How It's Made
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 a previous post. In our last week announcement, we unveiled Griffin 2.0, our advanced ML Platform, shedding light on the transition from Griffin 1.0 to 2.0 for a more cohesive user experience,…...
Nov 22, 2023
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
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
How It's Made
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
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
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
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
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
How It's Made
Supercharging ML/AI Foundations at Instacart
By Haixun Wang and Jagannath Putrevu Machine Learning (ML) is one of the most impactful technology levers we have at Instacart to make our services better and help our customers, shoppers, retailers, and brand partners.…...
Aug 15, 2023
How It's Made
Zero-Downtime PostgreSQL Cutovers
Authors: Brad Nicholson, Andrew Tanner, Marco Montagna Instacart runs one of the largest PostgreSQL fleets on top of AWS RDS, and part of managing a fleet like this is to keep it up to date.…...
Jul 17, 2023