Freedom: The Rise Of The LLM-Agnostic, Token-Efficient Agentic System

Companies once measured AI by tokens burned. The real metric is whether your workflows survive when one lab pulls the model ...
9to5Mac

Apple taught an LLM to predict tokens up to 5x faster in math and coding tasks

A new research paper from Apple details a technique that speeds up large language model responses, while preserving output quality. Here are the details. Traditionally, LLMs generate text one token at ...
InfoWorld

33 LLM metrics to watch closely

Look to these key metrics and benchmarks to evaluate the performance, capability, reliability, and safety of your AI models ...
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 ...
Nature

Probabilistic medical predictions of large language models

Large Language Models (LLMs) have shown promise in clinical applications through prompt engineering, allowing flexible clinical predictions. However, they struggle to produce reliable prediction ...
InfoWorld

Multi-token prediction technique triples LLM inference speed without auxiliary draft models

With reported 3x speed gains and limited degradation in output quality, the method targets one of the biggest pain points in production AI systems: latency at scale. High inference latency and ...
TheServerSide

Run Llama LLMs on your laptop with Hugging Face and Python

There are numerous ways to run large language models such as DeepSeek, Claude or Meta's Llama locally on your laptop, including Ollama and Modular's Max platform. But if you want to fully control the ...