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Researchers at ServiceNow Propose a Machine Learning Approach to Deploy a Retrieval Augmented LLM to Reduce Hallucination and Allow Generalization in a Structured Output Task

 Researchers at ServiceNow Propose a Machine Learning Approach to Deploy a Retrieval Augmented LLM to Reduce Hallucination and Allow Generalization in a Structured Output Task

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Practical AI Solutions for Enterprise

Reducing Hallucinations and Enhancing Workflows with AI

Large Language Models (LLMs) have made it economically feasible to perform tasks like converting natural language into code or workflows, increasing worker productivity. However, Generative Artificial Intelligence (GenAI) may produce false outputs, known as hallucinations, limiting its real-world applicability.

To address this, a team of researchers from ServiceNow has developed a system using Retrieval-Augmented Generation (RAG) to improve the quality of structured outputs produced by GenAI systems. By integrating RAG, the team significantly reduced hallucinations and enhanced the dependability and usefulness of the workflows produced.

The team also demonstrated that using a smaller, well-trained retriever in conjunction with the LLM, made possible by RAG, reduces resource needs and improves deployment efficiency of workflow generation LLM-based systems.

This approach represents a significant advancement in resolving GenAI’s hallucination constraint, providing a reliable and effective method for creating workflows from natural language requirements. It opens the door for wider use of GenAI systems in enterprise settings.

For more information, check out the research paper.

Evolve Your Company with AI

If you want to evolve your company with AI, stay competitive, and use AI to your advantage, consider implementing the proposed machine learning approach by the researchers at ServiceNow. Discover how AI can redefine your way of work by identifying automation opportunities, defining KPIs, selecting AI solutions, and implementing gradually.

For AI KPI management advice and continuous insights into leveraging AI, connect with us at hello@itinai.com. Stay tuned for updates on our Telegram channel or follow us on Twitter.

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Vladimir Dyachkov, Ph.D
Editor-in-Chief itinai.com

I believe that AI is only as powerful as the human insight guiding it.

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