Deep Learning with Yacine on MSN

Deep Learning Optimizers Explained Simply: What They Are and How They Work

Discover the role of optimizers in deep learning! Learn how algorithms like SGD, Adam, and RMSprop help neural networks train ...
NatureOpinion

‘It keeps me awake at night’: machine-learning pioneer on AI’s threat to humanity

Yoshua Bengio talks about his efforts to identify — and address — the risks posed by AI.

Is the AI Bubble Real, or Is Relentless Learning Quietly Winning Today?

Is the AI bubble bursting or just noise? Explore continual learning, nested learning, and introspection, plus fixes for ...
InfoWorld

Meta’s SPICE framework pushes AI toward self-learning without human supervision

The new reinforcement learning system lets large language models challenge and improve themselves using real-world data ...
Que.com on MSN

Enhancing Deep Neural Networks with Architectural Optimization Techniques

In the ever-evolving world of artificial intelligence, deep neural networks (DNNs) have revolutionized data processing, offering unparalleled accuracy across various ...

Advancing AI By Nesting Minds Inside The Layers Of Machine Learning And LLMs

Prevailing AI architectures are not moving the needle. We need new ideas. Google Research proposes NL (nested learning). Here ...

Using Knowledge Elicitation Techniques To Infuse Deep Expertise And Best Practices Into Generative AI

How can we get AI and LLMs to be domain experts? The prior era of AI devised knowledge elicitation techniques. Those are ...