Solution Accelerator
Enhancing Product Search With Large Language Models (LLMs)
Pre-built code, sample data and step-by-step instructions ready to go in a Databricks Notebook
Helping customers find the products they need
When customers can’t easily find what they’re looking for, they’re more likely to become frustrated and switch to competitors, leading to lost sales. Through the use of text generation capabilities of large language models (LLMs), retailers can analyze product descriptions and user prompts to provide relevant results — increasing customer satisfaction and the likelihood of successful purchases.
With this Solution Accelerator, organizations can:
- Unify product, query and label data within a retailer’s product catalog
- Enable rapid search with analytics against numerical arrays
- Train and deploy an LLM model with Databricks Model Serving
Resources
Blog
Enhancing Product Search With Large Language Models (LLMs)
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