Open source Mamba 3 arrives to surpass Transformer architecture with nearly 4% improved language modeling, reduced latency

This release is good for developers building long-context applications, real-time reasoning agents, or those seeking to ...
i-SCOOP

Mamba 3, a state space model and an alternative to transformers

Mamba 3 is a state space model built for fast inference. Learn what it is, how it works, why it challenges transformers, and ...
Android Police

Transformers: Everything you need to know about the deep learning model

Ben Khalesi writes about where artificial intelligence, consumer tech, and everyday technology intersect for Android Police. With a background in AI and Data Science, he’s great at turning geek speak ...
InfoWorld

Large language models: The foundations of generative AI

Large language models evolved alongside deep-learning neural networks and are critical to generative AI. Here's a first look, including the top LLMs and what they're used for today. Large language ...
Hosted on MSN

Scalable transformer accelerator enables on-device execution of large language models

Large language models (LLMs) like BERT and GPT are driving major advances in artificial intelligence, but their size and complexity typically require powerful servers and cloud infrastructure. Running ...
Computer Weekly

Pathway builds truly native reasoning model to solve LLM Sudoku stumbling blocks

First set out in a scientific paper last September, Pathway’s post-transformer architecture, BDH (Dragon hatchling), gives LLMs native reasoning powers with intrinsic memory mechanisms that support ...
Quanta Magazine

To Make Language Models Work Better, Researchers Sidestep Language

Language isn’t always necessary. While it certainly helps in getting across certain ideas, some neuroscientists have argued that many forms of human thought and reasoning don’t require the medium of ...
CU Boulder News & Events

Building a Vision Transformer Model From Scratch

The self-attention-based transformer model was first introduced by Vaswani et al. in their paper Attention Is All You Need in 2017 and has been widely used in natural language processing. A ...