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Solution Accelerator

Building a Chatbot With Large Language Models (LLMs)

Pre-built code, sample data and step-by-step instructions ready to go in a Databricks Notebook

Building a Chatbot with Large Language Models (LLMs)
Building a Chatbot with Large Language Models (LLMs)

Improve the speed and accuracy of customer service agents

Customer service agents often grapple with overwhelming volumes of inquiries and requests, which can increase the likelihood of errors or oversights and contribute to lower service quality and reduced overall customer satisfaction. With large language models (LLMs), retailers can quickly build an internal knowledge base to improve the consistency and expert-level assistance provided by human agents.

With this Databricks Solution Accelerator, organizations can:

  • Ingest content taken from an internal knowledge base
  • Combine a pretrained LLM with knowledge extracted from the same documents used to train human agents
  • Leverage LLMs to provide recommendations that address customer support questions
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Resources

Automating product review summarization with Large Language Models (LLMs)

Notebook

Driving a Large Language Model Revolution in Customer Service and Support

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Retail in the Age of Generative AI

Blog

Retail in the Age of Generative AI

10 ways large language models (LLMs) may impact the retail industry

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Fine-Tuning Large Language Models with Hugging Face and DeepSpeed

Blog

Fine-Tuning Large Language Models with Hugging Face and DeepSpeed

Easily apply and customize large language models of billions of parameters

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