Explore tweets tagged as #ASYSTEM
🚀 Open-sourcing ASystem Awex: The ultimate performance weight sync framework for RL! It solves the core training/inference weight params latency challenge: sync 1T-param models across thousands GPUs in <6s. For more RL system best practices, tuned in for the next 5-6 wks!
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自杀干涉 身份证 手机号 银行卡号 微信二维码 支付宝二维码 本人照片 全无 本人现在技术无能为力(Q反) 仅有无地区QQ号 有能力且愿意帮助的朋友私信 获取完整QQ @AsdQWD358224
@Caroline_9870
@rosmarinou
@HYuusui1999
@A_Asystem
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The technical report of Ring-1T. It is a combination of stabilization for MoE (IcePop), Rollout partitioning (C3PO++), and asynchronous framework (ASystem).
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Syncing 1 Trillion Parameters in <6 Seconds? Meet Awex. ASystem has officially released the source code for Awex, a high-performance framework designed to tackle the critical challenge of weight synchronization in distributed Reinforcement Learning. Key Capabilities: ✅
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2025 fue el año del regreso para nosotros 2026 es el año que regresará el premium Aún todo gratis por aquí durante la gira australiana https://t.co/bRmgtKMchI
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Ayer no fue nuestro día ❌Bondar ML ❌Tomljanovic ML Dos momios positivos, había valor en esas cuotas pero no se nos dio
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Introducing AState, the 3rd #OpenSource component to ASystem! AState is a general state data management system for #reinforcementlearning tasks. It is currently deployed in Ling-1T RL training tasks, achieving a ⚡️breakthrough in cutting trillion-parameter weight synchronization
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Uno con insomnio porque temporada de #AustralianOpen y le ponen la alerta sísmica a todo volumen
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Buen día a todos Muchos partidos de tenis por analizar, empezamos a correr el modelo para los picks
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Introducing AState, the 3rd OSS component to ASystem! AState is a general state data management system for RL tasks. It is currently deployed in Ling-1T RL training tasks, achieving a breakthrough in cutting trillion-parameter weight synchronization time from minutes to ~6
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