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There is something I don't understand (from a tech point of view). Why call it GirlfriendGPT if 99% of the code is generic code for a fancy whatever-you-want-it-to-be chatGPT? The only thing that makes the answers "girlfriend-like" is this file https://github.com/EniasCailliau/GirlfriendGPT/blob/main/src...
So, it should be tremendously easy to turn GirlfriendGPT into "BestFriendGPT" or "LinusTorvaldsGPT" or whatever by just modifying the prompt, right? I know, I know, perhaps duplication is cheaper than (the wrong) abstraction but my tech-side tells me: refactor the common thing out now! : D
More interesting, possibly, is the project that this is forked from (by the same developer), which is a general-purpose framework for LangChain Agents: https://github.com/steamship-packages/langchain-agent-produc...
I'm curious, though. It appears to be using the OpenAI API, which means that at some point it has to have an API key, but I can't see any sign in the code of where it expects to get this from.
More interesting, possibly, is the project that this is forked from (by the same developer), which is a general-purpose framework for LangChain Agents: https://github.com/steamship-packages/langchain-agent-produc...
I'm curious, though. It appears to be using the OpenAI API, which means that at some point it has to have an API key, but I can't see any sign in the code of where it expects to get this from.
Decent local LLMs such as Vicuna-7B are already able to run on phones with 8 GB RAM: https://mlc.ai/mlc-llm/
Right now it's a prototype, but in the future local LLMs will be everywhere.
Uh, no. This is false. It’s just part of a broader trend to stop using ‘master’ due to some people finding that term offensive.
https://github.com/github/renaming