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Introduction The study by Sun et al. (“Predicting Human Brain States with Transformer”) advances the exploration of whether future human...

Introduction Inference scaling has emerged as a cornerstone in advancing artificial intelligence (AI), particularly within machine learning (ML) and deep...

Inference scaling has emerged as a novel and startling paradigm that stretches the boundaries of conventional AI development. In Ryan...

TLDR; Self-adaptation stands poised to become a transformative force in the evolution of large language models (LLMs). Traditional fine-tuning pipelines...

Agent Laboratory endeavors to reconfigure how machine learning (ML) research is conducted by placing large language model (LLM) agents at...

The paper "MiniMax-01: Scaling Foundation Models with Lightning Attention" presents a groundbreaking framework for large language models (LLMs) capable of...

Table of Contents Abstract Introduction The Concept of Take-Off Speeds 3.1 Slow Take-Off 3.2 Moderate Take-Off 3.3 Fast (Hard) Take-Off...

TLDR; This paper introduces Titans, an architectural framework that combines short-term memory (via an attention mechanism) with a novel long-term...

INTRODUCTION AND FOREWORD OpenAI’s “AI in America: Economic Blueprint” begins with a Foreword that underscores the organization’s overriding mission: ensuring...

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