Why Yann LeCun is Betting Big Against Large Language Models

Discover the science behind Yann LeCun's billion-dollar bet against LLMs, focusing on self-supervised learning and predictive ...
Morningstar

Breaking the 100M Token Limit: EverMind's MSA Architecture Achieves Efficient End-to-End Long-Term Memory for LLMs

The research introduces a novel memory architecture called MSA (Memory Sparse Attention). Through a combination of the Memory Sparse Attention mechanism, Document-wise RoPE for extreme context ...
VentureBeat

Bigger isn't always better: Examining the business case for multi-million token LLMs

The race to expand large language models (LLMs) beyond the million-token threshold has ignited a fierce debate in the AI community. Models like MiniMax-Text-01 boast 4-million-token capacity, and ...
Hackaday

The Math You Need To Start Understanding LLMs

Once you peel back the hype and mysticism, large language models (LLMs) are a fascinating application of statistical models, effectively what you get when you dial a basic auto-complete model up to ...