Reverse Engineer GPT? Check:

Now it needs neuropy & neurosky, rdkit & brian2, plus training. Now, for genuine AI development....

Comments

  1. Now if one uses "pynisher" & "luigi" modules for python with such, one can genuinely build an AI and each task handled asynchronously. And memory managed.

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    Replies
    1. for more info, look here

      https://github.com/ForkInABlender/ChatGPT_solutions_produced_from_simple_prompt/tree/2024_01

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    2. for additional information,

      https://hub.docker.com/repository/docker/de3343/ai_mods_py3.10/general

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    3. https://github.com/automl/pynisher

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    4. https://luigi.readthedocs.io/en/stable/luigi_patterns.html

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    5. https://web.archive.org/web/20210922193852/http://pybrain.org/docs/tutorial/extending-structure.html#layers

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    6. https://www.cheminfo.org/Chemistry/Cheminformatics/Smiles/index.html

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    7. https://www.rdkit.org/docs/GettingStartedInPython.html

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    8. https://brian2.readthedocs.io/en/stable/user/equations.html

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  2. Much of the code it has created gets tested and proofed of errors.

    Then edited and retested.

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  3. Thus far, it has produced a viable alternative to pull the genie out of the bottle.

    Because it keeps it lightweight, it can practically be run anywhere python, numpy, scipy, rdkit, and brian2 can run.

    ReplyDelete

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