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 ...
Case Western Reserve University

AI or Human: Watermarking LLM-Generated Text

Erman Ayday, Co-Faculty Director, xLab; Associate Professor, Computer and Data Science The rapid expansion of artificial intelligence (AI) and natural language processing (NLP) in recent years has ...
InfoWorld

The limitations of model fine-tuning and RAG

The hype and awe around generative AI have waned to some extent. “Generalist” large language models (LLMs) like GPT-4, Gemini (formerly Bard), and Llama whip up smart-sounding sentences, but their ...
VentureBeat

Meta's new multi-token prediction makes AI models up to 3X faster

In a recent study, researchers at Meta, Ecole des Ponts ParisTech and Université Paris-Saclay suggest improving the accuracy and speed of AI large language models (LLMs) by making them predict ...
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.
Forbes

Getting Better Outputs From AI Tools Through Better Understanding

If you've ever found yourself wrangling with your AI tool of choice and not quite getting the output you wanted, a greater understanding of how it works under the hood may help. Looking beyond the ...