NextBigFuture

Tokens and Tokenization are an Important for Fundamental LLM Understanding

Tokens are the fundamental units that LLMs process. Instead of working with raw text (characters or whole words), LLMs convert input text into a sequence of numeric IDs called tokens using a ...
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.
Nasdaq

Apple and Nvidia Partner to Enable Faster LLM Token Generation

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Inception Launches Mercury 2, the Fastest Reasoning LLM — 5x Faster Than Leading Speed-Optimized LLMs, with Dramatically Lower Inference Cost

Inception, the company behind the first commercial diffusion large language models (dLLMs), today announced the launch of ...
The Financial Express

Taalas HC1 AI chip hype explained: Why this Nvidia GPU-beating chip with 17,000 tokens per second speed is viral

Taalas HC1 with Llama 3.1 8B AI model can deliver near-instantaneous responses, even for detailed queries like a ...

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

Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...
Tom's Guide

AI glossary: all the key terms explained including LLM, models, tokens and chatbots

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Anthropic Tool Calling Updates Cut Tokens 30–50% in Multi-Step Agent Tasks

Anthropic updates tool calling to reduce token use; tool search cuts tokens up to 80%, making larger tool sets practical.