How we built a measurement layer that tells us where, why, and how much to trust an agentic code reviewer, and why a single metric never could.
Category Archives: NLP
Using small language models to serve more relevant DoorDash search ads
When consumers search on DoorDash, they are usually trying to accomplish something quickly.
LLM-as-a-Judge: Evaluating natural language search
Traditional food delivery search matches keywords such as “pizza,” “sushi,” or restaurant name.
A scalable LLM approach to enhancing chatbot knowledge with user-generated content
DoorDash’s support chatbot handles a huge volume of questions from Dashers and customers every day.
Advancing Menu Content with AI: How DoorDash uses AI to generate menu descriptions
Our mission at DoorDash is to empower local businesses of all sizes to thrive and grow in the digital age.
How DoorDash leverages LLMs to evaluate search result pages
At DoorDash, delivering relevant and high-quality search results is essential to ensure that customers find what they’re looking for quickly and effortlessly.
How DoorDash leverages LLMs for better search retrieval
At DoorDash, users commonly conduct searches using precise queries that compound multiple requirements.
Unleashing the power of large language models at DoorDash for a seamless shopping adventure
Photo: Courtesy of The AI Conference
Imagine a bustling marketplace where consumers seamlessly connect with local merchants to get everything from groceries to gifts delivered to their doorsteps.
Path to high-quality LLM-based Dasher support automation
The independent contractors who do deliveries through DoorDash – “Dashers” – pick up orders from merchants and deliver them to customers.
Building DoorDash’s product knowledge graph with large language models
DoorDash’s retail catalog is a centralized dataset of essential product information for all products sold by new verticals merchants – merchants operating a business other than a restaurant, such as a grocery, a convenience store, or a liquor store.