The practical impact of large language models (LLMs) is growing by the day. Within the retail industry, practical applications for innovations such as ChatGPT and Dolly are widespread — including the rapid search of large product catalogs, streamlining customer service with intelligent chatbots, analyzing customer data and sentiments for personalization, and more — all with the goal of increasing customer satisfaction, loyalty and sales.
The fuel that makes an LLM run effectively is high-quality data, and lots of it. Databricks Lakehouse for Retail provides the underlying architecture and tooling to harness your customer and operational data to easily deliver LLM-powered applications to your entire organization.
Join this workshop to learn how to implement LLM-enabled solutions to:
- Enhance product and content search to enable users to locate items with inexact terms
- Redact sensitive information as part of an unstructured information management strategy
- Streamline the analysis of customer feedback by automating product review summarization at scale
- Enable call center personnel with Q&A applications that allow them to more accurately respond to customer requests