Best AI tools for< Instruction Prompting >

LearnWorlds is an AI-powered Learning Management System (LMS) designed to help course creators build and sell online courses. It offers a wide range of features such as flexible course creation, AI assistant, interactive video, live sessions, assessment builder, survey builder, website builder, mobile app builder, pop-up builder, custom user roles, analytics & reports, white-label website, marketing tools, SCORM compatibility, checkout & payments, bundles & subscriptions, affiliate programs, and integrations. The platform caters to various industries and provides solutions for customer training, enterprise LMS, non-profit organizations, creators, coaching, fitness, finance, health, and employee training. LearnWorlds aims to provide engaging and effective training experiences through interactive videos, ebooks, assessments, and social-first learning environments. It also offers tools for building high-converting websites, profitable marketing funnels, white-label course platforms, and mobile apps. The platform is known for its versatility, ease of use, and extensive integrations with marketing tools.

Buddy.ai is an AI-powered early learning platform designed to teach English to children aged 3-7 in a playful and interactive way. The platform offers 1:1 voice-based learning games and lessons to help children develop essential skills for school success. With a focus on fun and personalized teaching, Buddy.ai provides a safe learning space free from ads and extra charges. The platform covers a wide range of subjects, including language, literacy, math, science, art, music, and more, following the U.S. educational system. Buddy.ai uses advanced voice recognition and AI technology to engage children in interactive lessons and games, promoting learning through storytelling, spaced repetition, and total physical response.

Mindwell is a platform designed to help individuals improve their mental well-being through various tools and resources. It offers a range of features such as guided meditation sessions, mood tracking, journaling prompts, and personalized recommendations based on user preferences. With a user-friendly interface, Mindwell aims to make mental health support accessible to everyone, promoting self-care and mindfulness practices. The platform is suitable for individuals looking to manage stress, anxiety, and improve their overall emotional wellness.

Attune Health Mobile App is an AI-enabled application that offers contactless measurement of vital signs such as blood pressure, oxygen saturation, HRV, stress levels, and Hemoglobin through a simple face scan. It provides users with an easy, fast, and affordable way to track their wellness markers using state-of-the-art technology and biomarker analysis. The app empowers individuals to take control of their health by offering real-time measurements and accurate results without the need for wearables. Attune Health also caters to corporations, promoting healthy teams and overall wellbeing for better productivity and satisfaction.

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.

MailMaestro is an AI email assistant that helps users write better emails faster, allowing them to be more productive and focus on important tasks. The company behind MailMaestro, Maestro Labs, acquired Flowrite, the AI writing division of Flow AI, in September 2024. The team behind Flowrite is now focusing on Flow AI, an advanced platform for AI teams to evaluate and improve LLM systems effortlessly. MailMaestro integrates Flowrite's capabilities to enhance email writing experience for users.

Canopy Directory is an AI tool designed specifically for educators. It provides a comprehensive directory of AI tools that can be used in educational settings. The platform aims to streamline the process of finding and utilizing AI tools for teaching and learning purposes. Educators can explore a wide range of tools categorized based on their functionalities and applications, making it easier to integrate AI technology into their teaching practices. Canopy Directory serves as a valuable resource for educators looking to enhance their teaching methods through the use of AI tools.

Google Gemma is a lightweight, state-of-the-art open language model (LLM) developed by Google. It is part of the same research used in the creation of Google's Gemini models. Gemma models come in two sizes, the 2B and 7B parameter versions, where each has a base (pre-trained) and instruction-tuned modifications. Gemma models are designed to be cross-device compatible and optimized for Google Cloud and NVIDIA GPUs. They are also accessible through Kaggle, Hugging Face, Google Cloud with Vertex AI or GKE. Gemma models can be used for a variety of applications, including text generation, summarization, RAG, and both commercial and research use.

DoubleO AIPURE AI DOUBLE .O. is an AI automation tool designed for non-developers to easily create powerful AI automations. The tool allows users to give simple instructions, connect tools, and let a team of highly-trained DoubleO AI agents automate complex tasks. It offers pre-built and custom workflows for various teams, such as Sales, Marketing, Product, and Operations. The tool integrates with popular tools like Intercom, Slack, Salesforce, and more, ensuring data security and privacy with end-to-end encryption and compliance with data security standards. Users can benefit from features like automating pre-call prep, analyzing customer feedback, creating launch plans, and maintaining roadmaps.

OdiaGenAI is a collaborative initiative focused on conducting research on Generative AI and Large Language Models (LLM) for the Odia Language. The project aims to leverage AI technology to develop Generative AI and LLM-based solutions for the overall development of Odisha and the Odia language through collaboration among Odia technologists. The initiative offers pre-trained models, codes, and datasets for non-commercial and research purposes, with a focus on building language models for Indic languages like Odia and Bengali.

Diffit is an AI-powered educational tool designed to provide learning resources for teachers and students. It helps teachers create customized, grade-level content by generating standards-aligned resources from scratch. With features like text re-leveling, vocabulary customization, and question addition, Diffit aims to make instructional materials accessible to all students. The application offers a library of high-quality, student-ready exports to facilitate the teaching process. Testimonials from educators highlight the tool's effectiveness in differentiating instruction and engaging students across various subjects.

Grow with Google is an AI tool designed to provide training and resources to help individuals boost their productivity and skills in various fields such as cybersecurity, data analytics, digital marketing, IT support, project management, UX design, and AI essentials. The platform offers online courses, tools, and professional certificates to help users develop ideas, make informed decisions, and enhance their daily work tasks using generative AI tools. With a focus on career growth and business development, Grow with Google aims to empower individuals with essential AI skills to succeed in today's competitive job market.

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.

Cognii is an AI-based educational technology provider that offers solutions for K-12, higher education, and corporate training markets. Their award-winning EdTech product enables personalized learning, intelligent tutoring, open response assessments, and rich analytics. Cognii's Virtual Learning Assistant engages students in chatbot-style conversations, providing instant feedback, personalized hints, and guiding towards mastery. The platform aims to deliver 21st-century online education with superior learning outcomes and cost efficiency.

Breakout Learning is an AI-powered educational platform that transforms traditional case studies into engaging, multifaceted experiences. It empowers professors with AI insights into small-group discussions, enabling them to customize lectures and foster deeper student comprehension. Students benefit from rich content, peer-led discussions, and AI assessment that provides personalized feedback and tracks their progress.

Undress App is an AI tool that allows users to nudify any person in a photo using AI technology. The application provides a 3-step instruction on how to achieve this, emphasizing the importance of photo quality and proper positioning of the person in the image. It discusses the ethical implications of using AI to undress individuals and highlights the creative and potentially harmful uses of such technology. Undress App aims to offer a platform for creative self-expression and entertainment while acknowledging the potential misuse of the tool.

The Cerebras API is a high-speed inferencing solution for AI model inference powered by Cerebras Wafer-Scale Engines and CS-3 systems. It offers developers access to two models: Meta’s Llama 3.1 8B and 70B models, which are instruction-tuned and suitable for conversational applications. The API provides low-latency solutions and invites developers to explore new possibilities in AI development.

Class Companion is an AI teaching assistant tool designed to provide instant coaching and AI feedback to students on their assignments. It helps improve student engagement and outcomes by offering multiple attempts, targeted help, and personalized feedback. The tool supports various subjects and grades, allowing teachers to save time on manual feedback and focus on lesson planning and individual instruction. With features like AI-generated content, in-depth reporting, and customizable rubrics, Class Companion aims to enhance student learning and comprehension.

DapperGPT is a user interface (UI) for ChatGPT that provides a better user experience and additional features. It offers an intuitive interface, AI-powered notes, a Chrome extension, smart search, the ability to pin favorites, image generation, character instruction prompts, and code generation. DapperGPT is free to use, but requires a valid OpenAI API key. Premium features are also available for purchase, which include additional customization options and cloud sync.

Promptmatic is a free Google Chrome extension that helps you bookmark, save, and organize your best ChatGPT prompt templates and GPTs all in one place. It also includes a smart prompt editor with built-in variable editor and 200+ role, instruction, style, and tone presets. With Promptmatic, you can easily create reusable prompt templates, save and bookmark GPTs and templates in folders, and access them whenever you need with a single click right inside your ChatGPT dashboard.

EasyInstruct is a Python package proposed as an easy-to-use instruction processing framework for Large Language Models (LLMs) like GPT-4, LLaMA, ChatGLM in your research experiments. EasyInstruct modularizes instruction generation, selection, and prompting, while also considering their combination and interaction.

This repository serves as a comprehensive guide for technical teams interested in developing conversational AI solutions using Retrieval-Augmented Generation (RAG) techniques. It covers theoretical knowledge and practical code implementations, making it suitable for individuals with a basic technical background. The content includes information on large language models (LLMs), transformers, prompt engineering, embeddings, vector stores, and various other key concepts related to conversational AI. The repository also provides hands-on examples for two different use cases, along with implementation details and performance analysis.

Awesome LLM compression research papers and tools to accelerate LLM training and inference.

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.

DataDreamer is a powerful open-source Python library designed for prompting, synthetic data generation, and training workflows. It is simple, efficient, and research-grade, allowing users to create prompting workflows, generate synthetic datasets, and train models with ease. The library is built for researchers, by researchers, focusing on correctness, best practices, and reproducibility. It offers features like aggressive caching, resumability, support for bleeding-edge techniques, and easy sharing of datasets and models. DataDreamer enables users to run multi-step prompting workflows, generate synthetic datasets for various tasks, and train models by aligning, fine-tuning, instruction-tuning, and distilling them using existing or synthetic data.

The 'awesome-deliberative-prompting' repository focuses on how to ask Large Language Models (LLMs) to produce reliable reasoning and make reason-responsive decisions through deliberative prompting. It includes success stories, prompting patterns and strategies, multi-agent deliberation, reflection and meta-cognition, text generation techniques, self-correction methods, reasoning analytics, limitations, failures, puzzles, datasets, tools, and other resources related to deliberative prompting. The repository provides a comprehensive overview of research, techniques, and tools for enhancing reasoning capabilities of LLMs.

Awesome_GPT_Super_Prompting is a repository that provides resources related to Jailbreaks, Leaks, Injections, Libraries, Attack, Defense, and Prompt Engineering. It includes information on ChatGPT Jailbreaks, GPT Assistants Prompt Leaks, GPTs Prompt Injection, LLM Prompt Security, Super Prompts, Prompt Hack, Prompt Security, Ai Prompt Engineering, and Adversarial Machine Learning. The repository contains curated lists of repositories, tools, and resources related to GPTs, prompt engineering, prompt libraries, and secure prompting. It also offers insights into Cyber-Albsecop GPT Agents and Super Prompts for custom GPT usage.

SoM-LLaVA is a new data source and learning paradigm for Multimodal LLMs, empowering open-source Multimodal LLMs with Set-of-Mark prompting and improved visual reasoning ability. The repository provides a new dataset that is complementary to existing training sources, enhancing multimodal LLMs with Set-of-Mark prompting and improved general capacity. By adding 30k SoM data to the visual instruction tuning stage of LLaVA, the tool achieves 1% to 6% relative improvements on all benchmarks. Users can train SoM-LLaVA via command line and utilize the implementation to annotate COCO images with SoM. Additionally, the tool can be loaded in Huggingface for further usage.

Prompt4ReasoningPapers is a repository dedicated to reasoning with language model prompting. It provides a comprehensive survey of cutting-edge research on reasoning abilities with language models. The repository includes papers, methods, analysis, resources, and tools related to reasoning tasks. It aims to support various real-world applications such as medical diagnosis, negotiation, etc.

Reflection-Tuning is a project focused on improving the quality of instruction-tuning data through a reflection-based method. It introduces Selective Reflection-Tuning, where the student model can decide whether to accept the improvements made by the teacher model. The project aims to generate high-quality instruction-response pairs by defining specific criteria for the oracle model to follow and respond to. It also evaluates the efficacy and relevance of instruction-response pairs using the r-IFD metric. The project provides code for reflection and selection processes, along with data and model weights for both V1 and V2 methods.

This repository, Awesome-LLM-Survey, serves as a comprehensive collection of surveys related to Large Language Models (LLM). It covers various aspects of LLM, including instruction tuning, human alignment, LLM agents, hallucination, multi-modal capabilities, and more. Researchers are encouraged to contribute by updating information on their papers to benefit the LLM survey community.

ROSGPT_Vision is a new robotic framework designed to command robots using only two prompts: a Visual Prompt for visual semantic features and an LLM Prompt to regulate robotic reactions. It is based on the Prompting Robotic Modalities (PRM) design pattern and is used to develop CarMate, a robotic application for monitoring driver distractions and providing real-time vocal notifications. The framework leverages state-of-the-art language models to facilitate advanced reasoning about image data and offers a unified platform for robots to perceive, interpret, and interact with visual data through natural language. LangChain is used for easy customization of prompts, and the implementation includes the CarMate application for driver monitoring and assistance.

WavCraft is an LLM-driven agent for audio content creation and editing. It applies LLM to connect various audio expert models and DSP function together. With WavCraft, users can edit the content of given audio clip(s) conditioned on text input, create an audio clip given text input, get more inspiration from WavCraft by prompting a script setting and let the model do the scriptwriting and create the sound, and check if your audio file is synthesized by WavCraft.

Awesome-LLMs-for-Video-Understanding is a repository dedicated to exploring Video Understanding with Large Language Models. It provides a comprehensive survey of the field, covering models, pretraining, instruction tuning, and hybrid methods. The repository also includes information on tasks, datasets, and benchmarks related to video understanding. Contributors are encouraged to add new papers, projects, and materials to enhance the repository.

LMOps is a research initiative focusing on fundamental research and technology for building AI products with foundation models, particularly enabling AI capabilities with Large Language Models (LLMs) and Generative AI models. The project explores various aspects such as prompt optimization, longer context handling, LLM alignment, acceleration of LLMs, LLM customization, and understanding in-context learning. It also includes tools like Promptist for automatic prompt optimization, Structured Prompting for efficient long-sequence prompts consumption, and X-Prompt for extensible prompts beyond natural language. Additionally, LLMA accelerators are developed to speed up LLM inference by referencing and copying text spans from documents. The project aims to advance technologies that facilitate prompting language models and enhance the performance of LLMs in various scenarios.

LLM-PLSE-paper is a repository focused on the applications of Large Language Models (LLMs) in Programming Language and Software Engineering (PL/SE) domains. It covers a wide range of topics including bug detection, specification inference and verification, code generation, fuzzing and testing, code model and reasoning, code understanding, IDE technologies, prompting for reasoning tasks, and agent/tool usage and planning. The repository provides a comprehensive collection of research papers, benchmarks, empirical studies, and frameworks related to the capabilities of LLMs in various PL/SE tasks.

LangBridge is a tool that bridges mT5 encoder and the target LM together using only English data. It enables models to effectively solve multilingual reasoning tasks without the need for multilingual supervision. The tool provides pretrained models like Orca 2, MetaMath, Code Llama, Llemma, and Llama 2 for various instruction-tuned and not instruction-tuned scenarios. Users can install the tool to replicate evaluations from the paper and utilize the models for multilingual reasoning tasks. LangBridge is particularly useful for low-resource languages and may lower performance in languages where the language model is already proficient.

SeaLLMs are a family of language models optimized for Southeast Asian (SEA) languages. They were pre-trained from Llama-2, on a tailored publicly-available dataset, which comprises texts in Vietnamese 🇻🇳, Indonesian 🇮🇩, Thai 🇹🇭, Malay 🇲🇾, Khmer🇰🇭, Lao🇱🇦, Tagalog🇵🇭 and Burmese🇲🇲. The SeaLLM-chat underwent supervised finetuning (SFT) and specialized self-preferencing DPO using a mix of public instruction data and a small number of queries used by SEA language native speakers in natural settings, which **adapt to the local cultural norms, customs, styles and laws in these areas**. SeaLLM-13b models exhibit superior performance across a wide spectrum of linguistic tasks and assistant-style instruction-following capabilities relative to comparable open-source models. Moreover, they outperform **ChatGPT-3.5** in non-Latin languages, such as Thai, Khmer, Lao, and Burmese.

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.

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.

Full step by step guidance and copy & paste text for developing assistants with specific use cases.

Write your GPT instructions, context, persona, constraints. The more detailed the better.

Write your role and get your tailored persona for a tailored ChatGPT instructions.

Teaches origami with step-by-step visual instructions and provides templates for various skill levels.

Send keywords and an overview of the video you want to make, and this bot will create invideoAI (AI Video Creator) instructions for you!

A GPT of the General Handbook of Instructions for the Church of Jesus Christ of Latter-day Saints.

Differentiation advice for English Learners / Developing Bilinguals. For K-12 Teachers. EL, ESL, ELL, Bilingual, Dual Language instruction. Click a prompt below to begin:

Choose your own Custom Instruction. Type 'Activate ...'

Refines GPT instruction sets for optimal performance

Simplify Any Instruction Manual

Give me a lesson and I can give you feedback based on Rosenshine's "Principles of Instruction"

I'm a Language Tutor Bot for beginner Korean learners, offering personalized, engaging instruction.

An experiment in personal FileMaker guidance from the collective works of lifetime award-winning FileMaker trainer, Cris Ippolite. Not just links to resources, but direct access to 20+ years of custom training curriculum combined with expert AI instruction without the noise of external web links.

Virtual tattoo instructor, friendly and professional, focused on personalized learning.

Helps write instructions for other GPTs!

Friendly UDL expert, myth-busting inclusively.

Provides comprehensive guidance on educational standards and assessments.

Yoga Guru with 500-hour YRT certification knowledge, creating custom yoga programs.

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