Best AI tools for< Write E-learning Scripts >

SRVO is a voice over service that provides high-quality, professional voice overs for a variety of purposes, including commercials, e-learning, and audiobooks. With a team of experienced voice actors and a state-of-the-art recording studio, SRVO can create custom voice overs that meet the specific needs of each client. SRVO also offers a variety of additional services, such as scriptwriting, audio editing, and mixing.

This website provides an AI-powered tool for creating ebooks. With this tool, users can quickly and easily generate high-quality ebooks on a variety of topics. The tool uses natural language processing and machine learning to analyze user input and produce well-written, informative content. The website also offers a range of features to help users customize their ebooks, including the ability to add images, videos, and interactive elements.

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

OpenGPT is a community for Open AI enthusiasts. It provides access to various AI tools such as GPT Store, OpenGPTs, Open Chat, Open Draw, and Open Video. Users can submit their GPTs and earn credits for free access to advanced AI models like Google Gemini Pro, ChatGPT4, DALL.E.3, and Imagen2.

Genera is a website that provides users with access to a variety of generative AI applications, including an interior designer, an architectural designer, and a text-to-image generator. The website is easy to use and allows users to create stunning designs and images with just a few clicks. Genera is a great resource for anyone who is looking to use AI to improve their creativity.

RegisAI is an AI-powered writing tool that helps businesses create high-converting product descriptions and ad copies in seconds. With just a few keywords and the product name, RegisAI's AI can generate engaging and persuasive text that can help boost sales and improve conversion rates. RegisAI is easy to use and affordable, making it a great option for businesses of all sizes.

HomeworkAI is an innovative platform that generates detailed summaries and grammar exercises for language teachers, reducing stress, saving time, and helping students retain content. It offers various features such as summary generation, multiple-choice exercise creation, interactive story generation, and content editing. HomeworkAI aims to simplify lesson planning and provide engaging educational materials for language learning.

ChatGPT Italiano is a free, no-registration-required AI chatbot that utilizes the ChatGPT-3.5 and ChatGPT-4 language models. It can comprehend and analyze complex, in-depth issues that humans cannot, along with exceptional capabilities such as: Response speed: This online chatbot impresses with its instant response speed on the browser of many different search engines, including Google, Bing, etc. Content quality: All content information provided is accurate, not exaggerated. The quality of the output content in natural language is presented in a coherent and fluent manner. Language support: Although primarily operating in Italian, this chatbot can still support multilingual users for translation, Q&A.

GPTSidekick is an affordable GPT-4 powered AI assistant that can help you with a variety of tasks, including writing, coding, research, and more. It is easy to use and can be accessed from any device with an internet connection.

PizzaGPT is an AI-powered chatbot specifically designed for the Italian market. It is trained on a massive dataset of Italian language and culture, enabling it to understand and respond to user queries in a natural and informative way. With PizzaGPT, users can engage in conversations, ask questions, get recommendations, and access a wealth of information on various topics.

AI Paragraph Generator is an advanced tool designed to assist writers in creating engaging and informative paragraphs for various types of content. It leverages AI technology, including Natural Language Processing (NLP) and machine learning models, to generate human-like text based on given prompts. The tool is versatile, offering features for content creation, academic writing, and personal communication, with customization options for tone, style, and keywords. AI Paragraph Generator aims to enhance efficiency, creativity, and SEO optimization in writing processes.

PromptPal is a website that provides users with access to a variety of AI-powered tools, including a prompt generator, a chatbot, and a content creation assistant. The website also features a community forum where users can share their experiences and collaborate on projects. PromptPal is designed to help users save time and improve their productivity by providing them with the tools they need to create high-quality content and engage with their audience.

rocketAI is an AI-powered platform that helps businesses create high-quality visuals and copywriting for their marketing campaigns. With rocketAI, businesses can generate product photoshoots, product designs, and social media posts that are tailored to their brand style. rocketAI is easy to use and affordable, making it a great option for businesses of all sizes.

OpenAI Platform is a suite of powerful AI tools that can help you build and deploy AI applications. With OpenAI Platform, you can access state-of-the-art AI models, including GPT-3, Codex, and DALL-E 2. You can also use OpenAI Platform to train your own custom AI models. OpenAI Platform is used by businesses of all sizes to build a wide range of AI applications, including chatbots, language translation tools, and image generators.

SellerAI is an AI-powered tool that helps e-commerce sellers boost their sales. It offers a range of features such as automated keyword listing generation, cost-effective product content creation, and multilingual support. SellerAI is designed to help sellers save time and increase their conversion rates.

Contents.com is a generative AI platform that helps businesses create and optimize content for their digital channels. With Contents.com, users can generate any type of content in just a few seconds, including social media posts, product descriptions, blog articles, and more. Contents.com also offers a variety of features to help businesses manage their content workflow, including a content calendar, collaboration tools, and analytics.

Lek.ai is an AI-powered content creation toolkit that helps users generate text for a variety of purposes, including social media posts, email marketing, e-commerce, and business writing. With over 25 use cases, Lek.ai can help users write better content faster and more efficiently.

TextreactAI is a comprehensive AI-powered platform that provides a wide range of tools for content creation, including text generation, image creation, voiceover synthesis, speech-to-text transcription, and code generation. With its user-friendly interface and advanced AI capabilities, TextreactAI empowers users to create high-quality content efficiently and effectively.

Pagecloud is a website builder that uses AI to help users create and manage their websites. It offers a variety of features, including drag-and-drop editing, AI-powered content creation, e-commerce functionality, and analytics. Pagecloud is designed for users of all skill levels, from beginners to experienced web developers.

ProductListing.AI is an AI-powered tool that helps Amazon sellers create, optimize, and enhance their product listings. It uses advanced algorithms to analyze listings, identify target audiences, and optimize content for higher conversions and sales. With ProductListing.AI, sellers can generate product listing copies in seconds, ensuring that their listings are compelling and captivating, driving higher conversions and boosting sales.

AIStore is a lightweight object storage system designed for AI applications. It is highly scalable, reliable, and easy to use. AIStore can be deployed on any commodity hardware, and it can be used to store and manage large datasets for deep learning and other AI applications.

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.

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 🦾**

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.

AIDE is a machine learning code generation agent that can generate solutions for machine learning tasks from natural language descriptions. It has the following features: 1. **Instruct with Natural Language**: Describe your problem or additional requirements and expert insights, all in natural language. 2. **Deliver Solution in Source Code**: AIDE will generate Python scripts for the **tested** machine learning pipeline. Enjoy full transparency, reproducibility, and the freedom to further improve the source code! 3. **Iterative Optimization**: AIDE iteratively runs, debugs, evaluates, and improves the ML code, all by itself. 4. **Visualization**: We also provide tools to visualize the solution tree produced by AIDE for a better understanding of its experimentation process. This gives you insights not only about what works but also what doesn't. AIDE has been benchmarked on over 60 Kaggle data science competitions and has demonstrated impressive performance, surpassing 50% of Kaggle participants on average. It is particularly well-suited for tasks that require complex data preprocessing, feature engineering, and model selection.

**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.

Factorio Learning Environment is an open source framework designed for developing and evaluating LLM agents in the game of Factorio. It provides two settings: Lab-play with structured tasks and Open-play for building large factories. Results show limitations in spatial reasoning and automation strategies. Agents interact with the environment through code synthesis, observation, action, and feedback. Tools are provided for game actions and state representation. Agents operate in episodes with observation, planning, and action execution. Tasks specify agent goals and are implemented in JSON files. The project structure includes directories for agents, environment, cluster, data, docs, eval, and more. A database is used for checkpointing agent steps. Benchmarks show performance metrics for different configurations.

LLM Foundry is a codebase for training, finetuning, evaluating, and deploying LLMs for inference with Composer and the MosaicML platform. It is designed to be easy-to-use, efficient _and_ flexible, enabling rapid experimentation with the latest techniques. You'll find in this repo: * `llmfoundry/` - source code for models, datasets, callbacks, utilities, etc. * `scripts/` - scripts to run LLM workloads * `data_prep/` - convert text data from original sources to StreamingDataset format * `train/` - train or finetune HuggingFace and MPT models from 125M - 70B parameters * `train/benchmarking` - profile training throughput and MFU * `inference/` - convert models to HuggingFace or ONNX format, and generate responses * `inference/benchmarking` - profile inference latency and throughput * `eval/` - evaluate LLMs on academic (or custom) in-context-learning tasks * `mcli/` - launch any of these workloads using MCLI and the MosaicML platform * `TUTORIAL.md` - a deeper dive into the repo, example workflows, and FAQs

CoML (formerly MLCopilot) is an interactive coding assistant for data scientists and machine learning developers, empowered on large language models. It offers an out-of-the-box interactive natural language programming interface for data mining and machine learning tasks, integration with Jupyter lab and Jupyter notebook, and a built-in large knowledge base of machine learning to enhance the ability to solve complex tasks. The tool is designed to assist users in coding tasks related to data analysis and machine learning using natural language commands within Jupyter environments.

MultiPL-E is a system for translating unit test-driven neural code generation benchmarks to new languages. It is part of the BigCode Code Generation LM Harness and allows for evaluating Code LLMs using various benchmarks. The tool supports multiple versions with improvements and new language additions, providing a scalable and polyglot approach to benchmarking neural code generation. Users can access a tutorial for direct usage and explore the dataset of translated prompts on the Hugging Face Hub.

This repository contains scripts and tools for evaluating a chat app that uses the RAG architecture. It provides parameters to assess the quality and style of answers generated by the chat app, including system prompt, search parameters, and GPT model parameters. The tools facilitate running evaluations, with examples of evaluations on a sample chat app. The repo also offers guidance on cost estimation, setting up the project, deploying a GPT-4 model, generating ground truth data, running evaluations, and measuring the app's ability to say 'I don't know'. Users can customize evaluations, view results, and compare runs using provided tools.

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.

Fueling-Ambitions-Via-Book-Discoveries is an Advanced Machine Learning & AI Course designed for students, professionals, and AI researchers. The course integrates rigorous theoretical foundations with practical coding exercises, ensuring learners develop a deep understanding of AI algorithms and their applications in finance, healthcare, robotics, NLP, cybersecurity, and more. Inspired by MIT, Stanford, and Harvard’s AI programs, it combines academic research rigor with industry-standard practices used by AI engineers at companies like Google, OpenAI, Facebook AI, DeepMind, and Tesla. Learners can learn 50+ AI techniques from top Machine Learning & Deep Learning books, code from scratch with real-world datasets, projects, and case studies, and focus on ML Engineering & AI Deployment using Django & Streamlit. The course also offers industry-relevant projects to build a strong AI portfolio.

Deeppowers is a powerful Python library for deep learning applications. It provides a wide range of tools and utilities to simplify the process of building and training deep neural networks. With Deeppowers, users can easily create complex neural network architectures, perform efficient training and optimization, and deploy models for various tasks. The library is designed to be user-friendly and flexible, making it suitable for both beginners and experienced deep learning practitioners.

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

Awesome Generative AI is a curated list of modern Generative Artificial Intelligence projects and services. Generative AI technology creates original content like images, sounds, and texts using machine learning algorithms trained on large data sets. It can produce unique and realistic outputs such as photorealistic images, digital art, music, and writing. The repo covers a wide range of applications in art, entertainment, marketing, academia, and computer science.

The Microsoft Health Intelligence Machine Learning Toolbox is a repository that provides low-level and high-level building blocks for Machine Learning / AI researchers and practitioners. It simplifies and streamlines work on deep learning models for healthcare and life sciences by offering tested components such as data loaders, pre-processing tools, deep learning models, and cloud integration utilities. The repository includes two Python packages, 'hi-ml-azure' for helper functions in AzureML, 'hi-ml' for ML components, and 'hi-ml-cpath' for models and workflows related to histopathology images.

The `mystic` framework provides a collection of optimization algorithms and tools that allow the user to robustly solve hard optimization problems. It offers fine-grained power to monitor and steer optimizations during the fit processes. Optimizers can advance one iteration or run to completion, with customizable stop conditions. `mystic` optimizers share a common interface for easy swapping without writing new code. The framework supports parameter constraints, including soft and hard constraints, and provides tools for scientific machine learning, uncertainty quantification, adaptive sampling, nonlinear interpolation, and artificial intelligence. `mystic` is actively developed and welcomes user feedback and contributions.

OpenAdapt is an open-source software adapter between Large Multimodal Models (LMMs) and traditional desktop and web Graphical User Interfaces (GUIs). It aims to automate repetitive GUI workflows by leveraging the power of LMMs. OpenAdapt records user input and screenshots, converts them into tokenized format, and generates synthetic input via transformer model completions. It also analyzes recordings to generate task trees and replay synthetic input to complete tasks. OpenAdapt is model agnostic and generates prompts automatically by learning from human demonstration, ensuring that agents are grounded in existing processes and mitigating hallucinations. It works with all types of desktop GUIs, including virtualized and web, and is open source under the MIT license.

Your personal A.I. learning hero when creating interactive e-learning content

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

Seu guia para explorar e aprender sobre o cosmos

I create casual TEDx-style talks on AI, with DALL-E visuals.

根据图片，生成文字，以学习英文。 上传文件然后说do it

Create one-of-a-kind postcards with ChatGPT and DALL·E 3. Our assistant creates the perfect message and graphics for a unique way to stay connected. For just $3.49, get your postcard printed and shipped anywhere in the world. Our AI canva​s makes every dispatch uniquely yours!

Oipytyvõ omoheñóivo ñe’ẽmondo Chatgpt-pe g̃uarã - Guarani ñe’ẽ

Analizo e interpreto personajes de la literatura.

Explorando perguntas complexas com diversão e emojis! 🚀🌟

Ojekuaa ha ome’ẽ mba’éichapa oñepohano - Guarani ñe’ẽ

Chat with your favourite F.R.I.E.N.D.S

Experto preciso en branding y diseño, con habilidades DALL-E.

ELI5 ChatGPT: Explica conceitos complexos de forma simples, incentivando aprendizado e curiosidade em diversos tópicos de maneira acessível.

輸入中文單字後，我們提供你以下內容 第一、請用繁體中文解釋此單字。 第二、英文解釋此單字。 第三、提供兩個常用例句，用英文來表達的例句。並附上繁體中文翻譯 第四、單字延伸學習，包含同義詞，相反詞。 第五、使用DALL-E 3產生一張圖檔，此圖檔能夠表達此單字的意思. GPTseek.com=GD0R8XUX0JA

跨境物流翻译专家

A helpful guide for creating detailed e-learning cannabis courses

効果的なプロンプトの作成と改善に関する専門的な知識とテクニックを提供します。

Erudito proactivo en ciencia, literatura e ingeniería, aprendiendo de cada interacción.

una persona madre lingua inglese che ti aiuta a parlare e comprendere l'inglese, un insegnante con il quale si può dialogare

根据用户输入的数据参数生成标签