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The website page text is a collection of news articles in Arabic covering various topics such as technology, sports, and current events. It includes news about the UEFA Champions League, Barcelona FC, Erling Haaland, relationship advice, and more. The articles provide updates, analysis, and opinions on recent events and developments.

Milo is an AI-powered co-pilot for parents, designed to help them manage the chaos of family life. It uses GPT-4, the latest in large-language models, to sort and organize information, send reminders, and provide updates. Milo is designed to be accurate and solve complex problems, and it learns and gets better based on user feedback. It can be used to manage tasks such as adding items to a grocery list, getting updates on the week's schedule, and sending screenshots of birthday invitations.

DataGems is an AI copilot for marketers, offering a personalized AI assistant to automate marketing tasks, optimize campaigns with AI, and provide real-time updates. The platform allows users to choose goals for optimization, leverage AI-generated personas, run data-driven ad campaigns, and iterate on marketing copy using a gamification-style interface. DataGems empowers marketers to stay ahead by uncovering valuable, data-driven opportunities consistently.

Compliance.ai is a regulatory compliance and risk management solution that leverages purpose-built machine learning models to automatically monitor regulatory updates and align them with internal policies, procedures, and controls. The platform ensures timely tracking, reaction, and reporting on impactful regulations and requirements, helping organizations mitigate risks, reduce costs, and increase confidence in compliance status. Compliance.ai offers a comprehensive suite of features and capabilities to streamline regulatory intelligence, impact analysis, change management, audit reporting, enforcement actions management, and more.

Sybill is an AI-powered personal assistant designed specifically for sales teams. It uses advanced natural language processing (NLP) and machine learning algorithms to analyze sales conversations, identify key insights, and automate tasks. With Sybill, sales teams can save time, improve productivity, and close more deals.

ROSS Intelligence is a legal tech platform that leverages artificial intelligence to provide legal research solutions. It offers a comprehensive collection of statutes, regulations, and legal resources for all 50 states in the U.S. The platform enables legal professionals to conduct efficient and accurate legal research, stay updated on the latest legal news, and access AI-powered tools for enhancing their legal practice.

AI Star is a comprehensive hub of top AI tools catering to various domains such as business, creativity, education, and more. The website offers a collection of free AI tools, blogs, and new AI tool updates. Users can explore a range of AI applications designed to enhance productivity, creativity, and decision-making processes across different industries. AI Star aims to provide accessible and innovative AI solutions to meet the evolving needs of businesses and individuals.

The website is an AI tool focused on providing news, insights, and updates on the application of artificial intelligence in the healthcare industry. It covers a wide range of topics such as digital transformation, care delivery, and AI regulations. The platform aims to educate and inform healthcare professionals, industry watchers, and stakeholders about the latest trends, challenges, and opportunities in leveraging AI for improving patient care and healthcare operations.

Momentum is an AI-powered sales automation tool that extracts and structures data from sales and customer service calls, providing actionable insights that sync directly with CRM systems like Salesforce. It automates note-taking, call summaries, and workflow approvals, enhancing sales efficiency and customer engagement. Momentum integrates with popular tools like Slack and Zoom to streamline communication and provide valuable insights to revenue teams. The platform aims to optimize sales processes, improve data capture, and enhance coaching scalability for high-performing revenue teams.

AiToolsPedia is an AI tool directory that offers a comprehensive list of AI tools for various purposes such as writing, marketing, paraphrasing, SEO, studying, generating, researching, art, music, video, coding, and more. Users can explore and discover their favorite AI tools for free, with daily updates to the directory. Additionally, AiToolsPedia provides a startup list for AI tool developers and allows free submissions to enhance SEO. The directory aims to support all kinds of AI tools and features a wide range of categories to cater to diverse user needs.

Better AI Tools Directory is a platform that offers a comprehensive collection of AI tools for various purposes such as writing, marketing, SEO, research, art, music, video, coding, and more. Users can explore, discover, and access a wide range of AI tools to enhance their productivity and achieve better results. The platform aims to provide a user-friendly experience by curating the best AI tools available and ensuring regular updates to keep users informed about the latest advancements in AI technology.

Timmy is an AI spending buddy designed to help users save money faster and grow their wealth. It provides personalized spending suggestions, tracks spending in real-time, suggests budgets, and offers weekly tasks to achieve financial goals. Users can subscribe to the newsletter for product updates and releases, but should exercise caution and seek professional advice for financial decisions.

The website is a comprehensive AI directory platform that showcases a wide range of AI tools and applications. Users can explore and discover various AI-powered tools for different purposes, such as writing, marketing, paraphrasing, SEO, study, generating content, research, art, music, video, coding, photo editing, and more. The platform offers a free listing service for AI tool developers and is regularly updated with new tools. Users can easily navigate through the directory to find and access their favorite AI tools. Additionally, the platform provides information on how to submit AI tools, the categories supported, and the frequency of updates. The content is generated by GPT-4o from OpenAI, ensuring high-quality descriptions and details about the listed AI tools.

SeekAIs is an AI Directory platform dedicated to providing the latest information on AI tools and technology. It gathers various AI tools, APIs, and application examples to help users understand and select AI solutions that suit their needs. Whether you're a developer, researcher, or business decision-maker, SeekAIs offers valuable resources and guidance to leverage AI technology for innovation and added value. The platform aims to be a premier source of information in the field of artificial intelligence through continuous updates and comprehensive content.

Cheerlink is an AI application that offers a proactive AI shop assistant to help businesses convert and delight customers effortlessly. It provides conversational AI capabilities, AI product recommendations, and personalized support to enhance customer experience. Cheerlink integrates seamlessly with Shopify, supports multiple languages, and offers features like AI notes, customizable widgets, and built-in Shopify actions. The application is praised for its ease of use, quick setup, and continuous updates to add new functionalities.

Analog AI is an AI application designed as assistants for asynchronous communication with video conference calls while working remotely. It addresses the timezone problem by allowing users to share their progress with Analog human who will attend the call on their behalf. The application offers easy training, human-like cognitive capabilities, emotional intelligence, and the ability to express emotions and mood authentically. Analog AI aims to seamlessly integrate into team conversations and provide a unique digital experience.

Echo Point is an AI tool designed to provide practical tips, guides, and case studies for product managers to leverage AI in automating tasks, saving time, and enhancing productivity. Authored by Mustafa Kapadia, the platform aims to empower professionals with knowledge and resources to navigate the realm of AI in a practical and efficient manner.

Yatter AI is a powerful AI tool available on WhatsApp and Telegram, designed to enhance productivity, content writing, and career growth. It leverages top AI models and technologies from companies like ChatGPT, Google Gemini, Meta AI, and Groq AI to provide users with advanced features such as voice AI chat messaging, image detection, reminder scheduling, real-time weather updates, multilingual conversation support, and more. Yatter AI revolutionizes communication and information retrieval, offering seamless interactions and personalized experiences for users worldwide.

txyz.ai is an AI-powered platform that aims to integrate all paths to knowledge. It leverages artificial intelligence algorithms to provide users with a comprehensive and efficient way to access and organize information. The platform offers a user-friendly interface that allows individuals to streamline their research process, gather insights, and make data-driven decisions. With txyz.ai, users can explore diverse sources of information, extract valuable insights, and stay updated on the latest trends in their field of interest.

Skyline AI is an AI tool that specializes in the analysis of commercial real estate properties. It offers a platform for faster and more comprehensive evaluation of real estate investments. The tool leverages artificial intelligence to provide state-of-the-art updates on real estate and technology, enabling users to make informed decisions in the real estate sector.

This project is a port of Andrej Karpathy's llm.c to Mojo, currently in beta. It is under active development and subject to changes. Users should expect to encounter bugs and unfinished features.

PhotoPrism is an AI-powered photos app for the decentralized web. It uses the latest technologies to tag and find pictures automatically without getting in your way. You can run it at home, on a private server, or in the cloud.

Supercharge WordPress Content Workflows and Engagement with Artificial Intelligence. Tap into leading cloud-based services like OpenAI, Microsoft Azure AI, Google Gemini and IBM Watson to augment your WordPress-powered websites. Publish content faster while improving SEO performance and increasing audience engagement. ClassifAI integrates Artificial Intelligence and Machine Learning technologies to lighten your workload and eliminate tedious tasks, giving you more time to create original content that matters.

Linly-Talker is an innovative digital human conversation system that integrates the latest artificial intelligence technologies, including Large Language Models (LLM) 🤖, Automatic Speech Recognition (ASR) 🎙️, Text-to-Speech (TTS) 🗣️, and voice cloning technology 🎤. This system offers an interactive web interface through the Gradio platform 🌐, allowing users to upload images 📷 and engage in personalized dialogues with AI 💬.

This repository, named swe-books-collection, was previously used to store a collection of software engineering books. However, due to limitations with LFS, the books have been moved to a Notion page. The repository now serves as a place to provide information and updates related to the software engineering books collection. Users can access the Notion page for the full collection. The repository aims to provide convenience in finding desired software engineering books.

Comfyui-Aix-NodeMap is a project by the Aix team to organize and annotate the latest nodes in Comfyui. It aims to address the challenge of finding nodes effectively as their number increases. The project is continuously updated every 7 days, with the opportunity for users to provide feedback on any omissions or errors. The team respects developers' opinions and strives to make corrections promptly. The project is part of Aix's vision to make humanity more efficient through open-source contributions, including daily updates on workflow, AI information, and node introductions.

Awesome-AISourceHub is a repository that collects high-quality information sources in the field of AI technology. It serves as a synchronized source of information to avoid information gaps and information silos. The repository aims to provide valuable resources for individuals such as AI book authors, enterprise decision-makers, and tool developers who frequently use Twitter to share insights and updates related to AI advancements. The platform emphasizes the importance of accessing information closer to the source for better quality content. Users can contribute their own high-quality information sources to the repository by following specific steps outlined in the contribution guidelines. The repository covers various platforms such as Twitter, public accounts, knowledge planets, podcasts, blogs, websites, YouTube channels, and more, offering a comprehensive collection of AI-related resources for individuals interested in staying updated with the latest trends and developments in the AI field.

The 'linktre-tools' repository is a collection of tools and resources for independent developers, AI products, cross-border e-commerce, and self-media office assistance. It aims to provide a curated list of tools and products in these areas. Users are encouraged to contribute by submitting pull requests and raising issues for continuous updates. The repository covers a wide range of topics including AI tools, independent development tools, popular AI products, tools for web development, online tools, media operations, and cross-border e-commerce resources.

AI Runner is a multi-modal AI interface that allows users to run open-source large language models and AI image generators on their own hardware. The tool provides features such as voice-based chatbot conversations, text-to-speech, speech-to-text, vision-to-text, text generation with large language models, image generation capabilities, image manipulation tools, utility functions, and more. It aims to provide a stable and user-friendly experience with security updates, a new UI, and a streamlined installation process. The application is designed to run offline on users' hardware without relying on a web server, offering a smooth and responsive user experience.

RookieAI_yolov8 is an open-source project designed for developers and users interested in utilizing YOLOv8 models for object detection tasks. The project provides instructions for setting up the required libraries and Pytorch, as well as guidance on using custom or official YOLOv8 models. Users can easily train their own models and integrate them with the software. The tool offers features for packaging the code, managing model files, and organizing the necessary resources for running the software. It also includes updates and optimizations for better performance and functionality, with a focus on FPS game aimbot functionalities. The project aims to provide a comprehensive solution for object detection tasks using YOLOv8 models.

The Neo4j GenAI Workshop repository contains notebooks for a workshop focusing on building a Neo4j Graph, text embedding, and providing demos for content generation. The workshop includes data staging, loading, and exploration using Cypher queries. It also covers improvements in LLM response quality, GPT-4 usage, and vector search speed. The repository has undergone multiple updates to enhance course quality, simplify content, and provide better explainers and examples.

**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.

LearnHouse is an open-source platform that allows anyone to easily provide world-class educational content. It supports various content types, including dynamic pages, videos, and documents. The platform is still in early development and should not be used in production environments. However, it offers several features, such as dynamic Notion-like pages, ease of use, multi-organization support, support for uploading videos and documents, course collections, user management, quizzes, course progress tracking, and an AI-powered assistant for teachers and students. LearnHouse is built using various open-source projects, including Next.js, TailwindCSS, Radix UI, Tiptap, FastAPI, YJS, PostgreSQL, LangChain, and React.

Pathway's LLM (Large Language Model) Apps provide a platform to quickly deploy AI applications using the latest knowledge from data sources. The Python application examples in this repository are Docker-ready, exposing an HTTP API to the frontend. These apps utilize the Pathway framework for data synchronization, API serving, and low-latency data processing without the need for additional infrastructure dependencies. They connect to document data sources like S3, Google Drive, and Sharepoint, offering features like real-time data syncing, easy alert setup, scalability, monitoring, security, and unification of application logic.

Emeltal is a local ML voice chat tool that uses high-end models to provide a self-contained, user-friendly out-of-the-box experience. It offers a hand-picked list of proven open-source high-performance models, aiming to provide the best model for each category/size combination. Emeltal heavily relies on the llama.cpp for LLM processing, and whisper.cpp for voice recognition. Text rendering uses Ink to convert between Markdown and HTML. It uses PopTimer for debouncing things. Emeltal is released under the terms of the MIT license, and all model data which is downloaded locally by the app comes from HuggingFace, and use of the models and data is subject to the respective license of each specific model.

This repository serves as a comprehensive hub for updates on generative AI research, interview materials, notebooks, and more. It includes monthly best GenAI papers list, interview resources, free courses, and code repositories/notebooks for developing generative AI applications. The repository is regularly updated with the latest additions to keep users informed and engaged in the field of generative AI.

Swiftide is a fast, streaming indexing and query library tailored for Retrieval Augmented Generation (RAG) in AI applications. It is built in Rust, utilizing parallel, asynchronous streams for blazingly fast performance. With Swiftide, users can easily build AI applications from idea to production in just a few lines of code. The tool addresses frustrations around performance, stability, and ease of use encountered while working with Python-based tooling. It offers features like fast streaming indexing pipeline, experimental query pipeline, integrations with various platforms, loaders, transformers, chunkers, embedders, and more. Swiftide aims to provide a platform for data indexing and querying to advance the development of automated Large Language Model (LLM) applications.

Awesome AI Newsletters is a curated list of AI-related newsletters that provide the latest news, trends, tools, and insights in the field of Artificial Intelligence. It includes a variety of newsletters covering general AI news, prompts for marketing and productivity, AI job opportunities, and newsletters tailored for professionals in the AI industry. Whether you are a beginner looking to stay updated on AI advancements or a professional seeking to enhance your knowledge and skills, this repository offers a collection of valuable resources to help you navigate the world of AI.

RAGFlow is an open-source Retrieval-Augmented Generation (RAG) engine that combines deep document understanding with Large Language Models (LLMs) to provide accurate question-answering capabilities. It offers a streamlined RAG workflow for businesses of all sizes, enabling them to extract knowledge from unstructured data in various formats, including Word documents, slides, Excel files, images, and more. RAGFlow's key features include deep document understanding, template-based chunking, grounded citations with reduced hallucinations, compatibility with heterogeneous data sources, and an automated and effortless RAG workflow. It supports multiple recall paired with fused re-ranking, configurable LLMs and embedding models, and intuitive APIs for seamless integration with business applications.

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Ask any question about Doctor Who past or present - try discussing any aspect of any story, or theme - or get the lowdown on the latest news.

NovaGenesis specialist, answering questions about the project and code. Keep in mind that GPT is not perfect. More about the project at: https://github.com/antonioalberti/novagenesis

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