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 ...
Seeking Alpha

Apple collaborates with Nvidia to speed up token generation

Magnificent Seven titans Apple (NASDAQ:AAPL) and Nvidia (NASDAQ:NVDA) have collaborated to accelerate large language model inferencing for Nvidia GPUs through an approach known as Recurrent Drafter, ...
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 ...

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 ...
VentureBeat

How Gradient created an open LLM with a million-token context window

In a recent collaboration, AI startup Gradient and cloud compute platform Crusoe extended the “context window” of Llama-3 models to 1 million tokens. The context window determines the number of input ...
insideHPC

Code Conversion, Reasoning, Visualization and Other LLMs for Science at Argonne

The following is an excerpt from an article written by Gail Pieper, coordingating writer/editor at Argonne National Laboratory. The complete article can be found here. Large language models (LLMs) ...