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A behind-the-scenes look at how we match Dashers with orders At DoorDash, we constantly look for ways to improve the customer experience. One of the most critical aspects of the customer experience is the speed of delivery. We want to ensure our customers get their food as quickly as possible. […]
Generative AI is a subset of Artificial Intelligence that can create novel content based on existing data. It has been making waves in various fields, such as language processing, image and video generation, and content creation. But how can Generative AI be applied to food delivery? And what are the […]
Coca-Cola has announced that it will work with OpenAI to explore using artificial intelligence (AI) in marketing. The drinks giant has identified several potential marketing use cases for OpenAI’s technology, which includes generative AI models that can produce original content such as images and text. The company will work with […]
The software stalwart’s significant investment in AI could make it cutting-edge again. In recent news, Microsoft and OpenAI announced a $10 billion investment from Microsoft into OpenAI. This investment is on top of the $3 billion that Microsoft has given to OpenAI since 2019. The acquisition is significant because OpenAI […]
What is GitHub Copilot, and how can it be used effectively and responsibly? GitHub Copilot boosts developer productivity, but using it responsibly still requires good developer and DevSecOps practices. GitHub Copilot is an AI pair programmer that uses OpenAI Codex to suggest code and even entire functions in real-time as […]
DoorDash’s prediction service, Sibyl, was created to handle real-time predictions in their machine learning infrastructure. Sibyl retrieves both models and features from independent stores to make predictions. The prediction service allows batch and shadow predictions to test multiple models on the same data in the background. Sibyl was built to […]
Rectified Linear Unit (ReLU) is a commonly used activation function in artificial neural networks. An activation function is a mathematical function that is applied to the output of a neuron in a neural network to determine whether the neuron should be activated or not. ReLU is defined as follows: f(x) […]
The sigmoid function is a mathematical function that takes in any input, a, and returns a value between 0 and 1. It is defined as: sigmoid(a) = 1 / (1 + e^(-a)) where e is the base of the natural logarithm. The sigmoid function has a “S” shaped curve, and […]
