From ae3ac869f329145c6d5d3015f23bc8f502035d7d Mon Sep 17 00:00:00 2001 From: Dalton Pierce Date: Tue, 30 Apr 2024 10:44:59 -0400 Subject: [PATCH] Updated related_resources.md Added PromptHub to `related_resources.md` "Prompting libraries" section --- articles/related_resources.md | 1 + 1 file changed, 1 insertion(+) diff --git a/articles/related_resources.md b/articles/related_resources.md index a9a421e5..634cb727 100644 --- a/articles/related_resources.md +++ b/articles/related_resources.md @@ -21,6 +21,7 @@ People are writing great tools and papers for improving outputs from GPT. Here a - [Outlines](https://github.com/normal-computing/outlines): A Python library that provides a domain-specific language to simplify prompting and constrain generation. - [Parea AI](https://www.parea.ai): A platform for debugging, testing, and monitoring LLM apps. - [Portkey](https://portkey.ai/): A platform for observability, model management, evals, and security for LLM apps. +- [PromptHub](https://prompthub.us): A platform to manage, collaborate, version, and share prompts. - [Promptify](https://github.com/promptslab/Promptify): A small Python library for using language models to perform NLP tasks. - [PromptPerfect](https://promptperfect.jina.ai/prompts): A paid product for testing and improving prompts. - [Prompttools](https://github.com/hegelai/prompttools): Open-source Python tools for testing and evaluating models, vector DBs, and prompts.