Deploying an LLM ChatBot Augmented with Enterprise Data

neub9
By neub9
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Embracing Large Language Models for Enterprise Use Cases

Posted in Technical | August 28, 2023 | 5 min read

The release of ChatGPT has propelled interest in Large Language Model (LLM) based use cases to new heights. Every company is now looking to leverage LLM technology to improve internal operations and user interactions. At Cloudera, we have been working with our customers to help them benefit from this wave of innovation. In this series, we will address the challenges of enterprise adoption and the path to embrace LLM technologies in a safe and controlled manner.

The Challenges of Enterprise Adoption

Powerful LLMs can provide a wide range of information, but enterprises have specific needs that must be met. These include privacy concerns, data integrity, and transparency in model training and bias mitigation. The good news is that all enterprise requirements can be achieved with the power of open source. In our newest Applied Machine Learning Prototype (AMP), “LLM Chatbot Augmented with Enterprise Data,” we demonstrate how to augment a chatbot application with an enterprise knowledge base to be context aware, all using open source technology.

LLM AMP Implementation

LLM AMPs are pre-built end-to-end ML projects specifically designed to kickstart enterprise use cases. In Cloudera Machine Learning (CML), you can select and deploy a complete ML project from the AMP catalog with a single click. Even if you don’t have access to CML, the AMP is open source and available on GitHub. The AMP executes a series of steps to configure and provision everything to complete the end-to-end use case.

  1. Compute Resource Checks
  2. Project Setup
  3. Dependency Installs
  4. Model Downloads
  5. ETL Process
  6. Enterprise Knowledge Base Population
  7. User-Facing Chatbot Application Deployment

Ready to deploy the LLM AMP chatbot and enhance your user experience? Head to Cloudera Machine Learning (CML) and access the AMP catalog. Don’t have access to CML? No worries! The AMP is open-source and available on GitHub. Visit the GitHub repository here.

If you want to learn more about the AI solutions that Cloudera is delivering to our customers, come check out our Enterprise AI page. In the next article, we’ll delve into the art of customizing the LLM AMP to suit your organization’s specific needs. Stay tuned for practical insights, step-by-step guidance, and real-world examples to empower your AI use cases.


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