Solution Accelerator
Automating Product Review Summarization With LLMs
Pre-built code, sample data and step-by-step instructions ready to go in a Databricks Notebook
Keep track of customer feedback at scale
The breadth of digital communication channels has made it increasingly effortless for customers to write product reviews that can significantly impact the perception of a business. With large language models (LLMs), retailers can easily extract and summarize insights from huge volumes of customer feedback to enhance decision-making and product development strategies.
Use this Solution Accelerator to streamline the summarization of customer feedback, allowing your organization to:
- Process a high volume of reviews at a lower cost
- Collect feedback from a wider range of products and summarize it regularly
- Task an LLM to extract different sets of information from each high-level category of reviews
Resources
Blog
Automated Analysis of Product Reviews Using LLMs
Keep track of customer feedback at scale
Blog
Retail in the Age of Generative AI
10 ways large language models (LLMs) may impact the retail industry
Blog
Fine-Tuning Large Language Models with Hugging Face and DeepSpeed
Easily apply and customize large language models of billions of parameters