Reverse Engineer GPT? Check:
Now it needs neuropy & neurosky, rdkit & brian2, plus training. Now, for genuine AI development....
his blog explores simpler methods for using Kubernetes, Brython (Python for the web), and related tools like Flask and acorn.io. By the end, you'll understand how to set up and use these tools across various web domains. The main takeaway is knowing where to start or how to abstract from a starting point. Sometimes, while the documentation may be understandable, how to apply the documentation meaningfully or debug, may not be.If anything, it is a good place to also kick start one's career.
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.
ReplyDeletefor more info, look here
Deletehttps://github.com/ForkInABlender/ChatGPT_solutions_produced_from_simple_prompt/tree/2024_01
for additional information,
Deletehttps://hub.docker.com/repository/docker/de3343/ai_mods_py3.10/general
https://github.com/automl/pynisher
Deletehttps://luigi.readthedocs.io/en/stable/luigi_patterns.html
Deletehttps://web.archive.org/web/20210922193852/http://pybrain.org/docs/tutorial/extending-structure.html#layers
Deletehttps://www.cheminfo.org/Chemistry/Cheminformatics/Smiles/index.html
Deletehttps://www.rdkit.org/docs/GettingStartedInPython.html
Deletehttps://brian2.readthedocs.io/en/stable/user/equations.html
DeleteMuch of the code it has created gets tested and proofed of errors.
ReplyDeleteThen edited and retested.
Thus far, it has produced a viable alternative to pull the genie out of the bottle.
ReplyDeleteBecause it keeps it lightweight, it can practically be run anywhere python, numpy, scipy, rdkit, and brian2 can run.