ARTICLES

Enabling AI Regulation Compliance for Enterprises

Enabling AI Regulation Compliance for Enterprises

Learn about new government regulations for safer, more trustworthy AI products – and how we're addressing them As generative AI continues to make headlines, international efforts are underway to both harness the promise and address the risks of artificial...

Saving and Restoring Machine Learning Models with W&B

Saving and Restoring Machine Learning Models with W&B

Introduction In this notebook, we'll look at how to save and restore your machine learning models with Weights & Biases. W&B lets you save everything you need to reproduce your models - weights, architecture, predictions, and code to a safe place. This is...

Olivio Sarikas – How AI Will Redefine Culture and Entertainment

Olivio Sarikas – How AI Will Redefine Culture and Entertainment

Podcaster and Vlogger Olivio Sarakis delivers a terrific talk on how AI will transform culture and entertainment.  A dash of art history, a touch of diffusion models and a bit of philsophy make for one of the more unique and intriguing talk at our LLMs and the...

AI Quality Management: Key Processes and Tools, Part 2

AI Quality Management: Key Processes and Tools, Part 2

Achieving high AI Quality requires the right combination of people, processes, and tools. In the last blog post, we introduced the processes and tools for driving AI Quality in the early stages of model development – data quality assessment, feature development, and...

Choosing the Right Infrastructure for Production ML

Choosing the Right Infrastructure for Production ML

Choosing the right infrastructure for your production ML can impact the performance, scalability, cost, and security of models. When it comes to deploying machine learning models in production, choosing the right infrastructure is crucial for ensuring the success of...

Feature Engineering for Recommendation Systems – Part 1

Feature Engineering for Recommendation Systems – Part 1

The way ML features are typically written for NLP, vision, and some other domains is very different from the way they are written for recommendation systems. In this series, we’ll examine the most common ways of engineering features for recommendation systems. In the...

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