XDA Developers on MSN

Gemma 4 E4B is small enough to run anywhere, but powerful enough to handle typical LLM workloads

It tackles my productivity tasks better than I expected ...
TechCrunch

The only AI glossary you’ll need this year

Artificial intelligence is rewriting the world and simultaneously inventing a whole new language to describe how it’s doing it. Sit in on any product meeting, pitch, or panel these days, and you’ll ...
XDA Developers on MSN

I tested Google's new Gemma 4 12B on my 8GB GPU, and now I don't want to go back to smaller models

Not bad for limited hardware ...
VentureBeat

Google's new open source Gemma 4 12B analyzes audio, video — and runs entirely locally on a typical 16GB enterprise laptop

Credit: VentureBeat made with OpenAI ChatGPT-Images-2.0 While many AI open source model providers are pursuing larger and more powerful models, Google is still giving attention to the smaller, more ...
Ars Technica

Google’s new Gemma 4 12B model is designed to run on any laptop with 16GB of RAM

The generative AI boom has driven the cost of memory into the stratosphere, and Google is a key part of that trend. So it’s only fitting that Google should offer some less RAM-hungry local AI models.
Geeky Gadgets

Why Prompt Caching is the Secret to Slashing Your AI Costs By 90%

Prompt caching has become a vital strategy for managing the rising costs of large language model (LLM) operations. By reusing previously computed data, this approach minimizes redundant computations, ...
GSM Arena

MediaTek unveils Dimensity 8550 with LLM Booster and support for Gemini Nano V3

Earlier this year, MediaTek unveiled the Dimensity 8500, a 4nm (TSMC N4P) chipset with all-big CPU cores (eight Cortex-A725) and a Mali-G720 MC8 GPU. Now the company is refreshing that chip as the ...
Semiconductor Engineering

Vision-Language-Action Models Arrive

The AI model type capturing the most attention across robotics and autonomous vehicles right now is the vision-language-action model, or VLA. At embedded AI conferences this year, particularly the ...
IEEE

ECM: Enhancing Compressibility of Quantized Vision Encoder and LLM for Large Vision-Language Models

Abstract: Quantizing the large language model (LLM) in vision-language models (VLMs) is an effective approach to reducing memory size. However, quantizing only the LLM shifts the memory bottleneck to ...
Semiconductor Engineering

Microarchitecture Tailored to 3D-Stacked Near-Memory Processing LLM Decoding (U. of Edinburgh, Peking U., Cambridge et al.)

A new technical paper, “Rethinking Compute Substrates for 3D-Stacked Near-Memory LLM Decoding: Microarchitecture-Scheduling Co-Design,” was published by researchers at University of Edinburgh, Peking ...