... Everywhere's core features, gradually rolling out the following capabilities: Custom Strategies : Users can create and configure personalized strategies according to their needs, defining trigger conditions, prompts, and tool lists via STRATEGY.md file to achieve no-code automation. Preprocessors : Allows preprocessing

... size of 80 mb even claude or chatgpt have a limit of 30 mb, it takes at least 2-4 hours to clean a dataset and make it ML ready therefore to solve this problem i am developing an preprocessor that takes your messy CSVs and clean it according to the algorithm you will use XGboost, Regression and etc looking for your insights like is this actually useful and may work or i am overthinking ...

... rigid rule engines that miss edge cases and demand constant upkeep. So over the past few weeks, I prototyped a Dify workflow that marries general checks with a library of Bad Cases. Here s the 4-step pipeline: Preprocess & OCR the contract text LLM-based initial risk scan Retrieve similar Bad Cases from our case bank Deep-dive analysis & structured report generation I ve just run a demo on 3 sample contracts and 5 Bad Cases it flags ... ... issues and spits out actionable rewrite suggestions. Along the way, I wrestled with prompt length limits, list-vs

... preprocessor like SASS or LESS extends CSS by allowing variables, nested rules, and other programming-like features for easier styling ...