One Model to Serve Them All: How Instacart deployed a single Deep Learning pCTR model for multiple surfaces with improved operations and performance along the way

How It's Made

One Model to Serve Them All: How Instacart deployed a single Deep Learning pCTR model for multiple surfaces with improved operations and performance along the way

Authors: Cheng Jia, Peng Qi, Joseph Haraldson, Adway Dhillon, Qiao Jiang, Sharath Rao Introduction Instacart Ads and Ranking Models At Instacart Ads, our focus lies in delivering the utmost relevance in advertisements to our customers, facilitating novel product discovery and enhancing…...

Dec 19, 2023
Read time: 13min
Monte Carlo, Puppetry and Laughter: The Unexpected Joys of Prompt Engineering

How It's Made

Monte Carlo, Puppetry and Laughter: The Unexpected Joys of Prompt Engineering

Author: Ben Bader The universe of the current Large Language Models (LLMs) engineering is electrifying, to say the least. The industry has been on fire with change since the launch of ChatGPT in November of…...

Dec 19, 2023
Read time: 16min
Unveiling the Core of Instacart’s Griffin 2.0: A Deep Dive into the Machine Learning Training Platform

How It's Made

Unveiling the Core of Instacart’s Griffin 2.0: A Deep Dive into the Machine Learning Training Platform

Authors: Han Li, Sahil Khanna, Jocelyn De La Rosa, Moping Dou, Sharad Gupta, Chenyang Yu and Rajpal Paryani Background About a year ago, we introduced the first version of Griffin, Instacart’s first ML Platform, detailing its development and support for end-to-end ML in…...

Nov 22, 2023
Read time: 9min
Introducing Griffin 2.0: Instacart’s Next-Gen ML Platform

How It's Made

Introducing Griffin 2.0: Instacart’s Next-Gen ML Platform

Authors: Rajpal Paryani, Han Li, Sahil Khanna, Walter Tuholski Background Griffin is Instacart’s Machine Learning (ML) platform, designed to enhance and standardize the process of developing and deploying ML applications. It significantly accelerated ML adoption at Instacart by tripling…...

Nov 22, 2023
Read time: 9min
The Economics Team at Instacart

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The Economics Team at Instacart

Tilman Drerup, Levi Boxell, and Robert Fletcher Tech firms are increasingly choosing to hire graduates from PhD programs in economics [1, 2, 3]. In this blog post, we present the economics team at Instacart and our take…...

Nov 22, 2023
Read time: 7min
Scaling Productivity with Ava — Instacart’s Internal AI Assistant

How It's Made

Scaling Productivity with Ava — Instacart’s Internal AI Assistant

By Zain Adil, Kevin Lei and Ada Cohen Over the past few months, we’ve been building an internal AI assistant powered by OpenAI’s GPT-4 and GPT-3.5 models called Ava. Ava has seen accelerated adoption at…...

Sep 7, 2023
Read time: 6min
Instacart’s Item Availability Architecture: Solving for scale and consistency

How It's Made

Instacart’s Item Availability Architecture: Solving for scale and consistency

By Michael Prescott This blog post is the last segment in a three-part series that outlines our innovative approach to overcoming inventory challenges, delving into the application of product design, machine learning, and engineering technology.…...

Sep 6, 2023
Read time: 9min
Adopting dbt as the Data Transformation Tool at Instacart

How It's Made

Adopting dbt as the Data Transformation Tool at Instacart

By James Zheng At Instacart, datasets are transformed for use in analytics, experimentation, machine learning, and retailer reporting. We use these datasets to make key business decisions that provide better experiences for our customers and…...

Aug 17, 2023
Read time: 14min
The Next Era of Data at Instacart

How It's Made

The Next Era of Data at Instacart

By Nate Kupp Data is an integral part of how we do business at Instacart: for informing decisions, providing insights into how our users interact with the product, supporting ML/AI use, and much more. Over…...

Aug 16, 2023
Read time: 9min
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