Reverse Engineer GPT? Check:

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

Comments

  1. Dylan EliotJanuary 17, 2024 at 11:29 AM

    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.

    ReplyDelete
    Replies
    1. Dylan EliotJanuary 17, 2024 at 11:30 AM

      for more info, look here

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

      Delete
    2. Dylan EliotJanuary 17, 2024 at 11:31 AM

      for additional information,

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

      Delete
    3. Dylan EliotJanuary 17, 2024 at 11:32 AM

      https://github.com/automl/pynisher

      Delete
    4. Dylan EliotJanuary 17, 2024 at 11:32 AM

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

      Delete
    5. Dylan EliotJanuary 17, 2024 at 11:33 AM

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

      Delete
    6. Dylan EliotJanuary 17, 2024 at 11:33 AM

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

      Delete
    7. Dylan EliotJanuary 17, 2024 at 11:33 AM

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

      Delete
    8. Dylan EliotJanuary 17, 2024 at 11:34 AM

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

      Delete
  2. Dylan EliotJanuary 17, 2024 at 11:35 AM

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

    Then edited and retested.

    ReplyDelete
  3. Dylan EliotJanuary 17, 2024 at 11:37 AM

    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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