djangoproject
@djangoproject · Post #391 · 07/25/2017, 08:24 PM
https://www.python.org/dev/peps/pep-0492/ #Coroutines with #async and #await syntax
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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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djangoproject
@djangoproject · Post #160 · 09/12/2016, 05:43 PM
http://stackoverflow.com/questions/34052293/mixinig-async-context-manager-and-straight-await-in-asyncio #aenter #aexit #await #asyncio
djangoproject
@djangoproject · Post #517 · 12/08/2017, 05:27 AM
https://vorpus.org/blog/some-thoughts-on-asynchronous-api-design-in-a-post-asyncawait-world/#websocket-servers I've recently been exploring the exciting new world of #asynchronous I/O libraries in Python 3 – specifically asyncio and curio. These two libraries make some different design choices. Example 1: #asyncio, with callbacks Example 2: #curio, with #async/#await Example 3: asyncio, with async/await #websockets