CGW Repo: A comprehensive toolkit for helping in the creation and optimization of Custom GPTs (Generative Pre-trained Transformers) with openAi's builder, designed to guide users through the process of tailoring AI models for specific tasks. Features include step-by-step instructions, troubleshooting tips, and frameworks for evaluating GPT quality.
This seems to very a bit with GPT's "moods" lol. The goal is to turn this process consistent through instruction improvement, wherein I will first experiment with injecting "mood stabilizing" code to "guide" CGW down the most conducive and constructive lines of reasoning, with the goal of getting it to even out on how it is doing with more detailed embedded instructions like the code block request instruction for example. If that doesn't work then I will refactor that part of the code specifically, and then tune those two parameters until CGW outputs consistently in testing.
This applet has been aimed at being middle-ware (between the user and the GPT builder) for less advanced developers and builders who might find working with bigger constructs like APIs daunting, inconvenient, or too time consuming to deal with. Also I have needed to expand my own knowledge to feel confident in implementing these into the CGW and having it advise others on it. The goal is to gather some open source knowledge specific to API building in this context. to ultimately then pool the Knowledge for the Knowledge Data Base. After doing CGW will hopefully have enough to work with these inside the CGWs main framework.