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The Dynamics of Neural Attention
This document introduces Distributed Neural Architectures (DNAs), a novel approach to neural network design in both vision and language domains. Unli…
1Â year ago
Consciousness and Reality according to the CIA:Gateway
This declassified document is a detailed analysis from the U.S. Army Intelligence and Security Command concerning the Gateway Experience, a training …
1Â year ago
Military Roots of Digital Computing and Research
These sources extensively detail the development and historical significance of Project Whirlwind, a pioneering digital computer effort led by the Ma…
1Â year ago
Accelerating Mobile AI with ExecuTorch and KleidiAI: Revisited
We take another look at Executorch and KleidAI. The source discusses advancements in on-device AI, specifically focusing on Large Language Model (LLM…
1Â year ago
State-Adaptive Regularization for Offline Reinforcement Learning
This research introduces a novel selective state-adaptive regularization method for offline reinforcement learning (RL), which aims to learn effectiv…
1Â year ago
Nash Learning from Human Feedback via Mirror Prox
This document introduces Nash Mirror Prox (NashMP), a novel algorithm designed to improve Large Language Model (LLM) alignment with human preferences…
1Â year ago
MiniMax-M1: Scaling Test-Time Compute with Lightning Attention
The document introduces MiniMax-M1, a novel open-weight large-scale reasoning model designed for efficient processing of extensive inputs and complex…
1Â year ago
Direct Reasoning Optimization for LLMs
This document introduces Direct Reasoning Optimization (DRO), a novel reinforcement learning framework designed to enhance the reasoning abilities of…
1Â year ago
AI's Impact on the US Workforce
This document explores the integration of AI agents into the workplace, analyzing both worker desires and technological capabilities. It introduces t…
1Â year ago
LLaMA Factory: Easy LLM Fine-Tuning
The provided sources introduce LLaMA Factory, a powerful and user-friendly platform designed to simplify the process of training and fine-tuning larg…
1Â year ago