Best AI tools for< Write Tutorials >
20 - AI tool Sites

Dubble
Dubble is a free tool that helps you create step-by-step guides, tutorials, and onboarding resources for your processes. It uses AI to watch how you work and translate your actions into written instructions and screenshots. This makes it easy to document your processes without having to write anything yourself.

Writetone
Writetone is an AI-powered writing assistant that helps users write in a variety of tones, from formal to informal, persuasive to informative, and creative to engaging. It offers a range of features to help users improve their writing skills, including a paraphrasing tool, co-writer, summarizer, grammar checker, text-to-voice tool, and subject matter expert. Writetone is available as a Chrome extension and MS Word add-in, and it offers a variety of resources to help users get started, including blogs, guides, tutorials, and free templates.

The Prompt Engineering Institute
The Prompt Engineering Institute is an online resource for learning about prompt engineering, the process of creating prompts that guide AI models to generate desired outputs. The website offers a variety of tutorials, articles, and tools to help users learn how to write effective prompts for a variety of AI models, including language models, image generators, and code generators. The website also provides a community forum where users can ask questions, share tips, and collaborate on prompt engineering projects.

School Psych AI
School Psych AI is an AI application designed to assist school psychologists in their daily tasks. It offers tools to save time on evaluations, report writing, and providing support to students. The application aims to streamline processes, reduce stress, and allow psychologists to focus on what truly matters: their students. With features like Sophia Report Writer and professional development services, School Psych AI caters to the specific needs of school psychologists, helping them work efficiently and effectively.

How to Leverage AI
How to Leverage AI is a platform dedicated to helping individuals and businesses harness the power of artificial intelligence to make money online. The website provides valuable insights, guides, and resources on leveraging AI for various purposes such as self-publishing, creating children's books, making YouTube shorts, writing text, and more. With a focus on practical applications and proven methods, How to Leverage AI aims to empower users to unlock the infinite potential of AI in their endeavors.

Ordinary Prompts
Ordinary Prompts is a tool that helps users create better prompts for ChatGPT and other AI language models. It provides a library of pre-written prompts that can be used for a variety of tasks, such as generating creative content, getting help with coding, and writing emails. Ordinary Prompts also includes a number of features that make it easy to customize prompts and track your progress.

Bubble
Bubble is a visual programming platform that allows users to create web applications without needing to write code. It offers a wide range of features such as data management, logic creation, collaboration tools, integrations, and security measures. Users can build complex applications using Bubble's intuitive drag-and-drop interface. The platform also provides resources like an academy, ideaboard, and product design tools to support users in their app development journey.

Maester
Maester is an intuitive Template Engine that unlocks the full potential of GPT-3. With Maester, you can quickly generate custom output tailored to your repeated needs and share them with the world. Maester offers a variety of templates to choose from, including: - Tutorial Generator - Twitter Thread Generator - Code Generator - Blog Generator - Post Idea Generator - SQL Generator - Study Plan Generator - Grammar Checker - Names Generator

AllThingsAI
AllThingsAI is a website that provides resources and information about artificial intelligence (AI) tools. It offers a directory of AI tools, tutorials on how to use AI tools, and articles about the latest trends in AI. AllThingsAI's mission is to help people find and use the best AI tools to improve their productivity and creativity.

Toolify
Toolify is a comprehensive AI tools directory that provides a curated collection of over 11,609 AI tools and 1,000 GPTs. The platform is updated daily by ChatGPT, ensuring that users have access to the latest and most relevant AI solutions. Toolify categorizes AI tools into 233 categories, making it easy for users to find the right tool for their specific needs. The platform also offers a variety of resources, including articles, tutorials, and webinars, to help users learn about AI and how to use it effectively. With its user-friendly interface and extensive database, Toolify is an essential resource for anyone looking to explore the world of AI.

DecodeAI
DecodeAI is a platform that showcases various AI applications and tools. It features a blog that covers AI-related topics, open-source repositories, and innovative AI projects. The platform aims to bridge the gap between AI technology and human users by providing valuable insights, tutorials, and resources in the field of artificial intelligence.

Yuzuu.co
Yuzuu.co is an AI tool designed to help users learn and master AI techniques to grow and scale their businesses. The platform offers step-by-step video tutorials on building AI agents for tasks such as SEO, content writing, sales, and more. Users can access a variety of tools to automate workflows and boost productivity. Yuzuu.co caters to both beginners and experts, providing free tutorials without any paywall. The platform aims to deliver value and change the way users work by empowering them to create their own AI agents.

aiMusician
aiMusician is an online AI music generator that allows users to create their own music. The website features a variety of tools and features that make it easy for users to create music, even if they have no musical experience. With aiMusician, users can create songs in a variety of genres, including rock, pop, electronic, and hip-hop. The website also offers a variety of tutorials and resources to help users get started.

Civitai
Civitai is an open-source generative AI platform that allows users to create images, videos, posts, articles, and bounties. It also provides a virtual canvas where users can unleash their creativity or get inspired by others. Civitai is a community-driven platform that offers a variety of resources for users, including tutorials, guides, and analysis on particular topics.

GPTs.Fan
GPTs.Fan is a comprehensive platform dedicated to GPT designers, providing a wealth of resources and support. It offers a vibrant community forum where designers can connect, share knowledge, and collaborate on projects. Additionally, GPTs.Fan features a curated collection of GPT-related tools, tutorials, and articles, empowering designers to stay up-to-date with the latest advancements in the field.

Wizardshot
Wizardshot is an AI-powered web application and Chrome extension that enables users to effortlessly create step-by-step tutorials by capturing their screen. It offers a seamless integration into your workflow, allowing you to save time, increase productivity, and share knowledge with ease. With features like knowledge base integration, export to PDF & DOC, privacy settings, and analytics, Wizardshot serves as your magic wand for instant tutorial creation. The application prioritizes data security through industry-standard encryption methods and access controls, ensuring the safety of your information.

aiwizard
aiwizard is the leading AI tool hub that unveils the magic of AI through its spellbook spells, step-by-step tutorials, and in-depth reviews of over 879 AI tools. It provides a comprehensive AI tools directory with over 879 AI tools in 110+ categories, offering in-depth reviews and step-by-step tutorials for each tool. Additionally, aiwizard hosts an AI events calendar to help users find suitable AI-related events, conferences, hackathons, and live training sessions. Through its newsletter, aiwizard keeps subscribers updated with the latest AI news and cool new tools. Furthermore, aiwizard offers a directory of over 190 AI tool directories where users can submit their AI tools to enhance their domain authority, increase clicks, and improve search rankings.

RecordOnce
RecordOnce is an AI-powered tool that enables users to create video tutorials in minutes. The tool utilizes AI to edit, translate, and fix mistakes in recorded videos, providing users with a seamless and efficient video creation experience. With features like automatic editing, voice-overs, text guides, and background music, RecordOnce simplifies the video creation process and allows users to focus on creating high-quality tutorials. The tool's advanced capabilities include automatic translations, custom AI training, and instant updates, making it a valuable asset for individuals and teams looking to create professional video content quickly and easily.

Docai
Docai is an AI-powered documentation tool that allows users to easily create high-quality instructional videos and how-to articles. By recording your screen and camera with the help of the Docai Chrome Extension, you can quickly generate comprehensive documentation using AI technology. Docai offers features such as studio-quality video production, auto-transcription, video editing capabilities, AI voice narrator, document templates, and collaborative editing. With key integrations, browser extensions, and a robust API, Docai can be seamlessly integrated into various workflows to streamline the documentation process.

Kudra
Kudra is an AI-powered data extraction tool that offers dedicated solutions for finance, human resources, logistics, legal, and more. It effortlessly extracts critical data fields, tables, relationships, and summaries from various documents, transforming unstructured data into actionable insights. Kudra provides customizable AI models, seamless integrations, and secure document processing while supporting over 20 languages. With features like custom workflows, model training, API integration, and workflow builder, Kudra aims to streamline document processing for businesses of all sizes.
20 - Open Source AI Tools

nobodywho
NobodyWho is a plugin for the Godot game engine that enables interaction with local LLMs for interactive storytelling. Users can install it from Godot editor or GitHub releases page, providing their own LLM in GGUF format. The plugin consists of `NobodyWhoModel` node for model file, `NobodyWhoChat` node for chat interaction, and `NobodyWhoEmbedding` node for generating embeddings. It offers a programming interface for sending text to LLM, receiving responses, and starting the LLM worker.

quantalogic
QuantaLogic is a ReAct framework for building advanced AI agents that seamlessly integrates large language models with a robust tool system. It aims to bridge the gap between advanced AI models and practical implementation in business processes by enabling agents to understand, reason about, and execute complex tasks through natural language interaction. The framework includes features such as ReAct Framework, Universal LLM Support, Secure Tool System, Real-time Monitoring, Memory Management, and Enterprise Ready components.

tutorials
H2O.ai's AI Tutorials aim to democratize open source, distributed machine learning by providing step-by-step tutorials for individuals of all skill levels. These tutorials are developed and maintained on Github and published on the H2O.ai Self-Paced Courses Landing Page. Users can begin their AI journey by exploring the tutorials available on the landing page and can contribute by fixing issues, updating tutorials, or creating new ones.

chatgpt-universe
ChatGPT is a large language model that can generate human-like text, translate languages, write different kinds of creative content, and answer your questions in a conversational way. It is trained on a massive amount of text data, and it is able to understand and respond to a wide range of natural language prompts. Here are 5 jobs suitable for this tool, in lowercase letters: 1. content writer 2. chatbot assistant 3. language translator 4. creative writer 5. researcher

learn-modern-ai-python
This repository is part of the Certified Agentic & Robotic AI Engineer program, covering the first quarter of the course work. It focuses on Modern AI Python Programming, emphasizing static typing for robust and scalable AI development. The course includes modules on Python fundamentals, object-oriented programming, advanced Python concepts, AI-assisted Python programming, web application basics with Python, and the future of Python in AI. Upon completion, students will be able to write proficient Modern Python code, apply OOP principles, implement asynchronous programming, utilize AI-powered tools, develop basic web applications, and understand the future directions of Python in AI.

deepdoctection
**deep** doctection is a Python library that orchestrates document extraction and document layout analysis tasks using deep learning models. It does not implement models but enables you to build pipelines using highly acknowledged libraries for object detection, OCR and selected NLP tasks and provides an integrated framework for fine-tuning, evaluating and running models. For more specific text processing tasks use one of the many other great NLP libraries. **deep** doctection focuses on applications and is made for those who want to solve real world problems related to document extraction from PDFs or scans in various image formats. **deep** doctection provides model wrappers of supported libraries for various tasks to be integrated into pipelines. Its core function does not depend on any specific deep learning library. Selected models for the following tasks are currently supported: * Document layout analysis including table recognition in Tensorflow with **Tensorpack**, or PyTorch with **Detectron2**, * OCR with support of **Tesseract**, **DocTr** (Tensorflow and PyTorch implementations available) and a wrapper to an API for a commercial solution, * Text mining for native PDFs with **pdfplumber**, * Language detection with **fastText**, * Deskewing and rotating images with **jdeskew**. * Document and token classification with all LayoutLM models provided by the **Transformer library**. (Yes, you can use any LayoutLM-model with any of the provided OCR-or pdfplumber tools straight away!). * Table detection and table structure recognition with **table-transformer**. * There is a small dataset for token classification available and a lot of new tutorials to show, how to train and evaluate this dataset using LayoutLMv1, LayoutLMv2, LayoutXLM and LayoutLMv3. * Comprehensive configuration of **analyzer** like choosing different models, output parsing, OCR selection. Check this notebook or the docs for more infos. * Document layout analysis and table recognition now runs with **Torchscript** (CPU) as well and **Detectron2** is not required anymore for basic inference. * [**new**] More angle predictors for determining the rotation of a document based on **Tesseract** and **DocTr** (not contained in the built-in Analyzer). * [**new**] Token classification with **LiLT** via **transformers**. We have added a model wrapper for token classification with LiLT and added a some LiLT models to the model catalog that seem to look promising, especially if you want to train a model on non-english data. The training script for LayoutLM can be used for LiLT as well and we will be providing a notebook on how to train a model on a custom dataset soon. **deep** doctection provides on top of that methods for pre-processing inputs to models like cropping or resizing and to post-process results, like validating duplicate outputs, relating words to detected layout segments or ordering words into contiguous text. You will get an output in JSON format that you can customize even further by yourself. Have a look at the **introduction notebook** in the notebook repo for an easy start. Check the **release notes** for recent updates. **deep** doctection or its support libraries provide pre-trained models that are in most of the cases available at the **Hugging Face Model Hub** or that will be automatically downloaded once requested. For instance, you can find pre-trained object detection models from the Tensorpack or Detectron2 framework for coarse layout analysis, table cell detection and table recognition. Training is a substantial part to get pipelines ready on some specific domain, let it be document layout analysis, document classification or NER. **deep** doctection provides training scripts for models that are based on trainers developed from the library that hosts the model code. Moreover, **deep** doctection hosts code to some well established datasets like **Publaynet** that makes it easy to experiment. It also contains mappings from widely used data formats like COCO and it has a dataset framework (akin to **datasets** so that setting up training on a custom dataset becomes very easy. **This notebook** shows you how to do this. **deep** doctection comes equipped with a framework that allows you to evaluate predictions of a single or multiple models in a pipeline against some ground truth. Check again **here** how it is done. Having set up a pipeline it takes you a few lines of code to instantiate the pipeline and after a for loop all pages will be processed through the pipeline.

ivy
Ivy is an open-source machine learning framework that enables you to: * 🔄 **Convert code into any framework** : Use and build on top of any model, library, or device by converting any code from one framework to another using `ivy.transpile`. * ⚒️ **Write framework-agnostic code** : Write your code once in `ivy` and then choose the most appropriate ML framework as the backend to leverage all the benefits and tools. Join our growing community 🌍 to connect with people using Ivy. **Let's** unify.ai **together 🦾**

ai_all_resources
This repository is a compilation of excellent ML and DL tutorials created by various individuals and organizations. It covers a wide range of topics, including machine learning fundamentals, deep learning, computer vision, natural language processing, reinforcement learning, and more. The resources are organized into categories, making it easy to find the information you need. Whether you're a beginner or an experienced practitioner, you're sure to find something valuable in this repository.

ivy
Ivy is an open-source machine learning framework that enables users to convert code between different ML frameworks and write framework-agnostic code. It allows users to transpile code from one framework to another, making it easy to use building blocks from different frameworks in a single project. Ivy also serves as a flexible framework that breaks free from framework limitations, allowing users to publish code that is interoperable with various frameworks and future frameworks. Users can define trainable modules and layers using Ivy's stateful API, making it easy to build and train models across different backends.

polyfire-js
Polyfire is an all-in-one managed backend for AI apps that allows users to build AI applications directly from the frontend, eliminating the need for a separate backend. It simplifies the process by providing most backend services in just a few lines of code. With Polyfire, users can easily create chatbots, transcribe audio files, generate simple text, manage long-term memory, and generate images. The tool also offers starter guides and tutorials to help users get started quickly and efficiently.

polyfire-js
Polyfire is an all-in-one managed backend for AI apps that allows users to build AI apps directly from the frontend, eliminating the need for a separate backend. It simplifies the process by providing most backend services in just a few lines of code. With Polyfire, users can easily create chatbots, transcribe audio files to text, generate simple text, create a long-term memory, and generate images with Dall-E. The tool also offers starter guides and tutorials to help users get started quickly and efficiently.

aps-toolkit
APS Toolkit is a powerful tool for developers, software engineers, and AI engineers to explore Autodesk Platform Services (APS). It allows users to read, download, and write data from APS, as well as export data to various formats like CSV, Excel, JSON, and XML. The toolkit is built on top of Autodesk.Forge and Newtonsoft.Json, offering features such as reading SVF models, querying properties database, exporting data, and more.

generative-ai-with-javascript
The 'Generative AI with JavaScript' repository is a comprehensive resource hub for JavaScript developers interested in delving into the world of Generative AI. It provides code samples, tutorials, and resources from a video series, offering best practices and tips to enhance AI skills. The repository covers the basics of generative AI, guides on building AI applications using JavaScript, from local development to deployment on Azure, and scaling AI models. It is a living repository with continuous updates, making it a valuable resource for both beginners and experienced developers looking to explore AI with JavaScript.

rl
TorchRL is an open-source Reinforcement Learning (RL) library for PyTorch. It provides pytorch and **python-first** , low and high level abstractions for RL that are intended to be **efficient** , **modular** , **documented** and properly **tested**. The code is aimed at supporting research in RL. Most of it is written in python in a highly modular way, such that researchers can easily swap components, transform them or write new ones with little effort.

tank-royale
Robocode Tank Royale is a programming game where the goal is to code a bot in the form of a virtual tank to compete against other bots in a virtual battle arena. The player is the programmer of a bot, who will have no direct influence on the game him/herself. Instead, the player must write a program with the logic for the brain of the bot. The program contains instructions to the bot about how it should move, scan for opponent bots, fire its gun, and how it should react to various events occurring during a battle. The name **Robocode** is short for "Robot code," which originates from the original/first version of the game. **Robocode Tank Royale** is the next evolution/version of the game, where bots can participate via the Internet/network. All bots run over a web socket. The game aims to help you learn how to program and improve your programming skills, and have fun while doing it. Robocode is also useful when studying or improving machine learning in a fast-running real-time game. Robocode's battles take place on a "battlefield," where bots fight it out until only one is left, like a Battle Royale game. Hence the name **Tank Royale**. Note that Robocode contains no gore, blood, people, and politics. The battles are simply for the excitement of the competition we appreciate so much.

Awesome-LLM
Awesome-LLM is a curated list of resources related to large language models, focusing on papers, projects, frameworks, tools, tutorials, courses, opinions, and other useful resources in the field. It covers trending LLM projects, milestone papers, other papers, open LLM projects, LLM training frameworks, LLM evaluation frameworks, tools for deploying LLM, prompting libraries & tools, tutorials, courses, books, and opinions. The repository provides a comprehensive overview of the latest advancements and resources in the field of large language models.

Trace
Trace is a new AutoDiff-like tool for training AI systems end-to-end with general feedback. It generalizes the back-propagation algorithm by capturing and propagating an AI system's execution trace. Implemented as a PyTorch-like Python library, users can write Python code directly and use Trace primitives to optimize certain parts, similar to training neural networks.

gemma
Gemma is a family of open-weights Large Language Model (LLM) by Google DeepMind, based on Gemini research and technology. This repository contains an inference implementation and examples, based on the Flax and JAX frameworks. Gemma can run on CPU, GPU, and TPU, with model checkpoints available for download. It provides tutorials, reference implementations, and Colab notebooks for tasks like sampling and fine-tuning. Users can contribute to Gemma through bug reports and pull requests. The code is licensed under the Apache License, Version 2.0.

flo-ai
Flo AI is a Python framework that enables users to build production-ready AI agents and teams with minimal code. It allows users to compose complex AI architectures using pre-built components while maintaining the flexibility to create custom components. The framework supports composable, production-ready, YAML-first, and flexible AI systems. Users can easily create AI agents and teams, manage teams of AI agents working together, and utilize built-in support for Retrieval-Augmented Generation (RAG) and compatibility with Langchain tools. Flo AI also provides tools for output parsing and formatting, tool logging, data collection, and JSON output collection. It is MIT Licensed and offers detailed documentation, tutorials, and examples for AI engineers and teams to accelerate development, maintainability, scalability, and testability of AI systems.

julep
Julep is an advanced platform for creating stateful and functional AI apps powered by large language models. It offers features like statefulness by design, automatic function calling, production-ready deployment, cron-like asynchronous functions, 90+ built-in tools, and the ability to switch between different LLMs easily. Users can build AI applications without the need to write code for embedding, saving, and retrieving conversation history, and can connect to third-party applications using Composio. Julep simplifies the process of getting started with AI apps, whether they are conversational, functional, or agentic.
20 - OpenAI Gpts

Git commands
AI Git Commands Helper: Expertise in Git commands, branching, merge, rebase, and best practices tutorials.

Ask Oracle
Let me guide you with the most effective tools to tackle your how-to questions.

Write Better Emails at Work
Create professional, clear, and effective emails to improve team communication

Write a romance novel
Use this GPT to outline your romance novel: design your story, your characters, obstacles, stakes, twists, arena, etc… Then ask GPT to draft the chapters ❤️ (remember: you are the brain, GPT is just the hand. Stay creative, use this GPT as an author!)