Promptify and promptml
These are complementary tools: Promptify provides a framework for prompt engineering and versioning with structured output handling, while PromptML offers a markup language specification that could be used as an input format or templating syntax within such a framework.
About Promptify
promptslab/Promptify
Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research
This tool helps non-technical professionals extract specific information, categorize text, or answer questions from unstructured text using AI. You input raw text (like medical notes, customer reviews, or articles) and specify what kind of structured output you need, such as lists of conditions, sentiment labels, or direct answers. It's designed for data analysts, researchers, or anyone who needs to quickly get organized data from large amounts of text without extensive coding.
About promptml
narenaryan/promptml
Prompt markup language (A.K.A PromptML) library is specially built for AI systems - from Vidura AI
This helps AI prompt engineers define and manage their AI prompts in a structured, consistent way. It takes a custom markup language (.pml file) as input, which explicitly defines the prompt's context, objective, instructions, and examples. The output is a highly organized, machine-readable prompt that can be used by various AI systems, helping prompt engineers create reliable and collaborative prompt workflows.
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