Google’s ‘Nested Learning’ paradigm could solve AI's memory and continual learning problem

Inspired by how the human brain consolidates memory, the 'Nested Learning' framework allows different parts of a model to ...
Network World

What are TPUs? Your guide to tensor processing units and AI acceleration

This guide shows how TPUs crush performance bottlenecks, reduce training time, and offer immense scalability via Google Cloud ...

Google’s new AI training method helps small models tackle complex reasoning

Google's SRL framework provides a step-by-step "curriculum" that makes LLMs more reliable for complex reasoning tasks.
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How Federated Learning Helps Agencies Build Smarter AI Models Securely

Federated learning makes it possible for agency employees to collaborate on advanced artificial intelligence models without compromising data control or operational security. The process serves as a ...
Forbes

20 Mistakes To Avoid When Developing Machine Learning Models

Machine learning models can be incredibly valuable tools for business leaders. They can aid in interpreting historic data, making decisions for future initiatives, helping to improve the customer ...
The Register on MSN

Anthropic reduces model misbehavior by endorsing cheating

By removing the stigma of reward hacking, AI models are less likely to generalize toward evil Sometimes bots, like kids, just ...
Geeky Gadgets

Machine Learning vs Deep Learning vs Foundation Models

If you are interested in learning more about artificial intelligence and specifically how different areas of AI relate to each other then this quick guide providing an overview of Machine Learning vs ...