Encoder-Free AI explained: The architecture behind Google’s Gemma 4 12B

A vast majority of multi-modal AI systems function as a relay race. For example, an image will come in through the Vision ...
VentureBeat

New transformer architecture can make language models faster and resource-efficient

Large language models like ChatGPT and Llama-2 are notorious for their extensive memory and computational demands, making them costly to run. Trimming even a small fraction of their size can lead to ...
Android Police

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

I’ve been covering Android since 2023, when I joined Android Police, mostly focusing on AI and everything around Pixel and Galaxy phones. I’ve got a bachelor’s in IT with a major in AI, so I naturally ...
Hosted on MSN

What is a transformer in artificial intelligence, and why is it the base of most modern AI models?

Transformer in artificial intelligence has become the core technology behind most modern AI systems. Since the breakthrough 2017 research paper “Attention Is All You Need” by scientists at Google, the ...
SiliconANGLE

Nvidia, AMD back $56.5M round for Essential AI Labs, led by Transformer architecture co-inventors

Essential AI Labs Inc., a startup led by two co-inventors of the foundational Transformer neural network architecture, today announced that it has raised $56.5 million from a group of prominent ...
Semiconductor Engineering

NPU Acceleration For Multimodal LLMs

Transformer-based models have rapidly spread from text to speech, vision, and other modalities. This has created challenges for the development of Neural Processing Units (NPUs). NPUs must now ...