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AI:JD by Pangea is an AI-powered job description generator that helps you create customized job descriptions in under 90 seconds. With AI:JD, you can save hours of time and effort by letting AI take care of the hard parts of writing a job description. Simply provide some basic information about the role you're hiring for, and AI:JD will generate a tailored job description that you can fine-tune to your liking.

WriteMyPrd is an AI tool designed to make writing Product Requirements Documents (PRDs) easier and faster. It utilizes ChatGPT Olvy 3.0 to speed up feedback analysis by 10x, helping users get started with writing their PRDs efficiently. The tool assists in providing basic information and features a user-friendly interface for defining requirements and collecting user feedback.

Gift Recommender is an AI-powered application designed to assist users in finding the perfect gift for their loved ones. By providing basic information about the recipient such as name, age, gender, price range, and interests, the AI generates personalized gift recommendations. The system learns from user feedback to continuously improve its suggestions. While the AI provides recommendations, it acknowledges that the best gift is often something personal and encourages users to provide feedback for better training.

BookAI.chat is an AI-powered application that allows users to chat with their books using Artificial Intelligence technology. Users can interact with any book by providing just the title and author's name. The application leverages the advanced capabilities of GPT-3 and GPT-4 to provide a seamless and engaging chat experience. With support for over 30 languages, users can communicate with their books in their native language or the language they are learning. BookAI.chat simplifies the process of adding new books to the library by requiring only basic information. It also offers the option to add book covers, enhancing the overall experience.

The website is a standard web page that seems to be a generic template with placeholder text. It does not provide any specific information or functionality. The page mentions that the requested page is not found and encourages users to go to the home page. The website includes basic navigation elements such as a menu and social media icons. The footer contains a copyright notice for the year 2024.

Vexisai.com is a website that serves as a domain parking page created by the domain owner using Sedo Domain Parking. It provides resources and information related to the domain. The webpage does not have any specific AI tool or application functionality but rather acts as a placeholder for the domain. Please note that Sedo, the service used for domain parking, is not affiliated with any third-party advertisers and does not endorse or recommend any specific services or trademarks.

Winston AI is an AI tool designed to assist users in understanding and utilizing artificial intelligence technology. The platform provides a range of articles and resources to help users grasp basic information about AI, upload and verify documents, comprehend AI detection, and learn about privacy matters related to AI usage.

Tammy AI is an AI-powered platform that offers users the ability to get video information faster and better through AI technology. It also provides opportunities to unlock new dimensions in learning and leisure activities. Users can interact with bots they create, enhancing their overall experience. The platform covers a wide range of topics from technology and history to health and self-improvement, making it a versatile tool for various purposes.

aReception.com is an AI digital and human avatar terminal that operates nonstop 24/7. It offers a unique synergy of artificial intelligence and human skills, providing a virtual receptionist, assistant, and guide in one. The solution uses AI technology for speech processing, enabling communication in multiple languages through natural language. It offers fast and easy installation, with benefits including recognition of visitor intent, multilingualism, and efficient customer service. The system operates on the basis of artificial intelligence with the option of discussion or writing on a touch-sensitive LCD panel, saving time and money for businesses.

ChatGPT is a leading Chinese learning website that offers a comprehensive AI learning experience. It provides tutorials on ChatGPT, GPTs, and AI applications, guiding users from basic principles to advanced usage. The platform also offers ChatGPT Prompt words for various professions and life scenarios, inspiring creativity and productivity. Additionally, MidJourney tutorials focus on AI drawing, particularly suitable for beginners. With AI tools like AI Reading Assistant and GPT Finder, ChatGPT aims to enhance learning, work efficiency, and business success.

Echobase is an AI tool designed to easily integrate AI into businesses by allowing teams to query, create, and analyze data from their files. It offers advanced AI models tailored to specific business needs, enabling the creation of AI agents capable of tasks like basic Q&A, data analysis, and content creation. Echobase provides a centralized workspace for uploading and querying organizational knowledge bases in real-time, along with features for collaboration and role management. The tool prioritizes data security through robust encryption, API usage, and user-controlled data access.

Ada is an AI-powered customer service automation platform that helps businesses resolve more customer inquiries with less effort. It offers a range of features, including automated resolution of up to 75% of customer inquiries, seamless integration with existing tech stacks, and continuous improvement through guidance and AI coaching.

EBI.AI is a customer service AI assistant that can help businesses with a variety of tasks, such as answering customer questions, resolving issues, and providing support. It is a self-serve platform that allows businesses to create and launch their own AI assistant in minutes. EBI.AI also offers a range of features, such as natural language processing, human-in-the-loop support, and integrations with other business systems. With EBI.AI, businesses can improve customer satisfaction, reduce costs, and increase efficiency.

Sprig is an all-in-one product experience platform that leverages AI technology to provide actionable insights and recommendations for optimizing user experiences. It offers features such as Replays for capturing user behavior, Heatmaps for visualizing interactions, Surveys for collecting feedback, AI Explorer for holistic AI insights, and AI Recommendations for generating product solutions. Sprig helps product managers, user researchers, customer experience teams, and engineers to continuously improve their products by understanding user behavior, identifying pain points, and enhancing conversion rates.

Arcads is an AI-powered tool that transforms text into high-quality, emotionally resonant video ads. It uses advanced AI algorithms to generate authentic, realistic videos, all from the input text you provide. Arcads is ideal for brands and agencies marketing teams, especially those focusing on digital products, who need to create a high volume of video ads quickly and efficiently. It's perfect for those looking to enhance ad performance while reducing production time and costs.

Gleen AI is a highly accurate and capable generative AI platform designed for customer success. It leverages AI/ML systems like GPT-4 to provide accurate and relevant responses to customer queries. The platform can perform automatic actions, unify fragmented knowledge from various sources, and is used by over 250 companies to enhance customer interactions and support. Gleen AI is suitable for multiple functions across different industries, offering a seamless integration with various customer service and communication channels.

TextSynth is an AI tool that provides access to large language or text-to-image models through a REST API and a playground. It offers services such as text completion, question answering, classification, chat, translation, image generation, and speech-to-text transcription. The platform employs custom inference code for faster inference on standard GPUs and CPUs. Founded in 2020, TextSynth was among the first to provide access to the GPT-2 language model. While the basic service is free with rate limitations, users can opt for unlimited access by paying a small fee per request. For custom support, users can contact the platform via email.

Car Concepts AI is an innovative AI-driven application that allows users to create stunning car wrap designs effortlessly. With over 10,000 car concepts created and 9,100 happy customers, Car Concepts AI is the go-to platform for transforming your vehicle's appearance. The application offers both Basic and Advanced modes for generating single image designs, catering to both simple and complex projects. Users can upload images, provide additional details, and let the AI algorithm generate unique and creative car wrap designs based on their preferences. With a user-friendly interface and a wide range of customization options, Car Concepts AI is the ultimate tool for elevating your car's style.

Autofillr is an AI-powered Chrome extension that automates form filling, making it accurate, secure, and effortless. It utilizes advanced AI technology to understand and learn the structure of web forms, enabling it to detect and fill out a wide variety of forms with precision. Autofillr goes beyond basic fields like names and addresses, aiming to make any form a one-click experience. It continuously enhances its technology to provide a streamlined and efficient online experience for users.

Replit is a software creation platform that provides an integrated development environment (IDE), artificial intelligence (AI) assistance, and deployment services. It allows users to build, test, and deploy software projects directly from their browser, without the need for local setup or configuration. Replit offers real-time collaboration, code generation, debugging, and autocompletion features powered by AI. It supports multiple programming languages and frameworks, making it suitable for a wide range of development projects.

CB-Tumblebug (CB-TB) is a system for managing multi-cloud infrastructure consisting of resources from multiple cloud service providers. It provides an overview, features, and architecture. The tool supports various cloud providers and resource types, with ongoing development and localization efforts. Users can deploy a multi-cloud infra with GPUs, enjoy multiple LLMs in parallel, and utilize LLM-related scripts. The tool requires Linux, Docker, Docker Compose, and Golang for building the source. Users can run CB-TB with Docker Compose or from the Makefile, set up prerequisites, contribute to the project, and view a list of contributors. The tool is licensed under an open-source license.

The Slack Bot is a tool designed to enhance the workflow of development teams by integrating with Jenkins, GitHub, GitLab, and Jira. It allows for custom commands, macros, crons, and project-specific commands to be implemented easily. Users can interact with the bot through Slack messages, execute commands, and monitor job progress. The bot supports features like starting and monitoring Jenkins jobs, tracking pull requests, querying Jira information, creating buttons for interactions, generating images with DALL-E, playing quiz games, checking weather, defining custom commands, and more. Configuration is managed via YAML files, allowing users to set up credentials for external services, define custom commands, schedule cron jobs, and configure VCS systems like Bitbucket for automated branch lookup in Jenkins triggers.

Peter Cat is an intelligent Q&A chatbot solution designed for community maintainers and developers. It provides a conversational Q&A agent configuration system, self-hosting deployment solutions, and a convenient integrated application SDK. Users can easily create intelligent Q&A chatbots for their GitHub repositories and quickly integrate them into various official websites or projects to provide more efficient technical support for the community.

The 'awesome-mobile-robotics' repository is a curated list of important content related to Mobile Robotics and AI. It includes resources such as courses, books, datasets, software and libraries, podcasts, conferences, journals, companies and jobs, laboratories and research groups, and miscellaneous resources. The repository covers a wide range of topics in the field of Mobile Robotics and AI, providing valuable information for enthusiasts, researchers, and professionals in the domain.

OpenAI-DotNet is a simple C# .NET client library for OpenAI to use through their RESTful API. It is independently developed and not an official library affiliated with OpenAI. Users need an OpenAI API account to utilize this library. The library targets .NET 6.0 and above, working across various platforms like console apps, winforms, wpf, asp.net, etc., and on Windows, Linux, and Mac. It provides functionalities for authentication, interacting with models, assistants, threads, chat, audio, images, files, fine-tuning, embeddings, and moderations.

com.openai.unity is an OpenAI package for Unity that allows users to interact with OpenAI's API through RESTful requests. It is independently developed and not an official library affiliated with OpenAI. Users can fine-tune models, create assistants, chat completions, and more. The package requires Unity 2021.3 LTS or higher and can be installed via Unity Package Manager or Git URL. Various features like authentication, Azure OpenAI integration, model management, thread creation, chat completions, audio processing, image generation, file management, fine-tuning, batch processing, embeddings, and content moderation are available.

Backend.AI Web UI is a user-friendly web and app interface designed to make AI accessible for end-users, DevOps, and SysAdmins. It provides features for session management, inference service management, pipeline management, storage management, node management, statistics, configurations, license checking, plugins, help & manuals, kernel management, user management, keypair management, manager settings, proxy mode support, service information, and integration with the Backend.AI Web Server. The tool supports various devices, offers a built-in websocket proxy feature, and allows for versatile usage across different platforms. Users can easily manage resources, run environment-supported apps, access a web-based terminal, use Visual Studio Code editor, manage experiments, set up autoscaling, manage pipelines, handle storage, monitor nodes, view statistics, configure settings, and more.

ManipVQA is a framework that enhances Multimodal Large Language Models (MLLMs) with manipulation-centric knowledge through a Visual Question-Answering (VQA) format. It addresses the deficiency of conventional MLLMs in understanding affordances and physical concepts crucial for manipulation tasks. By infusing robotics-specific knowledge, including tool detection, affordance recognition, and physical concept comprehension, ManipVQA improves the performance of robots in manipulation tasks. The framework involves fine-tuning MLLMs with a curated dataset of interactive objects, enabling robots to understand and execute natural language instructions more effectively.

Towhee is a cutting-edge framework designed to streamline the processing of unstructured data through the use of Large Language Model (LLM) based pipeline orchestration. It can extract insights from diverse data types like text, images, audio, and video files using generative AI and deep learning models. Towhee offers rich operators, prebuilt ETL pipelines, and a high-performance backend for efficient data processing. With a Pythonic API, users can build custom data processing pipelines easily. Towhee is suitable for tasks like sentence embedding, image embedding, video deduplication, question answering with documents, and cross-modal retrieval based on CLIP.

The NeMo Framework Launcher is a cloud-native tool designed for launching end-to-end NeMo Framework training jobs. It focuses on foundation model training for generative AI models, supporting large language model pretraining with techniques like model parallelism, tensor, pipeline, sequence, distributed optimizer, mixed precision training, and more. The tool scales to thousands of GPUs and can be used for training LLMs on trillions of tokens. It simplifies launching training jobs on cloud service providers or on-prem clusters, generating submission scripts, organizing job results, and supporting various model operations like fine-tuning, evaluation, export, and deployment.

Home LLM is a project that provides the necessary components to control your Home Assistant installation with a completely local Large Language Model acting as a personal assistant. The goal is to provide a drop-in solution to be used as a "conversation agent" component by Home Assistant. The 2 main pieces of this solution are Home LLM and Llama Conversation. Home LLM is a fine-tuning of the Phi model series from Microsoft and the StableLM model series from StabilityAI. The model is able to control devices in the user's house as well as perform basic question and answering. The fine-tuning dataset is a custom synthetic dataset designed to teach the model function calling based on the device information in the context. Llama Conversation is a custom component that exposes the locally running LLM as a "conversation agent" in Home Assistant. This component can be interacted with in a few ways: using a chat interface, integrating with Speech-to-Text and Text-to-Speech addons, or running the oobabooga/text-generation-webui project to provide access to the LLM via an API interface.

The WhatsApp AI Assistant repository offers a chatbot named Sydney that serves as an AI-powered personal assistant. It utilizes Language Model (LLM) technology to provide various features such as Google/Bing searching, Google Calendar integration, communication capabilities, group chat compatibility, voice message support, basic text reminders, image recognition, and more. Users can interact with Sydney through natural language queries and voice messages. The chatbot can transcribe voice messages using either the Whisper API or a local method. Additionally, Sydney can be used in group chats by mentioning her username or replying to her last message. The repository welcomes contributions in the form of issue reports, pull requests, and requests for new tools. The creators of the project, Veigamann and Luisotee, are open to job opportunities and can be contacted through their GitHub profiles.

The llms-txt repository proposes a standardization on using an `/llms.txt` file to provide information to help large language models (LLMs) use a website at inference time. The `llms.txt` file is a markdown file that offers brief background information, guidance, and links to more detailed information in markdown files. It aims to provide concise and structured information for LLMs to access easily, helping users interact with websites via AI helpers. The repository also includes tools like a CLI and Python module for parsing `llms.txt` files and generating LLM context from them, along with a sample JavaScript implementation. The proposal suggests adding clean markdown versions of web pages alongside the original HTML pages to facilitate LLM readability and access to essential information.

The discourse-chatbot is an original AI chatbot for Discourse forums that allows users to converse with the bot in posts or chat channels. Users can customize the character of the bot, enable RAG mode for expert answers, search Wikipedia, news, and Google, provide market data, perform accurate math calculations, and experiment with vision support. The bot uses cutting-edge Open AI API and supports Azure and proxy server connections. It includes a quota system for access management and can be used in RAG mode or basic bot mode. The setup involves creating embeddings to make the bot aware of forum content and setting up bot access permissions based on trust levels. Users must obtain an API token from Open AI and configure group quotas to interact with the bot. The plugin is extensible to support other cloud bots and content search beyond the provided set.

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

**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.

This repository provides the latest implementation for the AI Horde Worker, allowing users to utilize their graphics card(s) to generate, post-process, or analyze images for others. It offers a platform where users can create images and earn 'kudos' in return, granting priority for their own image generations. The repository includes important details for setup, recommendations for system configurations, instructions for installation on Windows and Linux, basic usage guidelines, and information on updating the AI Horde Worker. Users can also run the worker with multiple GPUs and receive notifications for updates through Discord. Additionally, the repository contains models that are licensed under the CreativeML OpenRAIL License.

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