Best AI tools for< Understand Prompt Engineering >

Prompt Engineering is a discipline focused on developing and optimizing prompts to efficiently utilize language models (LMs) for various applications and research topics. It involves skills to understand the capabilities and limitations of large language models, improving their performance on tasks like question answering and arithmetic reasoning. Prompt engineering is essential for designing robust prompting techniques that interact with LLMs and other tools, enhancing safety and building new capabilities by augmenting LLMs with domain knowledge and external tools.

Easy Prompt is an AI-powered tool that helps users interact more effectively with the Web3 ecosystem. It provides a user-friendly interface that makes it easy to access and use Web3 applications and services. Easy Prompt also offers a variety of features that can help users learn about and understand Web3.

MindpoolAI is a tool that allows users to access multiple leading AI models with a single query. This means that users can get the answers they are looking for, spark ideas, and fuel their work, creativity, and curiosity. MindpoolAI is easy to use and does not require any technical expertise. Users simply need to enter their prompt and select the AI models they want to compare. MindpoolAI will then send the query to the selected models and present the results in an easy-to-understand format.

Gemini is a multi-modal AI model, developed by Google. It is designed to understand and generate human language, and can be used for a variety of tasks, including question answering, translation, and dialogue generation. ChatGPT is a large language model, developed by OpenAI. It is also designed to understand and generate human language, and can be used for a variety of tasks, including question answering, translation, and dialogue generation.

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Arting AI is an AI creation platform that allows users to turn their ideas into images and videos. It offers a versatile AI-driven creativity platform for both professional workflows and personal lifestyles, delivering a 500% efficiency boost. The platform is powered by extensive data training, enabling it to understand and adapt to various prompts, delivering exceptional creative content tailored to the user's needs. Arting AI is ideal for e-commerce, advertising, entertainment, education, interior design, and more, providing rapid generation of creative resources with a maximum response time of less than 3 seconds.

Midjourney is a free online AI image generator that allows users to create high-quality images from simple text prompts. It is powered by advanced machine learning algorithms that can understand the meaning of words and convert them into realistic and visually appealing images. Midjourney is easy to use and does not require any special hardware or software. Users simply need to enter a text description of the image they want to generate and Midjourney will create it in a matter of seconds.

AIby.email is an AI-powered email assistant that helps you write better emails, faster. It uses natural language processing to understand your intent and generate personalized email responses. AIby.email also offers a variety of other features, such as email scheduling, tracking, and analytics.

Feedough.com is a comprehensive platform for entrepreneurs, startup founders, and small business owners, offering a wide range of articles, guides, resources, and reviews covering various aspects of entrepreneurship. From startups, marketing, and finance to operations and technology, Feedough provides easy-to-understand content to help users make informed decisions and grow their businesses. The website aims to support the startup community by providing valuable insights and knowledge on startups and AI.

CLIP Interrogator is a tool that uses the CLIP (Contrastive Language–Image Pre-training) model to analyze images and generate descriptive text or tags. It effectively bridges the gap between visual content and language by interpreting the contents of images through natural language descriptions. The tool is particularly useful for understanding or replicating the style and content of existing images, as it helps in identifying key elements and suggesting prompts for creating similar imagery.

LLM Clash is a web-based application that allows users to compare the outputs of different large language models (LLMs) on a given task. Users can input a prompt and select which LLMs they want to compare. The application will then display the outputs of the LLMs side-by-side, allowing users to compare their strengths and weaknesses.

AWS Docs GPT is an AI-powered tool designed to enhance the user experience of searching and interacting with AWS documentation. By leveraging the power of artificial intelligence, the tool provides advanced search capabilities and chat functionalities to help users navigate and understand the vast amount of information available in the AWS documentation. With features like Antimetal for cost savings and Clear Prompt for clarity, AWS Docs GPT aims to streamline the process of accessing and utilizing AWS resources.

Diffusion Chat is a text-to-image AI tool that allows users to generate images from text prompts. The tool uses a large language model to understand the user's prompt and then generates an image that matches the description. Diffusion Chat is still in development, but it has already shown great promise for creating realistic and creative images.

SkinGenerator.io is an AI-powered Minecraft Skin Generator that allows users to create custom skins for the popular video game Minecraft. By providing a text prompt, the tool uses generative art models to generate unique in-game skins. Users can choose from different subscription plans to access additional skin generations and new models. The website also provides FAQs to help users understand the tool's functionality and offers exclusive updates and features for subscribers.

Depth is a personalized journal app powered by AI. It provides users with personalized journal prompts to help them understand and navigate their feelings. The app is designed to be user-friendly and easy to use, and it offers a variety of features to help users get the most out of their journaling experience.

PersonaGPT is an AI-powered customer focus group tool that helps businesses understand their customers better. It provides expert-designed prompts paired with conversational AI to help businesses get instant access to insights directly from their customers' minds. PersonaGPT can be used to find out what customers think, discover what content they want, get feedback on websites and creative, highlight unique selling points, isolate pain points, and reveal partnerships with crossover brands.

Cut The SaaS is an AI tool that empowers users to harness the power of AI and automation for various aspects of their professional and personal life. The platform offers a wide range of AI tools, content, and resources to help users stay updated on AI trends, enhance their content creation, and optimize their workflows.

SoraPrompting is a website that provides a collection of prompts to help users get started with Sora prompting and create high-quality video content. The website also includes a form for users to submit their own prompts, which can then be reviewed and added to the collection for the community to explore and create videos from. Sora is OpenAI's revolutionary text-to-video model, designed to understand and simulate the physical world in motion. It aims to assist in solving real-world problems through dynamic interaction. Sora stands out by generating high-quality videos up to a minute long while maintaining visual excellence and adhering to user prompts. Its unique capabilities make it a game-changer in the AI landscape.

Excelly-AI is a powerful tool that transforms plain text into Excel formulas, supporting both Excel and Google Sheets. Users can generate any formula they like and receive explanations for each. It allows uploading .xlsx files for personalized prompts and offers VBA formula generation. Excelly-AI integrates with Slack for team collaboration and provides column schema support for meaningful prompts, enhancing Excel and Google Sheets operations.

Tune Chat is a chat application that utilizes open-source Large Language Models (LLMs) to provide users with a conversational and informative experience. It is designed to understand and respond to a wide range of user queries, offering assistance with various tasks and engaging in natural language conversations.

This repository contains code for the O'Reilly Live Online Training for Deploying GPT & LLMs. Learn how to use GPT-4, ChatGPT, OpenAI embeddings, and other large language models to build applications for experimenting and production. Gain practical experience in building applications like text generation, summarization, question answering, and more. Explore alternative generative models such as Cohere and GPT-J. Understand prompt engineering, context stuffing, and few-shot learning to maximize the potential of GPT-like models. Focus on deploying models in production with best practices and debugging techniques. By the end of the training, you will have the skills to start building applications with GPT and other large language models.

This repository provides sample prompts for GenerativeAI in Japanese. Users should exercise caution and not input sensitive information. The included tools are Microsoft Copilot, OpenAI, Azure OpenAI Service, and Prompt Engineering Basic. The repository also offers a guide for Prompt Engineering in Japanese, along with references to various Japanese examples of Prompt Engineering techniques.

The LLM Prompt Tuning Playbook is a comprehensive guide for improving the performance of post-trained Language Models (LLMs) through effective prompting strategies. It covers topics such as pre-training vs. post-training, considerations for prompting, a rudimentary style guide for prompts, and a procedure for iterating on new system instructions. The playbook emphasizes the importance of clear, concise, and explicit instructions to guide LLMs in generating desired outputs. It also highlights the iterative nature of prompt development and the need for systematic evaluation of model responses.

A curated list of Generative AI projects, tools, artworks, and models

The Prompt Engineering Holy Grail repository is a curated resource for prompt engineering enthusiasts, providing essential resources, tools, templates, and best practices to support learning and working in prompt engineering. It covers a wide range of topics related to prompt engineering, from beginner fundamentals to advanced techniques, and includes sections on learning resources, online courses, books, prompt generation tools, prompt management platforms, prompt testing and experimentation, prompt crafting libraries, prompt libraries and datasets, prompt engineering communities, freelance and job opportunities, contributing guidelines, code of conduct, support for the project, and contact information.

This project is an LLM-based Advanced Prompt Generator designed to automate the process of prompt engineering by enhancing given input prompts using large language models (LLMs). The tool can generate advanced prompts with minimal user input, leveraging LLM agents for optimized prompt generation. It supports gpt-4o or gpt-4o-mini, offers FastAPI & Docker deployment for efficiency, provides a Gradio interface for easy testing, and is hosted on Hugging Face Spaces for quick demos. Users can expand model support to offer more variety and flexibility.

This repository provides resources and notebooks for building text-based applications using the ChatGPT API and Langchain. It includes guides on prompt engineering, fine-tuning ChatGPT, using LangChain, and creating applications like a quiz generator and notes summarizer. The repository aims to help users understand and implement various natural language processing tasks with pre-trained language models.

This project is a tutorial on developing large model applications for novice developers. It aims to provide a comprehensive introduction to large model development, focusing on Alibaba Cloud servers and integrating personal knowledge assistant projects. The tutorial covers the following topics: 1. **Introduction to Large Models**: A simplified introduction for novice developers on what large models are, their characteristics, what LangChain is, and how to develop an LLM application. 2. **How to Call Large Model APIs**: This section introduces various methods for calling APIs of well-known domestic and foreign large model products, including calling native APIs, encapsulating them as LangChain LLMs, and encapsulating them as Fastapi calls. It also provides a unified encapsulation for various large model APIs, such as Baidu Wenxin, Xunfei Xinghuo, and Zh譜AI. 3. **Knowledge Base Construction**: Loading, processing, and vector database construction of different types of knowledge base documents. 4. **Building RAG Applications**: Integrating LLM into LangChain to build a retrieval question and answer chain, and deploying applications using Streamlit. 5. **Verification and Iteration**: How to implement verification and iteration in large model development, and common evaluation methods. The project consists of three main parts: 1. **Introduction to LLM Development**: A simplified version of V1 aims to help beginners get started with LLM development quickly and conveniently, understand the general process of LLM development, and build a simple demo. 2. **LLM Development Techniques**: More advanced LLM development techniques, including but not limited to: Prompt Engineering, processing of multiple types of source data, optimizing retrieval, recall ranking, Agent framework, etc. 3. **LLM Application Examples**: Introduce some successful open source cases, analyze the ideas, core concepts, and implementation frameworks of these application examples from the perspective of this course, and help beginners understand what kind of applications they can develop through LLM. Currently, the first part has been completed, and everyone is welcome to read and learn; the second and third parts are under creation. **Directory Structure Description**: requirements.txt: Installation dependencies in the official environment notebook: Notebook source code file docs: Markdown documentation file figures: Pictures data_base: Knowledge base source file used

Awesome LLM Courses is a curated list of online courses focused on Large Language Models (LLMs). The repository aims to provide a comprehensive collection of free available courses covering various aspects of LLMs, including fundamentals, engineering, and applications. The courses are suitable for individuals interested in natural language processing, AI development, and machine learning. The list includes courses from reputable platforms such as Hugging Face, Udacity, DeepLearning.AI, Cohere, DataCamp, and more, offering a wide range of topics from pretraining LLMs to building AI applications with LLMs. Whether you are a beginner looking to understand the basics of LLMs or an intermediate developer interested in advanced topics like prompt engineering and generative AI, this repository has something for everyone.

Agenta is an open-source LLM developer platform for prompt engineering, evaluation, human feedback, and deployment of complex LLM applications. It provides tools for prompt engineering and management, evaluation, human annotation, and deployment, all without imposing any restrictions on your choice of framework, library, or model. Agenta allows developers and product teams to collaborate in building production-grade LLM-powered applications in less time.

BAML is a config file format for declaring LLM functions that you can then use in TypeScript or Python. With BAML you can Classify or Extract any structured data using Anthropic, OpenAI or local models (using Ollama) ## Resources  [Discord Community](https://discord.gg/boundaryml)  [Follow us on Twitter](https://twitter.com/boundaryml) * Discord Office Hours - Come ask us anything! We hold office hours most days (9am - 12pm PST). * Documentation - Learn BAML * Documentation - BAML Syntax Reference * Documentation - Prompt engineering tips * Boundary Studio - Observability and more #### Starter projects * BAML + NextJS 14 * BAML + FastAPI + Streaming ## Motivation Calling LLMs in your code is frustrating: * your code uses types everywhere: classes, enums, and arrays * but LLMs speak English, not types BAML makes calling LLMs easy by taking a type-first approach that lives fully in your codebase: 1. Define what your LLM output type is in a .baml file, with rich syntax to describe any field (even enum values) 2. Declare your prompt in the .baml config using those types 3. Add additional LLM config like retries or redundancy 4. Transpile the .baml files to a callable Python or TS function with a type-safe interface. (VSCode extension does this for you automatically). We were inspired by similar patterns for type safety: protobuf and OpenAPI for RPCs, Prisma and SQLAlchemy for databases. BAML guarantees type safety for LLMs and comes with tools to give you a great developer experience:  Jump to BAML code or how Flexible Parsing works without additional LLM calls. | BAML Tooling | Capabilities | | ----------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | BAML Compiler install | Transpiles BAML code to a native Python / Typescript library (you only need it for development, never for releases) Works on Mac, Windows, Linux  | | VSCode Extension install | Syntax highlighting for BAML files Real-time prompt preview Testing UI | | Boundary Studio open (not open source) | Type-safe observability Labeling |

Dewhale is a GitHub-Powered AI tool designed for effortless development. It utilizes prompt engineering techniques under the GPT-4 model to issue commands, allowing users to generate code with lower usage costs and easy customization. The tool seamlessly integrates with GitHub, providing version control, code review, and collaborative features. Users can join discussions on the design philosophy of Dewhale and explore detailed instructions and examples for setting up and using the tool.

llm-resources is a repository providing resources to get started with Large Language Models (LLMs). It includes videos on Neural Networks and LLMs, free courses, prompt engineering guides, explored frameworks, AI assistants, and tips on making RAG work properly. The repository also contains important links and updates related to LLMs, AWS, RAG, agents, model context protocol, and more. It aims to help individuals with a basic understanding of NLP and programming knowledge to explore and utilize LLMs effectively.

This repository introduces and helps organizations get started with building AI Apps and incorporating Large Language Models (LLMs) into them. The workshop covers topics such as prompt engineering, AI orchestration, and deploying AI apps. Participants will learn how to use Azure OpenAI, Langchain/ Semantic Kernel, Qdrant, and Azure AI Search to build intelligent applications.

This repository is part of the Certified Cloud Native Applied Generative AI Engineer program, focusing on the fundamentals of Prompt Engineering, Docker, GitHub, and Modern Python Programming. It covers the basics of GenAI, Linux, Docker, VSCode, Devcontainer, and GitHub. The main emphasis is on mastering Modern Python with Typing, using ChatGPT as a Personal Python Coding Mentor. The course material includes tools installation, study materials, and projects related to Python development in Docker containers and GitHub usage.

This repository contains course materials for T81 559: Applications of Generative Artificial Intelligence at Washington University in St. Louis. The course covers practical applications of Large Language Models (LLMs) and text-to-image networks using Python. Students learn about generative AI principles, LangChain, Retrieval-Augmented Generation (RAG) model, image generation techniques, fine-tuning neural networks, and prompt engineering. Ideal for students, researchers, and professionals in computer science, the course offers a transformative learning experience in the realm of Generative AI.

Single File Agents (SFA) is a collection of powerful single-file agents built on top of uv, a modern Python package installer and resolver. These agents aim to perform specific tasks efficiently, demonstrating precise prompt engineering and GenAI patterns. The repository contains agents built across major GenAI providers like Gemini, OpenAI, and Anthropic. Each agent is self-contained, minimal, and built on modern Python for fast and reliable dependency management. Users can run these scripts from their server or directly from a gist. The agents are patternful, emphasizing the importance of setting up effective prompts, tools, and processes for reusability.

ABigSurveyOfLLMs is a repository that compiles surveys on Large Language Models (LLMs) to provide a comprehensive overview of the field. It includes surveys on various aspects of LLMs such as transformers, alignment, prompt learning, data management, evaluation, societal issues, safety, misinformation, attributes of LLMs, efficient LLMs, learning methods for LLMs, multimodal LLMs, knowledge-based LLMs, extension of LLMs, LLMs applications, and more. The repository aims to help individuals quickly understand the advancements and challenges in the field of LLMs through a collection of recent surveys and research papers.

Azure OpenAI Service provides REST API access to OpenAI's powerful language models including GPT-3, Codex and Embeddings. Users can easily adapt models for content generation, summarization, semantic search, and natural language to code translation. The workshop covers basics, prompt engineering, common NLP tasks, generative tasks, conversational dialog, and learning methods. It guides users to build applications with PowerApp, query SQL data, create data pipelines, and work with proprietary datasets. Target audience includes Power Users, Software Engineers, Data Scientists, and AI architects and Managers.

Notes on AI state of the art, with a focus on generative and large language models. These are the "raw materials" for the https://lspace.swyx.io/ newsletter. This repo used to be called https://github.com/sw-yx/prompt-eng, but was renamed because Prompt Engineering is Overhyped. This is now an AI Engineering notes repo.

プロンプトを、分かりやすく / 軽量化

Powered by GPT-4 Turbo. 128,000 Tokens. Knowledge base of Discrete Math concepts, proofs and terminology. This GPT is instructed to carefully read and understand the prompt, plan a strategy to solve the problem, and write formal mathematical proofs.

This prompt is designed to act as an expert psychologist in personality analysis, using three different psychological models: the Big Five Factor model, the Myers-Briggs Sixteen Types model, and the Enneagram model.

Ihr persönlicher Promptprofessor für juristische Prompts mit Beispielen und zusätzlichen Ressourcen

Summarizes academic books by chapters or segments, with user prompts.

The KQL Query Helper GPT is tailored specifically for assisting users with Kusto Query Language (KQL) queries. It leverages extensive knowledge from Azure Data Explorer documentation to aid users in understanding, reviewing, and creating new KQL queries based on their prompts.

I explain complex topics in simple, fun ways, like you're 5!

Helps understand North Andover's wetland regulations

Understand consent requirements and use of the easyConsent app.

This GPT helps you understand and apply the MITRE ATT&CK Framework, whether you are familiar with the concepts or not.

Understand the correct credit card to use to maximize your reward points.

Helps you understand those confusing ass old dudes and dudettes

A GPT that explains research methods in a language that everyone can easily understand.

Our aim is to understand your unique needs intimately, providing customized commendations that sincerely convey your appreciation and recognition. Moreover, we will design and match the most suitable images to accompany the sentiment of your praise, enhancing the impact visually.

An easy to understand wizard that guides you through questions about how to protect, back up and inherit essential digital information and assets such as crypto seed phrases, private keys, digital art, wallets, IDs, health and insurance information for you and your family.

i help u understand the lingo & the latest memes.

Guide to create and understand GPTs, with latest insights and practical tips.

Easy-to-understand guidance for non-profits in crafting impactful press releases.

Helps beginners understand DirectX 12 concepts and terminology

Helps beginners understand Vulkan concepts and terminology