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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#python#agent_computer_interface#ai_agents#computer_automation#computer_use#grounding#gui_agents#in_context_reinforcement_learning#memory#mllm#planning#retrieval_augmented_generation Agent S2 is a smart AI assistant that handles computer tasks by breaking them into smaller steps and using specialized tools for each part, making it highly adaptable and efficient across different systems like Windows and Android. It outperforms other AI tools in completing complex tasks, learns from experience, and adjusts plans as needed, helping users automate digital work more reliably and effectively. https://github.com/simular-ai/Agent-S
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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