Machine Learning
Weights & Biases with Chris Van Pelt
Machine learning model research requires running expensive, long-running experiments where even a slight mis-calibration can cost millions of dollars in underutilized compute resources.
De-scoping Your AWS Services from Data Residency Requirements
From the widely recognized GDPR in Europe to Brazil’s LGPD regulations, and the more recent introduction of India’s DPDP law, over 100 countries now have some form of privacy
Hugging Face with Sayak Paul
Hugging Face was founded in 2016 and has grown to become one of the most prominent ML platforms. It’s commonly used to develop and disseminate state-of-the-art ML models and is a
The Data Cloud’s Cheese and Diamond Problem
In any given week, if you search the news for “data breach”, you’ll see headlines like the ones below. Companies like MGM and Caesars spend millions of dollars on firewalls,
Building a Privacy-Preserving LLM-Based Chatbot
As Large Language Models (LLMs) and generative AI continue to grow more sophisticated and available, many organizations are starting to build, fine-tune, and customize LLMs based on
