Best AI tools for< Instruction Generation >

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.

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.

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.

SearchGPT is an AI tool that offers a Spreadsheet Generator feature. Users can enter a prompt and generate a spreadsheet based on the given instructions. The tool can handle complicated spreadsheets, although they may take some time to generate. SearchGPT is designed to assist users in creating spreadsheets efficiently and accurately.

The Robot Code Generator by Pantheon Robotics is a web application that allows users to generate executable robot code from natural language. The tool is designed to simplify the process of creating code for a generic robot based on a physical proof-of-concept, such as a car. By inputting instructions in plain language, users can quickly generate the necessary code for the robot to perform specific tasks. The application is powered by advanced AI technologies, including GPT-4 and Vercel AI SDK, to enhance code generation accuracy and efficiency.

16x Prompt is a desktop application that helps developers compose prompts for coding tasks in ChatGPT. It simplifies prompt creation by adding context, source code, and formatting instructions. The app supports all major programming languages and frameworks, and it can be used to generate prompts for a variety of coding tasks, including coding from scratch, debugging, refactoring, and more. 16x Prompt is free to download and use, and it can be used with both ChatGPT and GPT-4.

SwiftSora is an open-source project that enables users to generate videos from prompt text online. The project utilizes OpenAI's Sora model to streamline video creation and includes a straightforward one-click website deployment feature. With SwiftSora, users can effortlessly produce high-quality video assets, ranging from realistic scenes to imaginative visuals, by simply providing text instructions. The platform offers a user-friendly interface with customizable settings, making it accessible to both beginners and experienced video creators. SwiftSora empowers users to elevate their creativity and redefine the boundaries of possibility in video production.

SoraPrompt is an AI model that can create realistic and imaginative scenes from text instructions. It is the latest text-to-video technology from the OpenAI development team. Users can compile text prompts to generate video query summaries for efficient content analysis. SoraPrompt also allows users to share their interests and ideas with others.

TarsyAI is an AI tool that allows users to build AI assistants without the need for coding. Users can create customized AI assistants to manage customer support, lead generation, sales, and more. The platform offers features such as training with own data, customizing chat widgets, deploying AI assistants, monitoring and improving performance. TarsyAI supports multiple languages, provides advanced AI instructions, lead generation capabilities, and detailed analytics to enhance user interactions. The tool offers various pricing options to cater to different user needs, with a free trial available for all plans.

Excel Formula Bot is an AI-powered tool that helps users generate Excel and Google Sheet formulas using simple text instructions. It provides a user-friendly interface that allows users to write formulas in natural language, eliminating the need for complex syntax and manual calculations. With Excel Formula Bot, users can save time and effort while ensuring accuracy and consistency in their spreadsheet tasks.

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.

NeoPrompts is an AI-powered prompt optimization tool designed to help businesses enhance their efficiency by providing tailored prompts for various industries. With a vast library of 25,000 optimized prompts, NeoPrompts ensures clear and precise instructions to achieve accurate results in AI applications. The tool reduces ambiguity, enhances clarity, and offers prompt customization for image and video generation. NeoPrompts aims to be the best copilot for ChatGPT users, offering prompt refinement and boosting productivity by up to 35%. Users can access free trials and advanced features to optimize prompts, chat with ChatGPT-4o, and enroll in courses for enhanced AI capabilities.

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.

Luma AI Video Generator is an AI model designed to create high-quality and fantastical videos from text instructions and images. It offers fast video generation, realistic motion and cinematography, physical accuracy and consistency, diverse camera movements, and scalability. Users can quickly generate videos by inputting text descriptions, and the tool is free to use with a limited free quota per month.

NovelAI is an AI-powered storytelling platform that offers a monthly subscription service for AI-assisted image generation and storytelling. Users can create unique stories, illustrate thrilling tales, and write seductive romances with the help of AI technology. The platform provides a creative sandbox for imagination without censorship or guidelines, allowing users to freely express their creativity. NovelAI features advanced image generation, customizable editor, AI output control, secure writing storage, memory expansion, and module-powered tools to enhance storytelling. Users can engage in text adventures, push writing limits with enhanced detail, and give personalized instructions to guide their stories.

Text2SQL.AI is an AI-powered SQL query builder that helps users generate optimized SQL queries effortlessly. It supports various AI-powered services, including SQL query building from textual instructions, SQL query explanation to plain English, SQL query error fixation, adding custom database schemas, SQL dialects for various database types, Microsoft Excel and Google Sheets formula generation and explanation, and Regex expression generation and explanation. The tool is designed to improve SQL skills, save time, and assist beginners, data analysts, data scientists, data engineers, and software developers in their work.

Bash Senpai is a terminal assistant powered by ChatGPT that transforms instructions into ready-to-use commands. It provides convenience by allowing users to get answers without leaving the terminal and offers better answers by providing context with questions. The tool also incorporates self-reflection to improve the quality of its responses.

OpenAI Sora is a text-to-video model that can generate realistic and imaginative video scenes from text instructions. It's designed to simulate the physical world in motion, generating videos up to a minute long while maintaining visual quality and adhering to the user's prompt.

教えてAI byGMO is a Japanese portal site for generating prompts (instructions) for ChatGPT and Gemini-like generative AI. Users can input their desired tasks and receive prompt suggestions to use with AI tools. The site aims to provide a platform for creating effective prompts for communication with AI models, enabling users to easily interact with and utilize generative AI technology.

Teach-O-Matic is an AI tool that enables users to create how-to videos using text instructions. It is an open source Jupyter notebook powered by Replicate, LangChain, and GPT-4. Users can easily generate AI-driven videos without the need for a development environment. The tool utilizes various AI technologies such as text-to-video conversion, script writing, music composition, and image creation to streamline the video creation process.

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.

StarCoder2-Instruct is an open-source pipeline that introduces StarCoder2-15B-Instruct-v0.1, a self-aligned code Large Language Model (LLM) trained with a fully permissive and transparent pipeline. It generates instruction-response pairs to fine-tune StarCoder-15B without human annotations or data from proprietary LLMs. The tool is primarily finetuned for Python code generation tasks that can be verified through execution, with potential biases and limitations. Users can provide response prefixes or one-shot examples to guide the model's output. The model may have limitations with other programming languages and out-of-domain coding tasks.

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.

LLM Datasets is a repository containing high-quality datasets, tools, and concepts for LLM fine-tuning. It provides datasets with characteristics like accuracy, diversity, and complexity to train large language models for various tasks. The repository includes datasets for general-purpose, math & logic, code, conversation & role-play, and agent & function calling domains. It also offers guidance on creating high-quality datasets through data deduplication, data quality assessment, data exploration, and data generation techniques.

TempCompass is a benchmark designed to evaluate the temporal perception ability of Video LLMs. It encompasses a diverse set of temporal aspects and task formats to comprehensively assess the capability of Video LLMs in understanding videos. The benchmark includes conflicting videos to prevent models from relying on single-frame bias and language priors. Users can clone the repository, install required packages, prepare data, run inference using examples like Video-LLaVA and Gemini, and evaluate the performance of their models across different tasks such as Multi-Choice QA, Yes/No QA, Caption Matching, and Caption Generation.

LLaMA Factory is a unified framework for fine-tuning 100+ large language models (LLMs) with various methods, including pre-training, supervised fine-tuning, reward modeling, PPO, DPO and ORPO. It features integrated algorithms like GaLore, BAdam, DoRA, LongLoRA, LLaMA Pro, LoRA+, LoftQ and Agent tuning, as well as practical tricks like FlashAttention-2, Unsloth, RoPE scaling, NEFTune and rsLoRA. LLaMA Factory provides experiment monitors like LlamaBoard, TensorBoard, Wandb, MLflow, etc., and supports faster inference with OpenAI-style API, Gradio UI and CLI with vLLM worker. Compared to ChatGLM's P-Tuning, LLaMA Factory's LoRA tuning offers up to 3.7 times faster training speed with a better Rouge score on the advertising text generation task. By leveraging 4-bit quantization technique, LLaMA Factory's QLoRA further improves the efficiency regarding the GPU memory.

Recent LLM (Large Language Models)-based CV and multi-modal works.

MachinaScript For Robots is a dynamic set of tools and a LLM-JSON-based language designed to empower humans in the creation of their own robots. It facilitates the animation of generative movements, the integration of personality, and the teaching of new skills with a high degree of autonomy. With MachinaScript, users can control a wide range of electronic components, including Arduinos, Raspberry Pis, servo motors, cameras, sensors, and more. The tool enables the creation of intelligent robots accessible to everyone, allowing for complex tasks to be performed with elegance and precision.

LLM-PowerHouse is a comprehensive and curated guide designed to empower developers, researchers, and enthusiasts to harness the true capabilities of Large Language Models (LLMs) and build intelligent applications that push the boundaries of natural language understanding. This GitHub repository provides in-depth articles, codebase mastery, LLM PlayLab, and resources for cost analysis and network visualization. It covers various aspects of LLMs, including NLP, models, training, evaluation metrics, open LLMs, and more. The repository also includes a collection of code examples and tutorials to help users build and deploy LLM-based applications.

This repository provides a systematic and comprehensive review of efficient LLMs research. We organize the literature in a taxonomy consisting of three main categories, covering distinct yet interconnected efficient LLMs topics from **model-centric** , **data-centric** , and **framework-centric** perspective, respectively. We hope our survey and this GitHub repository can serve as valuable resources to help researchers and practitioners gain a systematic understanding of the research developments in efficient LLMs and inspire them to contribute to this important and exciting field.

Streamer-Sales is a large model for live streamers that can explain products based on their characteristics and inspire users to make purchases. It is designed to enhance sales efficiency and user experience, whether for online live sales or offline store promotions. The model can deeply understand product features and create tailored explanations in vivid and precise language, sparking user's desire to purchase. It aims to revolutionize the shopping experience by providing detailed and unique product descriptions to engage users effectively.

LLM-jp-eval is a tool designed to automatically evaluate Japanese large language models across multiple datasets. It provides functionalities such as converting existing Japanese evaluation data to text generation task evaluation datasets, executing evaluations of large language models across multiple datasets, and generating instruction data (jaster) in the format of evaluation data prompts. Users can manage the evaluation settings through a config file and use Hydra to load them. The tool supports saving evaluation results and logs using wandb. Users can add new evaluation datasets by following specific steps and guidelines provided in the tool's documentation. It is important to note that using jaster for instruction tuning can lead to artificially high evaluation scores, so caution is advised when interpreting the results.

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.

Distilabel is a framework for synthetic data and AI feedback for AI engineers that require high-quality outputs, full data ownership, and overall efficiency. It helps you synthesize data and provide AI feedback to improve the quality of your AI models. With Distilabel, you can: * **Synthesize data:** Generate synthetic data to train your AI models. This can help you to overcome the challenges of data scarcity and bias. * **Provide AI feedback:** Get feedback from AI models on your data. This can help you to identify errors and improve the quality of your data. * **Improve your AI output quality:** By using Distilabel to synthesize data and provide AI feedback, you can improve the quality of your AI models and get better results.

LLM Alchemy Chamber is a repository dedicated to exploring the world of Language Models (LLMs) through various experiments and projects. It contains scripts, notebooks, and experiments focused on tasks such as fine-tuning different LLM models, quantization for performance optimization, dataset generation for instruction/QA tasks, and more. The repository offers a collection of resources for beginners and enthusiasts interested in delving into the mystical realm of LLMs.

InternLM-XComposer2 is a groundbreaking vision-language large model (VLLM) based on InternLM2-7B excelling in free-form text-image composition and comprehension. It boasts several amazing capabilities and applications: * **Free-form Interleaved Text-Image Composition** : InternLM-XComposer2 can effortlessly generate coherent and contextual articles with interleaved images following diverse inputs like outlines, detailed text requirements and reference images, enabling highly customizable content creation. * **Accurate Vision-language Problem-solving** : InternLM-XComposer2 accurately handles diverse and challenging vision-language Q&A tasks based on free-form instructions, excelling in recognition, perception, detailed captioning, visual reasoning, and more. * **Awesome performance** : InternLM-XComposer2 based on InternLM2-7B not only significantly outperforms existing open-source multimodal models in 13 benchmarks but also **matches or even surpasses GPT-4V and Gemini Pro in 6 benchmarks** We release InternLM-XComposer2 series in three versions: * **InternLM-XComposer2-4KHD-7B** 🤗: The high-resolution multi-task trained VLLM model with InternLM-7B as the initialization of the LLM for _High-resolution understanding_ , _VL benchmarks_ and _AI assistant_. * **InternLM-XComposer2-VL-7B** 🤗 : The multi-task trained VLLM model with InternLM-7B as the initialization of the LLM for _VL benchmarks_ and _AI assistant_. **It ranks as the most powerful vision-language model based on 7B-parameter level LLMs, leading across 13 benchmarks.** * **InternLM-XComposer2-VL-1.8B** 🤗 : A lightweight version of InternLM-XComposer2-VL based on InternLM-1.8B. * **InternLM-XComposer2-7B** 🤗: The further instruction tuned VLLM for _Interleaved Text-Image Composition_ with free-form inputs. Please refer to Technical Report and 4KHD Technical Reportfor more details.

Align lessons to Next Generation Science Standards

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.

BRTR任务指令生成工具

Generates diverse media content; doesn't repeat or clarify instructions.

I create custom rubrics for educators

Helps create & market online courses, offering curriculum design, lesson generation, quizzes, and marketing strategies.

Friendly chef crafting recipes from your pantry photos.

Culinary expert for recipe creation, meal planning, and cooking tips.

I create pivot tables in Excel as per instructions.

A creative chef assistant for generating original recipes.

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Translates complex instructions into basic steps or pseudocode.

Drafts detailed research papers with web-sourced citations, following user-specific instructions.

Transforms food photos into detailed recipes.

Offers workout snacks based on lifestyle and location

K12 assessment expert, creating grade-level appropriate essay prompts.

Tailored content Quiz Generator to learn and refine your knowledge

A friendly recipe generator specializing in allergy-friendly and dietary-specific meals.

Conversational and informative exit ticket generator.

The Ultimate Recipe Generator: Personalized creations for the discerning chef!