My personal prompt library for various LLMs + scripts & tools. Suitable for models from Deepseek, OpenAI, Claude, Meta, Mistral, Google, Grok, and others.

All in One AI Chat Tool( GPT-4 / GPT-3.5 /OpenAI API/Azure OpenAI/Prompt Template Engine)

Awesome ChatGPT Prompts: A list of Awesome ChatGPT prompts to make ChatGPT better. The Awesome ChatGPT Prompts Github repository contains over 157+ Prompts that will increase your productivity. For more ChatGPT Prompts visit: https://www.chatgpt-prompts.net/

Collection of Basic Prompt Templates for Various Chat LLMs (Chat LLM 的基础提示模板集合)

Interactive notes (Jupyter Notebooks) for building AI-powered applications

AI-zhipu is an Obsidian plugin that helps you utilize the Zhipu API. 智谱AI obsidian 插件

vim as a perfect large language models prompts playground

Prompt templating and versioning using jinja2 and litellm 🔥

Flexible and lightweight library for creating prompt templates

One Prompt that can Turned ChatGPT into AutoGPT.

Expert-level prompt templates for modern software development using AI pair programming.

LLMtemplateMaker: Prompt Template Creator for LLM

This tutorial is designed to make working with LangChain.js as easy and approachable as possible.

ostruct uses OpenAI Structured Output APIs to process a set of plain text files (data, reports, source code, CSV, etc), input variables, a dynamic prompt template, and a JSON schema specifying the desired output format, and will produce the result in JSON format.

This repository, forked from Packt Publishing, serves as a comprehensive guide to LangChain and LLMs, encompassing all the resources and knowledge gained from the on-demand course.

implement an LLM-powered chatbot. This chatbot will be able to have a conversation and remember previous interactions.

A collection of prompts that I use on a day-to-day basis for work and leisure.

"Will you be able to win?" This is the game that challenges Human to face LLM models in a variety of games, from guessing to association/pattern games... challenge yourself!

QA on documents with LangChain framework and Hugging Face LLM and prompt Templates