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Speculative decoding made my local LLM actually usable

Local LLMs have this annoying middle ground problem. They're good enough that you can see the potential, but just slow enough to get in the way. You really feel the ...
Search Engine Land

Decoding LLMs: How to be visible in generative AI search results

Understand how AI Overviews, ChatGPT, Perplexity and more select their sources and ways to position your brand as a trusted reference. A new buzzword is making waves in the tech world, and it goes by ...
EurekAlert!

SPECTRA: Towards a new framework that accelerates large language model inference

This figure shows an overview of SPECTRA and compares its functionality with other training-free state-of-the-art approaches across a range of applications. SPECTRA comprises two main modules, namely ...
Ars Technica

Google’s Gemma 4 AI models get 3x speed boost by predicting future tokens

Google launched its Gemma 4 open models this spring, promising a new level of power and performance for local AI. Google’s take on edge AI could be getting even faster already with the release of ...
VentureBeat

Researchers baked 3x inference speedups directly into LLM weights — without speculative decoding

As agentic AI workflows multiply the cost and latency of long reasoning chains, a team from the University of Maryland, Lawrence Livermore National Labs, Columbia University and TogetherAI has found a ...