Best AI tools for< Design Instruction >

LessonPlans.ai is an AI-powered lesson plan generator that helps teachers create high-quality lesson plans in seconds. With this tool, teachers can easily generate detailed, personalized lesson plans that are tailored to their students' needs. LessonPlans.ai also includes a step-by-step guide for each lesson, making it easy for teachers to follow and implement the plan in their classrooms.

MIT Sloan Teaching & Learning Technologies connects MIT Sloan to research-driven best practices, resources, and training in instructional technology and design. They help the community make an impact in the classroom and beyond. They offer various services such as trainings, practice sessions, how-to guides, consultations, and a teaching studio. Their latest news and announcements include supporting learning with AI-generated images, providing students with access to Microsoft Copilot, and making Microsoft Copilot available for faculty and staff.

Educraft is an eLearning development and design platform that focuses on creating effective and meaningful training solutions for both corporate and academic markets. They follow a human-centric approach to deliver memorable learning experiences. Established in 2017, Educraft offers a range of articles, tutorials, and tools related to edtech, instructional design, eLearning, and AI.

The website is an AI tool designed to assist users in developing engaging courses. It utilizes artificial intelligence technology to enhance the course creation process, making it more efficient and effective. Users can leverage the AI capabilities to generate interactive and compelling course content, tailored to meet the needs of learners. The tool aims to streamline the course development workflow, providing users with valuable insights and suggestions to improve the overall learning experience.

AI Teaching Assistant Pro is a free, private, and confidential AI-powered tool developed by Contact North | Contact Nord. It serves as a personal teaching and instructional design assistant to help instructors with various tasks related to course creation and assessment. The tool offers enhanced assessment features, including the ability to easily draft multiple-choice tests and exams with AI-powered efficiency. Instructors can also generate ideas for course descriptions, outcomes, and syllabi with just a few clicks. AI Teaching Assistant Pro aims to streamline the teaching process and provide valuable support to educators.

Mindsmith is a next-gen eLearning authoring tool that leverages generative AI to streamline the process of creating and sharing learning content. It allows users to collaborate, customize, and fine-tune lessons with the assistance of AI, enabling rapid authoring and development of educational materials. With features like AI audio narration, content customization, and seamless integration with Learning Management Systems (LMS), Mindsmith empowers instructional designers to create engaging and personalized learning experiences efficiently.

Mindsmith is a next-generation eLearning authoring tool that leverages generative AI to streamline and expedite the creation and sharing of learning content. It empowers users to collaborate seamlessly, customize content to align with organizational needs, and seamlessly integrate with existing LMS platforms. Mindsmith's intuitive interface and AI-driven capabilities make it an invaluable asset for eLearning professionals seeking to enhance their productivity and deliver engaging learning experiences.

Soffos is an AI-powered platform designed to simplify the creation of learning materials by leveraging generative AI technology. It offers a Software Development Kit (SDK) and RESTful APIs for edtech developers to build custom AI applications without requiring specialized AI skills. Instructional designers can utilize the no-code Learning Toolkit or Soffos Chat to create personalized training materials. The platform aims to enhance the efficiency and effectiveness of learning and development processes through the seamless integration of AI capabilities.

Eduaide.Ai is an AI-driven platform designed to assist educators in creating lesson plans, teaching resources, and assessments. It offers features such as AI-assisted lesson planning, teaching resources generation, feedback bot, personalization tools, and assessment builder. The platform aims to streamline administrative tasks, provide personalized learning experiences, and enhance teaching efficiency through AI technology.

SketchPro is the world's first AI design assistant for architecture and design. It allows users to create realistic 3D models and visualizations from simple sketches, elevations, or images. SketchPro is powered by AI, which gives it the ability to understand natural language instructions and generate designs that are both accurate and visually appealing. With SketchPro, architects and designers can save time and effort, and explore more creative possibilities.

Devika AI is an open-source AI software engineer that can understand high-level human instructions, break them down into steps, research relevant information, and generate code for particular tasks. It uses Claude 3, GPT-4, GPT-3.5, and Local LLMs via Ollama.

LearningStudioAI is an AI-powered authoring tool that helps you create engaging and effective online courses. With LearningStudioAI, you can quickly and easily create interactive lessons, assessments, and simulations that are tailored to the needs of your learners. LearningStudioAI also provides a range of features to help you track your learners' progress and measure the effectiveness of your courses.

CourseMagic.ai is an AI-powered platform designed to assist educators in effortlessly generating high-quality courses by leveraging best practices in learning design. The platform allows users to customize courses for any level, import directly into Learning Management Systems (LMS), and offers a range of frameworks and taxonomies to enhance course structure and content. CourseMagic.ai aims to streamline the course creation process, reduce development time, and provide interactive activities and assessments to engage learners effectively.

RefinePic is an AI-powered platform that revolutionizes photo editing and interior design. Users can effortlessly transform any room or home by simply uploading a picture and describing their design preferences. The advanced AI technology interprets the instructions and generates stunning designs in seconds. With a user-friendly interface, RefinePic caters to individuals of all skill levels, from real estate agents to interior designers and content creators. Unleash your creativity and bring your visions to life with this innovative tool.

Wonda is an AI-powered platform that enables users to create immersive learning experiences and simulations. It offers a range of features such as AI companions, quiz and assessments, virtual tours, role-playing games, and virtual workshops. Users can easily build interactive learning journeys without the need for coding. Wonda aims to enhance engagement and collaboration in training and onboarding processes, making learning experiences unforgettable and impactful. The platform supports integration with various learning management systems and provides advanced role management options for secure sharing. With Wonda, users can unleash their creativity and build virtual exhibits to showcase their ideas and projects in a fun and engaging way.

eSkilled AI Course Creator is a powerful online course creation software that leverages artificial intelligence technology to enable users to build custom, interactive, and engaging online courses quickly and efficiently. The platform automates the course creation process, offers interactive content features, provides progression tracking capabilities, generates unique imagery, and supports mobile-friendly design. With eSkilled AI Course Creator, users can tailor courses to their audience, expand their reach to non-English speakers, and ensure consistent quality and depth throughout all content sections.

Aidemia is an ultimate teaching workflow toolkit that simplifies teaching using the power of 30 AI engines. It helps teachers from 48201 schools and institutions replace other AI tools. With Aidemia, teachers can reduce their workload by 90 minutes a day. It offers various features such as lesson plans, creative ideas, workflow automation, advice, quiz creator, restyling, homework, presentations, discussions, essay grading, stories, parent meetings, rewriting, plagiarism check, and more. Aidemia is used by leading teachers and institutions in 74 countries with a 96% teacher satisfaction rate.

Educator Lab is an AI-powered SaaS tool that helps educators generate compliant lesson plans, worksheets, and activities. With our platform, you can create PDF and Doc files for any grade, academic subject, and level, including general and adult education. Whether you're a teacher, administrator, or instructional designer, Educator Lab has everything you need to streamline your lesson planning process and improve student outcomes.

Teach Catalyst AI is an AI-powered teaching assistant designed to make teachers' work easier and more efficient. It offers a wide range of tools and templates to help teachers with tasks such as creating lesson plans, worksheets, quizzes, and student reports. Teach Catalyst AI also provides insights into teaching practices and helps teachers improve their classroom management skills. With Teach Catalyst AI, teachers can save time, reduce stress, and focus on what matters most: teaching.

ModelsLab is an AI tool that offers Text to Image and AI Voice Generator online. It provides resources for models, pricing, and enterprise solutions. Developers can access the API documentation and join the Discord community. ModelsLab enables users to build smart AI products for various applications, with features like Imagen AI Image Generation, Video Fusion, AudioGen, 3D Verse, Auto AI, and LLMaster. The platform has advantages such as easy image generation, enhanced audio and music creation, 3D model designing, productivity boost with AI, and language model integration. However, some disadvantages include limited features for certain tasks, potential learning curve, and availability of certain tools. The FAQ section covers common queries about image editing APIs, resolution quality, importance of image editing APIs, and applications of FaceGen API. ModelsLab is suitable for jobs like developers, game developers, instructional designers, digital marketing managers, and artists. Users can find the application using keywords like AI Image Generator, AI Voice Generator, Text to Image, Voice Cloning, and Language Model. Tasks that can be performed using ModelsLab include Generate Image, Create Video, Generate Audio, Design 3D Models, and Enhance Productivity.

RTL-Coder is a tool designed to outperform GPT-3.5 in RTL code generation by providing a fully open-source dataset and a lightweight solution. It targets Verilog code generation and offers an automated flow to generate a large labeled dataset with over 27,000 diverse Verilog design problems and answers. The tool addresses the data availability challenge in IC design-related tasks and can be used for various applications beyond LLMs. The tool includes four RTL code generation models available on the HuggingFace platform, each with specific features and performance characteristics. Additionally, RTL-Coder introduces a new LLM training scheme based on code quality feedback to further enhance model performance and reduce GPU memory consumption.

Taiyi (太一) is a bilingual large language model fine-tuned for diverse biomedical tasks. It aims to facilitate communication between healthcare professionals and patients, provide medical information, and assist in diagnosis, biomedical knowledge discovery, drug development, and personalized healthcare solutions. The model is based on the Qwen-7B-base model and has been fine-tuned using rich bilingual instruction data. It covers tasks such as question answering, biomedical dialogue, medical report generation, biomedical information extraction, machine translation, title generation, text classification, and text semantic similarity. The project also provides standardized data formats, model training details, model inference guidelines, and overall performance metrics across various BioNLP tasks.

Mentals AI is a tool designed for creating and operating agents that feature loops, memory, and various tools, all through straightforward markdown syntax. This tool enables you to concentrate solely on the agent’s logic, eliminating the necessity to compose underlying code in Python or any other language. It redefines the foundational frameworks for future AI applications by allowing the creation of agents with recursive decision-making processes, integration of reasoning frameworks, and control flow expressed in natural language. Key concepts include instructions with prompts and references, working memory for context, short-term memory for storing intermediate results, and control flow from strings to algorithms. The tool provides a set of native tools for message output, user input, file handling, Python interpreter, Bash commands, and short-term memory. The roadmap includes features like a web UI, vector database tools, agent's experience, and tools for image generation and browsing. The idea behind Mentals AI originated from studies on psychoanalysis executive functions and aims to integrate 'System 1' (cognitive executor) with 'System 2' (central executive) to create more sophisticated agents.

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.

DashInfer is a C++ runtime tool designed to deliver production-level implementations highly optimized for various hardware architectures, including x86 and ARMv9. It supports Continuous Batching and NUMA-Aware capabilities for CPU, and can fully utilize modern server-grade CPUs to host large language models (LLMs) up to 14B in size. With lightweight architecture, high precision, support for mainstream open-source LLMs, post-training quantization, optimized computation kernels, NUMA-aware design, and multi-language API interfaces, DashInfer provides a versatile solution for efficient inference tasks. It supports x86 CPUs with AVX2 instruction set and ARMv9 CPUs with SVE instruction set, along with various data types like FP32, BF16, and InstantQuant. DashInfer also offers single-NUMA and multi-NUMA architectures for model inference, with detailed performance tests and inference accuracy evaluations available. The tool is supported on mainstream Linux server operating systems and provides documentation and examples for easy integration and usage.

BigCodeBench is an easy-to-use benchmark for code generation with practical and challenging programming tasks. It aims to evaluate the true programming capabilities of large language models (LLMs) in a more realistic setting. The benchmark is designed for HumanEval-like function-level code generation tasks, but with much more complex instructions and diverse function calls. BigCodeBench focuses on the evaluation of LLM4Code with diverse function calls and complex instructions, providing precise evaluation & ranking and pre-generated samples to accelerate code intelligence research. It inherits the design of the EvalPlus framework but differs in terms of execution environment and test evaluation.

Friend is an open-source AI wearable device that records everything you say, gives you proactive feedback and advice. It has real-time AI audio processing capabilities, low-powered Bluetooth, open-source software, and a wearable design. The device is designed to be affordable and easy to use, with a total cost of less than $20. To get started, you can clone the repo, choose the version of the app you want to install, and follow the instructions for installing the firmware and assembling the device. Friend is still a prototype project and is provided "as is", without warranty of any kind. Use of the device should comply with all local laws and regulations concerning privacy and data protection.

OpenKF (Open Knowledge Flow) is an online intelligent customer service system. It is an open-source customer service system based on OpenIM, supporting LLM (Local Knowledgebase) customer service and multi-channel customer service. It is easy to integrate with third-party systems, deploy, and perform secondary development. The system provides features like login page, config page, dashboard page, platform page, and session page. Users can quickly get started with OpenKF by following the installation and run instructions. The architecture follows MVC design with a standardized directory structure. The community encourages involvement through community meetings, contributions, and development. OpenKF is licensed under the Apache 2.0 license.

Akeru.ai is an open-source AI platform leveraging the power of decentralization. It offers transparent, safe, and highly available AI capabilities. The platform aims to give developers access to open-source and transparent AI resources through its decentralized nature hosted on an edge network. Akeru API introduces features like retrieval, function calling, conversation management, custom instructions, data input optimization, user privacy, testing and iteration, and comprehensive documentation. It is ideal for creating AI agents and enhancing web and mobile applications with advanced AI capabilities. The platform runs on a Bittensor Subnet design that aims to democratize AI technology and promote an equitable AI future. Akeru.ai embraces decentralization challenges to ensure a decentralized and equitable AI ecosystem with security features like watermarking and network pings. The API architecture integrates with technologies like Bun, Redis, and Elysia for a robust, scalable solution.

MSCCL++ is a GPU-driven communication stack for scalable AI applications. It provides a highly efficient and customizable communication stack for distributed GPU applications. MSCCL++ redefines inter-GPU communication interfaces, delivering a highly efficient and customizable communication stack for distributed GPU applications. Its design is specifically tailored to accommodate diverse performance optimization scenarios often encountered in state-of-the-art AI applications. MSCCL++ provides communication abstractions at the lowest level close to hardware and at the highest level close to application API. The lowest level of abstraction is ultra light weight which enables a user to implement logics of data movement for a collective operation such as AllReduce inside a GPU kernel extremely efficiently without worrying about memory ordering of different ops. The modularity of MSCCL++ enables a user to construct the building blocks of MSCCL++ in a high level abstraction in Python and feed them to a CUDA kernel in order to facilitate the user's productivity. MSCCL++ provides fine-grained synchronous and asynchronous 0-copy 1-sided abstracts for communication primitives such as `put()`, `get()`, `signal()`, `flush()`, and `wait()`. The 1-sided abstractions allows a user to asynchronously `put()` their data on the remote GPU as soon as it is ready without requiring the remote side to issue any receive instruction. This enables users to easily implement flexible communication logics, such as overlapping communication with computation, or implementing customized collective communication algorithms without worrying about potential deadlocks. Additionally, the 0-copy capability enables MSCCL++ to directly transfer data between user's buffers without using intermediate internal buffers which saves GPU bandwidth and memory capacity. MSCCL++ provides consistent abstractions regardless of the location of the remote GPU (either on the local node or on a remote node) or the underlying link (either NVLink/xGMI or InfiniBand). This simplifies the code for inter-GPU communication, which is often complex due to memory ordering of GPU/CPU read/writes and therefore, is error-prone.

Awesome-Papers-Autonomous-Agent is a curated collection of recent papers focusing on autonomous agents, specifically interested in RL-based agents and LLM-based agents. The repository aims to provide a comprehensive resource for researchers and practitioners interested in intelligent agents that can achieve goals, acquire knowledge, and continually improve. The collection includes papers on various topics such as instruction following, building agents based on world models, using language as knowledge, leveraging LLMs as a tool, generalization across tasks, continual learning, combining RL and LLM, transformer-based policies, trajectory to language, trajectory prediction, multimodal agents, training LLMs for generalization and adaptation, task-specific designing, multi-agent systems, experimental analysis, benchmarking, applications, algorithm design, and combining with RL.

The Everything-LLMs-And-Robotics repository is the world's largest GitHub repository focusing on the intersection of Large Language Models (LLMs) and Robotics. It provides educational resources, research papers, project demos, and Twitter threads related to LLMs, Robotics, and their combination. The repository covers topics such as reasoning, planning, manipulation, instructions and navigation, simulation frameworks, perception, and more, showcasing the latest advancements in the field.

HuggingFists is a low-code data flow tool that enables convenient use of LLM and HuggingFace models. It provides functionalities similar to Langchain, allowing users to design, debug, and manage data processing workflows, create and schedule workflow jobs, manage resources environment, and handle various data artifact resources. The tool also offers account management for users, allowing centralized management of data source accounts and API accounts. Users can access Hugging Face models through the Inference API or locally deployed models, as well as datasets on Hugging Face. HuggingFists supports breakpoint debugging, branch selection, function calls, workflow variables, and more to assist users in developing complex data processing workflows.

A set of instructional materials, code samples and Python scripts featuring LLMs (GPT etc) through interfaces like llamaindex, langchain, Chroma (Chromadb), Pinecone etc. Mainly used to store reference code for my LangChain tutorials on YouTube.

This is the official repository for 'Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing'. Magpie is a tool designed to synthesize high-quality instruction data at scale by extracting it directly from an aligned Large Language Models (LLMs). It aims to democratize AI by generating large-scale alignment data and enhancing the transparency of model alignment processes. Magpie has been tested on various model families and can be used to fine-tune models for improved performance on alignment benchmarks such as AlpacaEval, ArenaHard, and WildBench.

REINVENT is a molecular design tool for de novo design, scaffold hopping, R-group replacement, linker design, molecule optimization, and other small molecule design tasks. It uses a Reinforcement Learning (RL) algorithm to generate optimized molecules compliant with a user-defined property profile defined as a multi-component score. Transfer Learning (TL) can be used to create or pre-train a model that generates molecules closer to a set of input molecules.

AI-Learning is a free e-book for neural network/deep learning teaching. In the first volume, you will initially learn about neural networks, deeply understand its essence and design principles, and improve it accordingly, ultimately putting it into simple practice. The book supports bilingual practice in JS/C++, equipped with a massive interactive Geogebra mathematical animation demonstration to help you learn neural networks in a simple and profound way. Join us for discussions and suggestions for modifications.

This project aims to create a real-life version of GLaDOS, an aware, interactive, and embodied AI entity. It involves training a voice generator, developing a 'Personality Core,' implementing a memory system, providing vision capabilities, creating 3D-printable parts, and designing an animatronics system. The software architecture focuses on low-latency voice interactions, utilizing a circular buffer for data recording, text streaming for quick transcription, and a text-to-speech system. The project also emphasizes minimal dependencies for running on constrained hardware. The hardware system includes servo- and stepper-motors, 3D-printable parts for GLaDOS's body, animations for expression, and a vision system for tracking and interaction. Installation instructions cover setting up the TTS engine, required Python packages, compiling llama.cpp, installing an inference backend, and voice recognition setup. GLaDOS can be run using 'python glados.py' and tested using 'demo.ipynb'.

This repository contains samples to help design AI applications using data from an Azure SQL Database. It showcases technical concepts and workflows integrating Azure SQL data with popular AI components both within and outside Azure. The samples cover various AI features such as Azure Cognitive Services, Promptflow, OpenAI, Vanna.AI, Content Moderation, LangChain, and more. Additionally, there are end-to-end samples like Similar Content Finder, Session Conference Assistant, Chatbots, Vectorization, SQL Server Database Development, Redis Vector Search, and Similarity Search with FAISS.

Expert on teaching, learning, and instructional tech.

Drawing from 2500 years of learning theorists from the 'Greeks to the Geeks', ask me anything on LEARNING THEORISTS , LEARNING THEORIES. and LEARNING TECHOLOGIES

Provides comprehensive guidance on educational standards and assessments.

Align lessons to Next Generation Science Standards

Crea situaciones de aprendizaje de acuerdo a los Currículos de Educacion Secundaria y Bachillerato de Asturias en el marco de la LOMLOE, para la especialidad, curso y temática proporcionados

I'm a Udemy course instructor, helping with course development and scripting.

Create comprehension questions based on a shared text. These questions will be designed to assess understanding at different levels of Bloom's taxonomy, from basic recall to more complex analytical and evaluative thinking skills.

A master of instructional design and technology.

Instructional design expert outputs.

Designs effective training materials to enhance organizational learning and performance.

Helps with course design and explains assessment methods.

Asistente especializado en diseño y planificación de formación profesional

A Learning Experience Designer (LXD) - in support of LXDs and those who work with them.

根据提供的资料设计教学内容。

Build new undergraduate degrees with ease

Asesor experto en creación de cursos, basado en DIGCOMP.

Elearning creator, instructor, script & storyboard guide

Expertin für Smart Learning und digitale Bildung

Generate, Evaluate, and Improve your Academic Programs

Align lessons to Common Core math standards