NVIDIA AI Blueprint 中概述的复杂代理工作流。最后,您将清楚地了解如何根据品牌的独特需求,打造可扩展且安全...
Install:pip install "guardrails-ai" Configure:guardrails configure Create a config:guardrails create --validators=hub://guardrails/two_words --name=two-word-guard Start the dev server:guardrails start --config=./config.py Interact with the dev server via the snippets below ...
Adding guardrails to large language models. Contribute to guardrails-ai/guardrails development by creating an account on GitHub.
capabilities and roles.Upskill a new generation of practitioners who are accountable for the models’ outcomes and for ensuring AI transparency, governance, and fairness—by, for example, embedding documentation, accountability, and compliance processes into organizations’ ways of working with AI-based...
To learn more about this API, refer to theAPI reference. Here is the link to the API documentation forPython,Go, andJavaSDKs. Happy building! AIgenerative AI Published at DZone with permission ofAbhishek Gupta, DZone MVB.See the original article here. ...
NeMo Guardrails integrates withGot It AI’s Hallucination Managerfor hallucination detection in RAG systems. To integrate the TruthChecker API with NeMo Guardrails, theGOTITAI_API_KEYenvironment variable needs to be set. Example usage rails:output:flows:-gotitai rag truthcheck ...
software suite on your desired environment, such as a virtual machine or container, andthenuse the NVIDIA AI Enterprise console to manage and monitor your AI workloads. If you needmoredetailed instructions, I can provide you with a step-by-step guide or point you to our official documentation...
In ourrecent webinar “Enterprise-Grade AI Guardrails”, we covered important terminology in the generative AI landscape, trends in enterprise generative AI, some real word applications, and best practices supported by Acrolinx. This blog summarizes the key points in the webinar that we feel are im...
Security Risks and Responsible AI Ezequiel Lanza:That's a great explanation. I do want to go a bit deeper because every time we are talking about guardrails, or how to control LLMs, how they behave, or the answers that we get from the LLMs, I wonder if you can explain a bit more ...
There are many ways guardrails can be added to an LLM-based conversational application. For example: explicit moderation endpoints (e.g., OpenAI, ActiveFence), critique chains (e.g. constitutional chain), parsing the output (e.g. guardrails.ai), individual guardrails (e.g., LLM-Guard), ha...