Moonshot AI’s Kimi K2.5 Reddit AMA revealed why the powerful open-weight model is hard to run, plus new details on agent ...
Google DeepMind researchers have introduced ATLAS, a set of scaling laws for multilingual language models that formalize how model size, training data volume, and language mixtures interact as the ...
Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...
UC Berkeley launched the Women’s Health and Performance Initiative on Dec. 5 to reduce gender disparities in health and performance research. The initiative aims to close the health disparity gap ...
Amazon announced a new product Tuesday called “AI Factories” that allows big corporations and governments to run its AI systems in their own data centers. Or as AWS puts it: Customers supply the power ...
Anthropic: China-Based Hackers Used Claude to Automate Global Cyberattack Your email has been sent Anthropic has revealed what it calls a significant turning point in cyberwarfare: a global espionage ...
Monoclonal antibody (mAb) manufacturing must continually improve to keep up with increasing demands. To do this, biomanufacturers can deploy machine learning tools to augment traditional process ...
AI Steam updates AI disclosure form to specify that it's focused on AI-generated content that is 'consumed by players,' not efficiency tools used behind the scenes AI Stellar Blade's director says AI ...
In this tutorial, we explore LitServe, a lightweight and powerful serving framework that allows us to deploy machine learning models as APIs with minimal effort. We build and test multiple endpoints ...
A simple Flask application that can serve predictions machine learning model. Reads a pickled sklearn model into memory when the Flask app is started and returns predictions through the /predict ...
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