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Source channel @githubtrending · Post #15131 · Sep 9

#python#agent#llms AutoAgent lets you create and use powerful AI agents easily by just using natural language—no coding needed. It supports many large language models (LLMs) like OpenAI and Anthropic, and performs as well as top research AI systems on benchmarks. You can build tools, agents, and workflows quickly, manage data efficiently with its built-in vector database, and interact flexibly through different modes. It’s lightweight, customizable, and cost-effective, making it a personal AI assistant that helps automate complex tasks simply and efficiently. This saves you time and technical effort while giving you advanced AI capabilities. https://github.com/HKUDS/AutoAgent

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djangoproject

@djangoproject · Post #270 · 02/26/2017, 08:08 AM

https://www.obeythetestinggoat.com/testing-async-asyncio-and-performance.html #Testing, #async, #asyncio, and #performance Sun 27 December 2015 By Harry I recently did some experimenting with asyncio, and wanted to report back on how I got on with writing tests for it. While I was at it I was also able to compare its performance with a couple of other approaches to #mutlitasking in Python, namely #threads and #gevent, so I'll report on that here too. (tl;dr: it's much of a muchness).