Firstly I wrapped up the first step of this pipeline. I firstly changed Array Process to Alpha Process, and inside of it created functions for each step of that process making everything clean, professional, and modular.

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After that I created a file called BetaProcess and restarted the Chemistry Checks there since there turned out to be MANY more steps to that process than what I had initially thought. Now what happens is firstly the Arrays we created in the Alpha Process are sent to deep seek to be put back together into molecular formulas. I this requires a new overly long prompt that details out all the steps the AI must take and chemistry rules and exceptions it must consider. I took some time in perfecting this prompt. After we get the reconstructed molecule we have to parse it out. Right now the LLM gives the molecule along with a whole response. I originally tried using Re to parse out the molecular formula. That didn’t work so then I had to format the LLM response to keep the answer at the end so I could just run normal string parsing to get the molecule. Then its shot off to the same LLM and prompt as the last devlog to find out how plausible the molecule is.

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The challenges in this phase were making sure the deepsake model could put together even the hardest type of molecules so a big part of this was continuous testing and modifying of the prompt.

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LLM’s are strange in how they always feel the need to have a 2 page explanation for every response. Because of that a bug challenge was figuring out how to parse out the information we want from each LLM response.

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I was getting a headache looking at the outputs of this phase. Just words and number mushing together everywhere. So then I spent a lot of time formatting the output of this phase to make the information readable, understandable, and intuitive to follow.