Best AI tools for< Create Training Manuals >

AR Genie is an AI-powered platform that offers remote visual assistance with augmented reality, revolutionizing operations and support by seamlessly integrating AR with the power of AI. The platform empowers companies to enhance their operations and support through innovative solutions, such as remote assistance, operations and maintenance support, onboarding and troubleshooting, and AR manuals for work instructions. AR Genie provides features like AR annotation tools, live camera streaming, AR glasses support, web portal integration, and mobile-to-mobile sessions. The platform offers benefits such as extending expert reach, minimizing costs, and maximizing uptime, with advantages including reduced technician dispatches, increased customer satisfaction, expanded knowledge, faster problem-solving, and reduced costs. However, some disadvantages include potential technical glitches, dependency on internet connectivity, and the need for user training.

Kopyst is an AI-powered documentation tool that revolutionizes the process of creating engaging video and documents. It helps users streamline workflows, create user manuals, SOPs, and training documents with unmatched accuracy and efficiency. Kopyst offers features like instant documentation, versatile application for various document types, AI-powered intelligence, easy sharing and collaboration, and seamless integration with existing tools. The application empowers users to save time, reduce errors, optimize resources, and enhance productivity in documentation tasks.

DocuDo is an AI assistant for tech writers that helps you write support documentation 10x faster. With DocuDo, you can record a screencast of your product, and DocuDo will automatically generate the corresponding support article. DocuDo uses LLM, such as ChatGPT, to prepare content and screenshots, so you can be sure that your documentation is accurate and up-to-date.

Prompt Genie is a powerful tool that helps you generate high-quality prompts for ChatGPT. With Prompt Genie, you can easily create prompts for a wide variety of tasks, including crafting video hooks, improving video scripts, creating ideal customer profiles, finding value propositions, creating brand identities, marketing plans, copywriting using the PAS Framework, creating lesson outlines, and writing argumentative essays. Prompt Genie is easy to use and affordable, and it can help you save time and improve the quality of your work.

LEAi is an AI-powered tool designed for training course content authoring. It enables users to quickly create, update, and repurpose training courses by leveraging artificial intelligence to streamline the course creation process. LEAi eliminates manual tasks, provides real-time guidance on course structure and content writing, and ensures optimal learning outcomes by applying best practices in course development. The tool is ideal for companies looking to save time and resources in developing high-quality training content.

GPTHelp.ai is an AI chatbot tool designed to help website owners provide instant answers to their visitors' questions. The tool is trained on the website content, files, and FAQs to deliver accurate responses. Users can customize the chatbot's design, behavior, and personality to fit their needs. With GPTHelp.ai, creating and training your own AI chatbot is quick and easy, eliminating the need for manual setup of FAQs. The tool also allows users to monitor conversations, intervene if necessary, and view chat history for performance evaluation.

VidGenesis is an AI-powered video generator that allows users to create engaging videos in minutes. With its user-friendly interface and powerful AI technology, VidGenesis makes it easy for anyone to create high-quality videos for a variety of purposes, including marketing, education, and entertainment. Some of the key features of VidGenesis include the ability to choose from a variety of video templates, add custom text and images, and select from a range of AI-generated voices. VidGenesis also offers a variety of advanced features, such as the ability to add custom branding and download videos in HD quality.

Weet is an all-in-one video creation, editing, and tracking platform that offers a wide range of tools to help businesses create professional-looking interactive videos quickly and easily. With Weet, users can record their screen and webcam, create avatar videos, generate subtitles and translations, edit and trim videos, and add interactivity to make their videos more engaging. Weet also offers real-time collaboration, built-in comments and interactions, and designated workspaces and channels to help teams stay organized and make their videos easy to search.

AIflixhub is an AI-powered video creation platform that allows users to create AI-generated films, videos, speech, sound, and music. With AIflixhub, users can create professional-quality videos with just a few clicks. The platform offers a wide range of features, including AI-powered video editing, text-to-speech, and music generation. AIflixhub is perfect for businesses, marketers, and anyone who wants to create engaging videos quickly and easily.

WOXO is an AI-powered video generator that helps content creators boost their YouTube and TikTok views. It offers a range of features to streamline the video creation process, including idea generation, quick editing, and scheduling. With WOXO, content creators can save time, overcome creative blocks, and ensure consistency in their video output.

SORA AI Video Generator is a powerful online tool that allows you to create stunning videos from text. With SORA AI, you can easily convert your written content into engaging and informative videos, perfect for marketing, education, and more. SORA AI's advanced artificial intelligence technology analyzes your text and automatically generates a video that is tailored to your specific needs. You can customize your videos with a variety of features, including text-to-speech narration, background music, and images. SORA AI also offers a wide range of templates to help you get started quickly and easily.

Finalle.ai is a cloud-based AI-powered video creation platform that enables users to create professional-quality videos in minutes. With Finalle.ai, you can easily create videos for social media, marketing, sales, and more. No video editing experience is required.

SoraWeb is an open-source platform that simplifies video creation by allowing users to generate videos online with OpenAI's Sora model using text, featuring easy one-click website deployment.

Voice AI Note is a web-based application that allows users to quickly and easily create voice notes using advanced AI. With Voice AI Note, you can create voice notes that are fluent, accurate, and sound natural. The application is easy to use and requires no prior experience with AI or voice recording. Simply enter the text you want to convert to speech, and Voice AI Note will do the rest.

Luma AI is a 3D capture platform that allows users to create interactive 3D scenes from videos. With Luma AI, users can capture 3D models of people, objects, and environments, and then use those models to create interactive experiences such as virtual tours, product demonstrations, and training simulations.

Synthesia is an AI-powered video creation platform that allows users to create professional-quality videos with AI avatars and voiceovers in over 130 languages. It is designed to be easy to use, with a drag-and-drop interface and a library of pre-built templates. Synthesia is used by businesses of all sizes to create training videos, sales videos, marketing videos, and more.

Elai.io is an advanced tool that utilizes the power of artificial intelligence to simplify and automate the video creation process. Our aim in Elai.io is to offer a user-friendly platform that welcomes individuals at any skill level in video production. Users can outline their video’s theme and narrative through an easy-to-navigate text interface, enriching it further with various multimedia components like images, texts, and sounds. This synergy between AI and user creativity enables the crafting of videos that are rich in information and visually stunning.

Colossyan Creator is an AI-powered video generation platform that enables users to create professional-quality videos from text, images, and audio. With Colossyan Creator, users can quickly and easily create engaging and informative videos for a variety of purposes, including training, marketing, and communications. Colossyan Creator offers a wide range of features, including AI-powered avatars, auto-translation, and customizable templates. Colossyan Creator is used by a variety of organizations, including Fortune 500 companies and educational institutions.

Yepic AI is a real-time AI avatar technology for corporate learning and customer experience professionals wanting to significantly improve learning outcomes and deliver excellent customer service. It offers a range of products including asynchronous studio express, asynchronous studio pro, real-time video agents, and real-time asynchronous API. Yepic AI's avatars are knowledgeable, lifelike, and multilingual, and can be used for a variety of purposes such as education and training, health and fitness, and customer support.

Vyond is an AI video creation platform designed for businesses to easily create professional-quality videos using AI-powered tools. The platform offers features like AI avatars, instant video generation, brand management, and enterprise security. Users can make videos in seconds with Vyond Go and customize them as needed. Vyond caters to various industries and departments, providing solutions for training, marketing, internal communications, and more. The platform is known for its user-friendly interface and ability to transform complex content into engaging media effortlessly.

llamafile is a tool that enables users to distribute and run Large Language Models (LLMs) with a single file. It combines llama.cpp with Cosmopolitan Libc to create a framework that simplifies the complexity of LLMs into a single-file executable called a 'llamafile'. Users can run these executable files locally on most computers without the need for installation, making open LLMs more accessible to developers and end users. llamafile also provides example llamafiles for various LLM models, allowing users to try out different LLMs locally. The tool supports multiple CPU microarchitectures, CPU architectures, and operating systems, making it versatile and easy to use.

A repository that lists papers related to Large Language Model (LLM) based agents. The repository covers various topics including survey, planning, feedback & reflection, memory mechanism, role playing, game playing, tool usage & human-agent interaction, benchmark & evaluation, environment & platform, agent framework, multi-agent system, and agent fine-tuning. It provides a comprehensive collection of research papers on LLM-based agents, exploring different aspects of AI agent architectures and applications.

Co-LLM (Collaborative Language Models) is a tool for learning to decode collaboratively with multiple language models. It provides a method for data processing, training, and inference using a collaborative approach. The tool involves steps such as formatting/tokenization, scoring logits, initializing Z vector, deferral training, and generating results using multiple models. Co-LLM supports training with different collaboration pairs and provides baseline training scripts for various models. In inference, it uses 'vllm' services to orchestrate models and generate results through API-like services. The tool is inspired by allenai/open-instruct and aims to improve decoding performance through collaborative learning.

Use the OpenAI API with Ruby! 🤖🩵 Stream text with GPT-4, transcribe and translate audio with Whisper, or create images with DALL·E... Hire me | 🎮 Ruby AI Builders Discord | 🐦 Twitter | 🧠 Anthropic Gem | 🚂 Midjourney Gem ## Table of Contents * Ruby OpenAI * Table of Contents * Installation * Bundler * Gem install * Usage * Quickstart * With Config * Custom timeout or base URI * Extra Headers per Client * Logging * Errors * Faraday middleware * Azure * Ollama * Counting Tokens * Models * Examples * Chat * Streaming Chat * Vision * JSON Mode * Functions * Edits * Embeddings * Batches * Files * Finetunes * Assistants * Threads and Messages * Runs * Runs involving function tools * Image Generation * DALL·E 2 * DALL·E 3 * Image Edit * Image Variations * Moderations * Whisper * Translate * Transcribe * Speech * Errors * Development * Release * Contributing * License * Code of Conduct

WebWhiz is an open-source tool that allows users to train ChatGPT on website data to build AI chatbots for customer queries. It offers easy integration, data-specific responses, regular data updates, no-code builder, chatbot customization, fine-tuning, and offline messaging. Users can create and train chatbots in a few simple steps by entering their website URL, automatically fetching and preparing training data, training ChatGPT, and embedding the chatbot on their website. WebWhiz can crawl websites monthly, collect text data and metadata, and process text data using tokens. Users can train custom data, but bringing custom open AI keys is not yet supported. The tool has no limitations on context size but may limit the number of pages based on the chosen plan. WebWhiz SDK is available on NPM, CDNs, and GitHub, and users can self-host it using Docker or manual setup involving MongoDB, Redis, Node, Python, and environment variables setup. For any issues, users can contact [email protected].

LABO is a time series forecasting and analysis framework that integrates pre-trained and fine-tuned LLMs with multi-domain agent-based systems. It allows users to create and tune agents easily for various scenarios, such as stock market trend prediction and web public opinion analysis. LABO requires a specific runtime environment setup, including system requirements, Python environment, dependency installations, and configurations. Users can fine-tune their own models using LABO's Low-Rank Adaptation (LoRA) for computational efficiency and continuous model updates. Additionally, LABO provides a Python library for building model training pipelines and customizing agents for specific tasks.

ProX is a lm-based data refinement framework that automates the process of cleaning and improving data used in pre-training large language models. It offers better performance, domain flexibility, efficiency, and cost-effectiveness compared to traditional methods. The framework has been shown to improve model performance by over 2% and boost accuracy by up to 20% in tasks like math. ProX is designed to refine data at scale without the need for manual adjustments, making it a valuable tool for data preprocessing in natural language processing tasks.

The 'create-million-parameter-llm-from-scratch' repository provides a detailed guide on creating a Large Language Model (LLM) with 2.3 million parameters from scratch. The blog replicates the LLaMA approach, incorporating concepts like RMSNorm for pre-normalization, SwiGLU activation function, and Rotary Embeddings. The model is trained on a basic dataset to demonstrate the ease of creating a million-parameter LLM without the need for a high-end GPU.

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.

This repository contains an AI implementation that learns to play the classic game Snake in the terminal. The AI is built using Rust and Ratatui. Users can clone the repo, run the simulation, and configure various settings to customize the AI's behavior. The project also provides options for minimal UI, training custom networks, and watching the AI complete the game on different board sizes. The developer shares updates and insights about the project on Twitter and plans to create a detailed blog post explaining the AI's workings.

The Google Gen AI SDK is a Python library that provides access to Google AI and Vertex AI services. It allows users to create clients for different services, work with parameter types, models, generate content, call functions, handle JSON response schemas, stream text and image content, perform async operations, count and compute tokens, embed content, generate and upscale images, edit images, work with files, create and get cached content, tune models, distill models, perform batch predictions, and more. The SDK supports various features like automatic function support, manual function declaration, JSON response schema support, streaming for text and image content, async methods, tuning job APIs, distillation, batch prediction, and more.

LLM-Pruner is a tool for structural pruning of large language models, allowing task-agnostic compression while retaining multi-task solving ability. It supports automatic structural pruning of various LLMs with minimal human effort. The tool is efficient, requiring only 3 minutes for pruning and 3 hours for post-training. Supported LLMs include Llama-3.1, Llama-3, Llama-2, LLaMA, BLOOM, Vicuna, and Baichuan. Updates include support for new LLMs like GQA and BLOOM, as well as fine-tuning results achieving high accuracy. The tool provides step-by-step instructions for pruning, post-training, and evaluation, along with a Gradio interface for text generation. Limitations include issues with generating repetitive or nonsensical tokens in compressed models and manual operations for certain models.

KanTV is an open-source project that focuses on studying and practicing state-of-the-art AI technology in real applications and scenarios, such as online TV playback, transcription, translation, and video/audio recording. It is derived from the original ijkplayer project and includes many enhancements and new features, including: * Watching online TV and local media using a customized FFmpeg 6.1. * Recording online TV to automatically generate videos. * Studying ASR (Automatic Speech Recognition) using whisper.cpp. * Studying LLM (Large Language Model) using llama.cpp. * Studying SD (Text to Image by Stable Diffusion) using stablediffusion.cpp. * Generating real-time English subtitles for English online TV using whisper.cpp. * Running/experiencing LLM on Xiaomi 14 using llama.cpp. * Setting up a customized playlist and using the software to watch the content for R&D activity. * Refactoring the UI to be closer to a real commercial Android application (currently only supports English). Some goals of this project are: * To provide a well-maintained "workbench" for ASR researchers interested in practicing state-of-the-art AI technology in real scenarios on mobile devices (currently focusing on Android). * To provide a well-maintained "workbench" for LLM researchers interested in practicing state-of-the-art AI technology in real scenarios on mobile devices (currently focusing on Android). * To create an Android "turn-key project" for AI experts/researchers (who may not be familiar with regular Android software development) to focus on device-side AI R&D activity, where part of the AI R&D activity (algorithm improvement, model training, model generation, algorithm validation, model validation, performance benchmark, etc.) can be done very easily using Android Studio IDE and a powerful Android phone.

Pipeline is a Python library designed for constructing computational flows for AI/ML models. It supports both development and production environments, offering capabilities for inference, training, and finetuning. The library serves as an interface to Mystic, enabling the execution of pipelines at scale and on enterprise GPUs. Users can also utilize this SDK with Pipeline Core on a private hosted cluster. The syntax for defining AI/ML pipelines is reminiscent of sessions in Tensorflow v1 and Flows in Prefect.

LLM training in simple, pure C/CUDA. There is no need for 245MB of PyTorch or 107MB of cPython. For example, training GPT-2 (CPU, fp32) is ~1,000 lines of clean code in a single file. It compiles and runs instantly, and exactly matches the PyTorch reference implementation. I chose GPT-2 as the first working example because it is the grand-daddy of LLMs, the first time the modern stack was put together.

I create tailored training manuals for various jobs and industries.

This prompt acts as an expert in AI and a specific field, designing educational and attractive manuals for a defined audience. He specializes in integrating advanced knowledge and NLP techniques to generate high-quality content.

Guides technical skill development within an organization.

Guides companies to adhere to regulatory standards through training.

Helps develop training modules in Business, Management, Leadership, and HRM.

Expert in bouldering training and planning

Expert ultramarathon guide offering tailored training and race strategies.

I will create a quality data set for a personality AI, just dive into each module by saying the name of it and do so for all the modules. If you find it useful, share it to your friends

Designs training programs for runners preparing for marathons and other races, tailored to fitness levels.

Develops training programs, customizing content to fit corporate culture and objectives.

Design your perfect race calendar and training plans for your next race.

创建培训PPT主题和内容

Enhances organizational performance through employee learning and development initiatives.

A master of instructional design and technology.

优化

Guiding your triathlon journey, step by step.

Expert in cycling, triathlon, endurance sports, inspired by WEDŪ & THEMOVE

Professional, accessible mentor to help leaders elevate experiences, particularly in enabling functions.

Especialista em Educação Física e análise de dados

Builds progressive CrossFit plans for hockey endurance.