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Source channel @githubtrending · Post #15095 · Aug 25

#javascript#ai#anthropic#chatbots#chatgpt#claude#gemini#generative_ai#google_deepmind#large_language_models#llm#openai#prompt_engineering#prompt_injection#prompts There is a collection of system prompts used by popular chatbots like ChatGPT and others. These prompts are instructions that guide how chatbots respond. They are now available publicly on GitHub, which can be very helpful for users. By seeing these prompts, users can understand how chatbots work and even learn how to create their own AI tools. This can help developers build better AI applications and improve their understanding of AI technology. https://github.com/asgeirtj/system_prompts_leaks

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#javascript #ai #anthropic #chatbots #chatgpt #claude #gemini #generative_ai #google_deepmind #large_language_models #llm #openai #prompt_engineering #prompt_injection #prompts

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djangoproject

@djangoproject · Post #261 · 02/16/2017, 06:56 AM

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http://www.giantflyingsaucer.com/blog/?p=5557 In spring 2014 Python 3.4 shipped a provisional package (#asyncio) which according to the docs “provides infrastructure for writing single-threaded #concurrent code using #coroutines, #multiplexing I/O access over #sockets and other resources, running network clients and servers, and other related primitives“. I can’t possibly cover everything in this article but I can introduce some of the things you can do with it. As per my New’s Years resolution I’ll be building these #examples using Python 3.4.2 (Asyncio has been ported back to Python 3.3 now as well).

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#asyncio #concurrent #coroutines #multiplexing #sockets #examples