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Source channel @githubtrending · Post #14768 · May 31

#typescript#ci#ci_cd#cicd#evaluation#evaluation_framework#llm#llm_eval#llm_evaluation#llm_evaluation_framework#llmops#pentesting#prompt_engineering#prompt_testing#prompts#rag#red_teaming#testing#vulnerability_scanners Promptfoo is a tool that helps developers test and improve AI applications using Large Language Models (LLMs). It allows you to **test prompts and models** automatically, **secure your apps** by finding vulnerabilities, and **compare different models** side-by-side. You can use it on your computer or integrate it into your development workflow. This tool helps you make sure your AI apps work well and are secure before you release them. It saves time and ensures quality by using data instead of guessing. https://github.com/promptfoo/promptfoo

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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).