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"banks" Using Jinja as the basis of LLM prompt templating

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"banks" Using Jinja as the basis of LLM prompt templating

banks is a side project by my colleague Massi. We work on the open source NLP framework Haystack together ( https://github.com/deepset-ai/haystack ) and prompt templating is obviously a 'hot' topic and it's something to design these types of projects around. Massi had this concept in mind to use Jinja (or any other templating language for that matter) as the basis, and clearly decided to take it for a spin. I personally am in love with this style of prompt templating and think it makes the whole process insanely flexible and easy to read. Wanted to share it here to see what others think. Hope you enjoy.

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AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
57%57% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: open source, ide, io · Missing: https docs, excited, just released
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TrustMRRLess likely to generate early MRR · Strong signals: personal · Missing: mobile apps, ios, entrepreneurs
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Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
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