| **LlamaIndex** | LlamaIndex is a project consisting of a set of data structures designed to make it easier to use large external knowledge bases with LLMs. | [[Github]](https://github.com/jerryjliu/gpt_index) |
| **Promptify** | Solve NLP Problems with LLM's & Easily generate different NLP Task prompts for popular generative models like GPT, PaLM, and more with Promptify | [[Github]](https://github.com/promptslab/Promptify) |
| **Arize-Phoenix** | Open-source tool for ML observability that runs in your notebook environment. Monitor and fine tune LLM, CV and Tabular Models. | [[Github]](https://github.com/Arize-ai/phoenix) |
| **Better Prompt** | Test suite for LLM prompts before pushing them to PROD | [[Github]](https://github.com/krrishdholakia/betterprompt) |
| **CometLLM** | Log, visualize, and evaluate your LLM prompts, prompt templates, prompt variables, metadata, and more. | [[Github]](https://github.com/comet-ml/comet-llm) |
| **Embedchain** | Framework to create ChatGPT like bots over your dataset | [[Github]](https://github.com/embedchain/embedchain) |
| **Interactive Composition Explorerx** | ICE is a Python library and trace visualizer for language model programs. | [[Github]](https://github.com/oughtinc/ice) |
| **Haystack** | Open source NLP framework to interact with your data using LLMs and Transformers. | [[Github]](https://github.com/deepset-ai/haystack) |
| **LangChainx** | Building applications with LLMs through composability | [[Github]](https://github.com/hwchase17/langchain) |
| **OpenPrompt** | An Open-Source Framework for Prompt-learning | [[Github]](https://github.com/thunlp/OpenPrompt) |
| **Prompt Engine** | This repo contains an NPM utility library for creating and maintaining prompts for Large Language Models (LLMs). | [[Github]](https://github.com/microsoft/prompt-engine) |
| **PromptInject** | PromptInject is a framework that assembles prompts in a modular fashion to provide a quantitative analysis of the robustness of LLMs to adversarial prompt attacks. | [[Github]](https://github.com/agencyenterprise/PromptInject) |
| **Prompt Source** | PromptSource is a toolkit for creating, sharing and using natural language prompts. | [[Github]](https://github.com/bigscience-workshop/promptsource) |
| **ThoughtSource** | A framework for the science of machine thinking | [[Github]](https://github.com/OpenBioLink/ThoughtSource) |
| **AI Config** | An Open-Source configuration based framework for building applications with LLMs | [[Github]](https://github.com/lastmile-ai/aiconfig) |
| **LastMile AI** | Notebook-like playground for interacting with LLMs across different modalities (text, speech, audio, image) | [[Tool]](https://lastmileai.dev/) |
| **XpulsAI** | Effortlessly build scalable AI Apps. AutoOps platform for AI & ML | [[Tool]](https://xpuls.ai/) |
| **Agenta** | Agenta is an open-source LLM developer platform with the tools for prompt management, evaluation, human feedback, and deployment all in one place. | [[Github]](https://github.com/agenta-ai/agenta) |
| **Promptotype** | Develop, test, and monitor your LLM { structured } tasks | [[Tool]](https://www.promptotype.io) |
## Tutorials and Videos
### Introduction to Prompt Engineering
- [Prompt Engineering 101 - Introduction and resources](https://www.linkedin.com/pulse/prompt-engineering-101-introduction-resources-amatriain)
- [Prompt Engineering Guide by SudalaiRajkumar](https://github.com/SudalaiRajkumar/Talks_Webinars/blob/master/Slides/PromptEngineering_20230208.pdf)
### Beginner's Guide to Generative Language Models
- [A beginner-friendly guide to generative language models - LaMBDA guide](https://aitestkitchen.withgoogle.com/how-lamda-works)
- [Generative AI with Cohere: Part 1 - Model Prompting](https://txt.cohere.ai/generative-ai-part-1)
### Best Practices for Prompt Engineering
- [Best practices for prompt engineering with OpenAI API](https://help.openai.com/en/articles/6654000-best-practices-for-prompt-engineering-with-openai-api)
- [How to write good prompts](https://andymatuschak.org/prompts)
### Complete Guide to Prompt Engineering
- [A Complete Introduction to Prompt Engineering for Large Language Models](https://www.mihaileric.com/posts/a-complete-introduction-to-prompt-engineering)
- [Prompt Engineering Guide: How to Engineer the Perfect Prompts](https://richardbatt.co.uk/prompt-engineering-guide-how-to-engineer-the-perfect-prompts)
### Technical Aspects of Prompt Engineering
- [3 Principles for prompt engineering with GPT-3](https://www.linkedin.com/pulse/3-principles-prompt-engineering-gpt-3-ben-whately)
- [A Generic Framework for ChatGPT Prompt Engineering](https://medium.com/@thorbjoern.heise/a-generic-framework-for-chatgpt-prompt-engineering-7097f6513a0b)
- [Methods of prompt programming](https://generative.ink/posts/methods-of-prompt-programming)
