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ChatGPT has surged in popularity over a few months, and usage of this software has been regarded as one of the fastest-growing apps ever. Based on a Large Language Model (LLM) called GPT-3.5/4, ChatGPT uses user input to form answers based on its extensive database used in the training process. Having billions of parameters, the GPT models used for GPT can give precise answers; however, sometimes, these models hallucinate. Given a question about a non-existing topic/subject, ChatGPT can induce hallucination and make up the information. To prevent these hallucinations, NVIDIA, the maker of GPUs used for training and inferencing LLMs, has released a software library to put AI in place, called NeMo Guardrails.
As the NVIDIA repository states: "NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems. Guardrails (or "rails" for short) are specific ways of controlling the output of a large language model, such as not talking about politics, responding in a particular way to specific user requests, following a predefined dialog path, using a particular language style, extracting structured data, and more." These guardrails are easily programmable and can stop LLMs from outputting unwanted content. For a company that invests heavily in the hardware and software landscape, this launch is a logical decision to keep the lead in setting the infrastructure for future LLM-based applications.
View at TechPowerUp Main Site | Source
As the NVIDIA repository states: "NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems. Guardrails (or "rails" for short) are specific ways of controlling the output of a large language model, such as not talking about politics, responding in a particular way to specific user requests, following a predefined dialog path, using a particular language style, extracting structured data, and more." These guardrails are easily programmable and can stop LLMs from outputting unwanted content. For a company that invests heavily in the hardware and software landscape, this launch is a logical decision to keep the lead in setting the infrastructure for future LLM-based applications.
View at TechPowerUp Main Site | Source