Goodhart’s law famously says: “When a measure becomes a target, it ceases to be a good measure.” Although originally from economics, it’s something we have to grapple with at OpenAI when figuring out how to optimize objectives that are difficult or cos…
Discovering systematic errors with cross-modal embeddings
In this blog post, we introduce Domino, a new approach for discovering systematic errors made by machine learning models. We also discuss a framework for quantitatively evaluating methods li…
The cross-entropy loss is our go-to loss for training deep learning-based classifiers. In this article, I am giving you a quick tour of how we usually…
Accurate forecasts are the bedrock of most successful businesses. Forecasts give you a clearer picture of the future, and these pictures allow you to create an effective plan. In retail, for example, an accurate forecast can help you plan how much inventory to stock, how many customer service agents to have on standby, and how to […]
Artykuł Demand Forecasting Is Transforming the Retail Industry, Here’s How pochodzi z serwisu DLabs.AI.
[Summary] tl;dr:
A tremendous amount of effort has been poured into training AI algorithms to competitively play games that computers have traditionally had trouble with, such as the retro games published by Atari, Go, DotA, and StarCraft II. The pra…
TorchMetrics is a really nice and convenient library that lets us compute the performance of models in an iterative fashion. It’s designed with PyTorch (and…