ChatGPT has recently emerged as one of the most rapidly growing AI-powered apps, utilizing a sophisticated Large Language Model (LLM) known as GPT-3.5/4. With billions of parameters at its disposal, this LLM can provide highly precise answers to a wide variety of user queries. However, the GPT models used in ChatGPT, like other LLMs, can also generate “hallucinations” when presented with non-existent topics. To address this issue, NVIDIA, the prominent producer of GPUs utilized in LLM training and inferencing, has launched an open-source software library called NeMo Guardrails to ensure ethical AI output.
As per the NVIDIA repository, NeMo Guardrails provides an easy-to-use toolkit for implementing programmable guardrails in LLM-based conversational systems. Guardrails allow for specific controls over LLM output, such as avoiding the discussion of politics or responding in a particular manner to specific user requests. Guardrails can also enforce a specific language style, follow predefined dialog paths, or extract structured data from the generated output.
The release of NeMo Guardrails is a logical move by NVIDIA, considering the company’s significant investments in hardware and software infrastructures for LLM-based applications. The toolkit can ensure ethical and responsible usage of AI-based systems by preventing unwanted content generation or output straying from predefined dialog paths.
AI-powered applications have multiple benefits; however, their use raises concerns over user privacy and security. LLMs can provide highly precise answers based on vast amounts of data, potentially leading to user manipulation or misinformation. Guardrails implemented through NeMo Guardrails can prevent such potential issues and ensure trustworthy and reliable AI-based systems.
Bias in AI-generated output is another significant concern. LLMs may exhibit biased output if trained on biased data, leading to discrimination against specific user groups. NeMo Guardrails, with its guardrails that enforce fairness and equity, can address these issues and promote diversity and inclusion in LLM-based conversational systems.
In conclusion, the release of NeMo Guardrails by NVIDIA is a significant step towards ensuring responsible and ethical usage of AI-powered applications. By adding guardrails to LLM-based conversational systems, NVIDIA is preventing hallucination induction and restricting unwanted content output. As the use of AI-based applications continues to grow and integrate into daily life, the importance of guardrails will increase to ensure trustworthy, reliable, and fair AI-based systems.