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Working on Generative Models | Prompt-Engineering | LLMs

Relying solely on LLMs is often insufficient to build applications & tools. To unlock their full potential, it is necessary to integrate LLMs with additional sources of information, such as structured data or domain-specific knowledge.
PromptLabs is dedicated to developing open-source tools and libraries that support developers in creating robust pipelines for using LLMs APIs in production.


Open-Source LLM and Prompt-Engineering Tools/Libraries

Welcome to PromptsLab! We're working on awesome open-source toolkit designed to make it easy to work with Large Language Models(LLMs). Check out our core repos:

  • Promptify - Core library with LLM & Prompt-Engineering components for NLP tasks in Python
  • PromptifyJs - Core library with LLM & Prompt-Engineering components for NLP tasks in Javascript
  • PromptGraph - Library that Solve Geometric & Graph Problems with Large Language Models
  • openai-detector - AI classifier for indicating AI-written text in python (Openai Detector in Python)
  • Awesome Prompt Engineering - This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc
  • LLM Prompt Vulnerabilities - Prompts Methods to find the vulnerabilities in Generative Models
  • community - If you have questions, Join our discord Community for Prompt-Engineering, LLMs and other latest research discussions

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