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Source channel @githubtrending · Post #15539 · Mar 5

#python#agent#llm#llm_agent#llm_reasoning#machine_learning_systems#mlsys#reinforcement_learning#rl AReaL is a free, open-source system for fast asynchronous reinforcement learning to train large AI models in math, coding, search, and agents. It decouples generation and training for up to 2.77x speedup, stable performance, and easy setup on single or 1000+ GPUs with algorithms like GRPO/PPO. Install via git/pip, run examples like GSM8K math instantly. You benefit by building top AI agents affordably and quickly, reproducing results with shared data/models, saving time/money vs. slow synchronous tools. https://github.com/inclusionAI/AReaL

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Host Testing and evaluation

@HostEvaluate · Post #610 · 02/25/2020, 12:32 PM

来自群友 @ilemonrain 的投稿 HostProvider: Netfront(HongKong) Specification: 4 vCore | 4096M RAM | 128G SAN HDD Network: 1T @ 96Mbps Looking glass: 202.81.237.1 Price: 80HKD/Month #HK#Netfront#HKIX Proxmox虚拟化架构,实际virt-what检测结果为 hyperv+qemu https://paste.ubuntu.com/p/Vb8JWjxYfs/