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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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О городах и данных

@datainthecity · Post #253 · 12/12/2024, 12:18 PM

While there is a constantly growing number of publications about the integration of large models (#LLMs, Visual language models) with spatial apps—both academic and marketing 😎 — we added our two bits from solving real business cases. Next time you see a lot of comments under another LinkedIn post featuring #geoai and #arcgis as a game changer of this integration, take a deep breath and remind yourself about hitting the target. 😃