How DeepSeek’s DSpark Makes LLMs 85% Faster Without Retraining

DeepSeek has introduced DSpark, an open-source speculative decoding method that accelerates LLM inference by up to 85% ...
Business Wire

PKSHA develops advanced Large Language Models in collaboration with Microsoft Japan

TOKYO--(BUSINESS WIRE)--PKSHA Technology Inc. (TOKYO:3993) has developed one of the first Japanese-English Large Language Models (LLM) using Retentive Network (RetNet) (*1) in collaboration with ...
BizTech

What Is Parallel Processing, or Parallelization?

Modern computing has many foundational building blocks, including central processing units (CPUs), graphics processing units (GPUs) and data processing units (DPUs). However, what almost all modern ...
Geeky Gadgets

Mercury 2 : World’s Fastest Reasoning AI Model Built for Production Applications

Mercury 2, the first diffusion-based reasoning large language model, introduces a new approach to token generation by refining multiple tokens in parallel rather than sequentially. This shift enables ...
Search Engine Land

LLM optimization in 2026: Tracking, visibility, and what’s next for AI discovery

Marketing, technology, and business leaders today are asking an important question: how do you optimize for large language models (LLMs) like ChatGPT, Gemini, and Claude? LLM optimization is taking ...