Transformers use attention and Mixture-of-Experts to scale computation, but they still lack a native way to perform knowledge lookup. They re-compute the same local ...

Anthropic has released Cowork, a new feature that runs agentic workflows on local files for non coding tasks currently available in research preview inside... Can AI shopping agents move beyond ...

How far can a mid sized language model go if the real innovation moves from the backbone into the agent scaffold and tool stack?

This tutorial will walk you through using PyTorch to implement a Neural Collaborative Filtering (NCF) recommendation system. NCF extends traditional matrix factorisation by using neural networks to ...

What is a weight sparse transformer? The models are GPT-2 style decoder only transformers trained on Python code. Sparsity is not added after training, it is enforced during optimization. After each ...

Feedforward neural networks are also known as Multi-layered Network of Neurons (MLN). These network of models are called feedforward because the information only travels forward in the neural network, ...

Converting complex documents into structured data has long posed significant challenges in the field of computer science. Traditional approaches, involving ensemble systems or very large foundational ...

Google AI Research and DeepMind have released VaultGemma 1B, the largest open-weight large language model trained entirely with differential privacy (DP). This development is a major step toward ...

The artificial intelligence (AI) landscape is evolving rapidly, but this growth is accompanied by significant challenges. High costs of developing and deploying large-scale AI models and the ...

MLE-STAR (Machine Learning Engineering via Search and Targeted Refinement) is a state-of-the-art agent system developed by Google Cloud researchers to automate complex machine learning ML pipeline ...