Best AI tools for< Recommend Tasks >

Pallie is an AI assistant designed to help users with various tasks and activities. It utilizes artificial intelligence technology to provide personalized assistance and support in everyday life. From managing schedules to answering queries, Pallie aims to streamline and simplify daily routines. With its intuitive interface and advanced algorithms, Pallie offers a seamless user experience that adapts to individual preferences and needs.

Monoid is an AI tool that transforms APIs into AI Agents, enabling Large Language Models (LLMs) to act in real-time with relevant context. Users can create customizable Agents in minutes, simulate AI Agents using APIs, chat with Agents, and share Actions on the Hub. Monoid offers use-cases like Shopping Assistant, Customer Support Agent, and Workflow Automator to help businesses streamline processes and enhance customer interactions.

VanChat is an AI shopping assistant designed to boost Shopify sales by accurately answering customer questions, understanding buyer intent, personalizing interactions, suggesting products, and ultimately increasing sales. It automates tasks like order checking and updating, offers personalized product recommendations, and proactively engages customers to drive purchases. VanChat continuously learns from store data in real-time to provide accurate responses and tailored suggestions. The platform aims to enhance user satisfaction, improve customer service, and increase revenue for online businesses.

Eva AI is an innovative AI tool designed to be your virtual assistant and friend. It utilizes advanced artificial intelligence algorithms to provide personalized assistance in various aspects of your life. From scheduling appointments to recommending movies, Eva AI is here to make your daily tasks easier and more enjoyable. With its intuitive interface and natural language processing capabilities, interacting with Eva AI feels like chatting with a real friend. Whether you need help organizing your schedule or just want someone to talk to, Eva AI is always there for you.

apnaAI is India's premier multilingual generative AI application that aims to empower India in the AI revolution. It provides users with AI companions that can assist in various tasks and conversations in multiple languages. The app is designed to enhance user experience and make AI technology more accessible to a wider audience, catering to the diverse linguistic landscape of India.

Character.ai is an AI tool that provides personalized AI solutions for various aspects of your daily life. It offers tailored AI assistance to help you navigate through different tasks and activities efficiently. Whether you need assistance with scheduling, productivity, or entertainment, Character.ai aims to enhance your daily experiences through AI technology.

灵办AI is a free AI assistant for learning and office tasks. It provides users with various AI-powered features to enhance productivity and efficiency in both educational and professional settings. The tool offers a user-friendly interface and supports multiple languages, making it accessible to a diverse user base. With its advanced algorithms, 灵办AI aims to simplify complex tasks and streamline workflows, ultimately saving users time and effort.

vnm.ai is an AI tool that offers a range of innovative solutions for creators and businesses. The platform focuses on leveraging artificial intelligence to enhance various aspects of content creation, marketing, and business operations. With a user-friendly interface and cutting-edge technology, vnm.ai aims to empower users with advanced AI capabilities to streamline their workflows and achieve better results.

Chub Venus AI is an advanced artificial intelligence tool designed to assist users in various tasks. It utilizes cutting-edge AI algorithms to provide accurate and efficient solutions. The tool is user-friendly and offers a wide range of features to enhance productivity and decision-making processes.

Pinecone is a vector database designed to build knowledgeable AI applications. It offers a serverless platform with high capacity and low cost, enabling users to perform low-latency vector search for various AI tasks. Pinecone is easy to start and scale, allowing users to create an account, upload vector embeddings, and retrieve relevant data quickly. The platform combines vector search with metadata filters and keyword boosting for better application performance. Pinecone is secure, reliable, and cloud-native, making it suitable for powering mission-critical AI applications.

Checkfu is an AI tool designed to assist teachers in various educational tasks. It offers a range of features such as creating lesson plans, generating visual aids, providing coding standards, and more. The application aims to streamline teaching processes and enhance the learning experience for both educators and students.

Sana AI is an advanced artificial intelligence tool designed to assist users in various tasks. It utilizes cutting-edge AI algorithms to provide accurate and efficient solutions. The tool is user-friendly and offers a wide range of features to enhance productivity and decision-making processes. Sana AI is suitable for individuals and businesses looking to streamline their operations and improve overall efficiency.

Bloc is an AI-powered chat assistant application that enables users to create and share chatbots effortlessly. It helps in enhancing sales and support experiences by providing exceptional customer support, automating repetitive tasks, and integrating with various apps like Notion, Google Drive, Figma, and Slack. With Bloc, users can centralize their knowledge base, automate frequently asked questions, and revolutionize team productivity through Q/A. The application is designed to empower businesses by leveraging AI chatbots to increase sales, boost customer satisfaction, and streamline operations.

Yakkr Growth is an AI-powered platform designed to help streamers grow their online presence effortlessly. The platform automates time-consuming tasks such as creating engaging social media content, optimizing stream titles, generating event ideas, and recommending hashtags. It also offers features like a Growth Dashboard, consultancy calls, mentorship, and a collaborative community to support streamers in achieving their goals. Yakkr Growth aims to save time, boost motivation, and help streamers grow their audience and income by leveraging AI technology.

AskMetric is an AI-powered tool designed to empower merchants with comprehensive platform data and insights. It utilizes AI technology to provide answers and assistance in various tasks such as metrics visualization, keyword searching, and recommendations for product, platform, and advertising strategies. Users can explore omnichannel digital commerce reports, reveal product metrics, gain deep insights across e-commerce platforms, and monitor core metrics of products in real-time. AskMetric aims to help businesses make informed decisions and stay competitive in the market.

JobWizard is an AI-powered Chrome extension that serves as a Job Application Copilot, offering a range of features to enhance job application processes. It provides users with tools to optimize resumes, generate custom responses, analyze job descriptions, recommend similar jobs, and more. JobWizard aims to streamline job application tasks by leveraging AI technology to improve accuracy, efficiency, and overall success rates for job seekers.

Hanooman.AI is an advanced artificial intelligence tool that leverages machine learning algorithms to provide intelligent solutions for various industries. The application offers a wide range of features such as natural language processing, image recognition, predictive analytics, and personalized recommendations. With Hanooman.AI, users can automate repetitive tasks, gain valuable insights from data, and enhance decision-making processes. The platform is designed to be user-friendly and scalable, making it suitable for both individuals and businesses looking to harness the power of AI technology.

Minduck is an AI-powered generating platform that helps users unleash their creativity and productivity. It offers features such as automatic analysis of words, recommendation of creation types, visualizations of ideas, and deepening of concepts with AI. Trusted by users from various backgrounds, Minduck simplifies tasks like image generation, content creation, and idea expansion. With its intuitive human creativity and AI efficiency, Minduck aims to assist users in taking the first step beyond ideas and turning them into reality.

Researcher.Life is a comprehensive research support platform that provides AI-powered tools and expert publication services to empower researchers at every stage of their journey. With a suite of advanced AI tools, including Paperpal, R Discovery, and Mind the Graph, Researcher.Life helps researchers write better, discover relevant literature, create stunning scientific illustrations, and find the right journals for their work. Additionally, Researcher.Life offers expert publication services from Editage, ensuring that manuscripts are polished and ready for publication. By combining AI technology with human expertise, Researcher.Life simplifies complex research tasks, saves time, and accelerates the path to success for researchers worldwide.

MiMi is a website intelligence tool that uses AI to enhance the user experience and drive sales. It offers a range of features including semantic search, chatbot, recommendations, virtual assistant, dynamic pricing, and automation. MiMi's AI engine can automatically learn and update knowledge from your site to provide an AI chatbot that can answer questions from visitors automatically. The machine learning algorithms can also learn from your site products and visitor behavior to bring recommender systems for your site. MiMi's AI algorithm serves as a virtual sales assistant, assisting websites in making flexible and tailored pricing decisions for each customer based on their behavior.

This repository is a collection of papers on leveraging Large Language Models (LLMs) in Graph Tasks. It provides a comprehensive overview of how LLMs can enhance graph-related tasks by combining them with traditional Graph Neural Networks (GNNs). The integration of LLMs with GNNs allows for capturing both structural and contextual aspects of nodes in graph data, leading to more powerful graph learning. The repository includes summaries of various models that leverage LLMs to assist in graph-related tasks, along with links to papers and code repositories for further exploration.

Botright is a tool designed for browser automation that focuses on stealth and captcha solving. It uses a real Chromium-based browser for enhanced stealth and offers features like browser fingerprinting and AI-powered captcha solving. The tool is suitable for developers looking to automate browser tasks while maintaining anonymity and bypassing captchas. Botright is available in async mode and can be easily integrated with existing Playwright code. It provides solutions for various captchas such as hCaptcha, reCaptcha, and GeeTest, with high success rates. Additionally, Botright offers browser stealth techniques and supports different browser functionalities for seamless automation.

The Cradle project is a framework designed for General Computer Control (GCC), empowering foundation agents to excel in various computer tasks through strong reasoning abilities, self-improvement, and skill curation. It provides a standardized environment with minimal requirements, constantly evolving to support more games and software. The repository includes released versions, publications, and relevant assets.

AutoGen is a framework that enables the development of LLM applications using multiple agents that can converse with each other to solve tasks. AutoGen agents are customizable, conversable, and seamlessly allow human participation. They can operate in various modes that employ combinations of LLMs, human inputs, and tools.

MINT benchmark aims to evaluate LLMs' ability to solve tasks with multi-turn interactions by (1) using tools and (2) leveraging natural language feedback.

Agentq is a tool that utilizes various agentic architectures to complete tasks on the web reliably. It includes a planner-navigator multi-agent architecture, a solo planner-actor agent, an actor-critic multi-agent architecture, and an actor-critic architecture with reinforcement learning and DPO finetuning. The repository also contains an open-source implementation of the research paper 'Agent Q'. Users can set up the tool by installing dependencies, starting Chrome in dev mode, and setting up necessary environment variables. The tool can be run to perform various tasks related to autonomous AI agents.

QANTA is a system and dataset for question answering tasks. It provides a script to download datasets, preprocesses questions, and matches them with Wikipedia pages. The system includes various datasets, training, dev, and test data in JSON and SQLite formats. Dependencies include Python 3.6, `click`, and NLTK models. Elastic Search 5.6 is needed for the Guesser component. Configuration is managed through environment variables and YAML files. QANTA supports multiple guesser implementations that can be enabled/disabled. Running QANTA involves using `cli.py` and Luigi pipelines. The system accesses raw Wikipedia dumps for data processing. The QANTA ID numbering scheme categorizes datasets based on events and competitions.

Deep-Live-Cam is a software tool designed to assist artists in tasks such as animating custom characters or using characters as models for clothing. The tool includes built-in checks to prevent unethical applications, such as working on inappropriate media. Users are expected to use the tool responsibly and adhere to local laws, especially when using real faces for deepfake content. The tool supports both CPU and GPU acceleration for faster processing and provides a user-friendly GUI for swapping faces in images or videos.

ToolMate AI is an advanced AI companion that integrates agents, tools, and plugins to excel in conversations, generative work, and task execution. It supports multi-step actions, allowing users to customize workflows for tackling complex projects with ease. The tool offers a wide range of AI backends and models, including Ollama, Llama.cpp, Groq Cloud API, OpenAI API, and Google Gemini via Vertex AI. Users can easily switch between backends and leverage AI models like wizardlm2 and mixtral. ToolMate AI stands out for its distinctive features such as tool calling for any LLMs, running multiple tools in one go, highly customizable plugins, and integration with popular AI tools. It also supports quick tool calling using '@' notation and enables the execution of computing tasks on demand. With features like multiple tools in one go, customizable plugins, system command and fabric integration, GPU offloading support, real-time data access, and device information retrieval, ToolMate AI offers a comprehensive solution for various tasks and content creation.

Apache Airflow (or simply Airflow) is a platform to programmatically author, schedule, and monitor workflows. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative. Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed.

AutoGPT is a revolutionary tool that empowers everyone to harness the power of AI. With AutoGPT, you can effortlessly build, test, and delegate tasks to AI agents, unlocking a world of possibilities. Our mission is to provide the tools you need to focus on what truly matters: innovation and creativity.

ChaiNNer is a node-based image processing GUI aimed at making chaining image processing tasks easy and customizable. It gives users a high level of control over their processing pipeline and allows them to perform complex tasks by connecting nodes together. ChaiNNer is cross-platform, supporting Windows, MacOS, and Linux. It features an intuitive drag-and-drop interface, making it easy to create and modify processing chains. Additionally, ChaiNNer offers a wide range of nodes for various image processing tasks, including upscaling, denoising, sharpening, and color correction. It also supports batch processing, allowing users to process multiple images or videos at once.

DistiLlama is a Chrome extension that leverages a locally running Large Language Model (LLM) to perform various tasks, including text summarization, chat, and document analysis. It utilizes Ollama as the locally running LLM instance and LangChain for text summarization. DistiLlama provides a user-friendly interface for interacting with the LLM, allowing users to summarize web pages, chat with documents (including PDFs), and engage in text-based conversations. The extension is easy to install and use, requiring only the installation of Ollama and a few simple steps to set up the environment. DistiLlama offers a range of customization options, including the choice of LLM model and the ability to configure the summarization chain. It also supports multimodal capabilities, allowing users to interact with the LLM through text, voice, and images. DistiLlama is a valuable tool for researchers, students, and professionals who seek to leverage the power of LLMs for various tasks without compromising data privacy.

Taiyi (太一) is a bilingual large language model fine-tuned for diverse biomedical tasks. It aims to facilitate communication between healthcare professionals and patients, provide medical information, and assist in diagnosis, biomedical knowledge discovery, drug development, and personalized healthcare solutions. The model is based on the Qwen-7B-base model and has been fine-tuned using rich bilingual instruction data. It covers tasks such as question answering, biomedical dialogue, medical report generation, biomedical information extraction, machine translation, title generation, text classification, and text semantic similarity. The project also provides standardized data formats, model training details, model inference guidelines, and overall performance metrics across various BioNLP tasks.

PPL LLM Serving is a serving based on ppl.nn for various Large Language Models (LLMs). It provides inference support for LLaMA. Key features include: * **High Performance:** Optimized for fast and efficient inference on LLM models. * **Scalability:** Supports distributed deployment across multiple GPUs or machines. * **Flexibility:** Allows for customization of model configurations and inference pipelines. * **Ease of Use:** Provides a user-friendly interface for deploying and managing LLM models. This tool is suitable for various tasks, including: * **Text Generation:** Generating text, stories, or code from scratch or based on a given prompt. * **Text Summarization:** Condensing long pieces of text into concise summaries. * **Question Answering:** Answering questions based on a given context or knowledge base. * **Language Translation:** Translating text between different languages. * **Chatbot Development:** Building conversational AI systems that can engage in natural language interactions. Keywords: llm, large language model, natural language processing, text generation, question answering, language translation, chatbot development

**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.

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.

CrewAI quickstart is a small project providing starter templates for an easy start with CrewAI. It includes notebooks, Python scripts, GUI with Streamlit, and Local LLMs for various tasks like web search, CSV lookup, web scraping, PDF search, and more. Contributions are welcome to enhance the project.

Scientific Large Language Models (Sci-LLMs) is a repository that collects papers on scientific large language models, focusing on biology and chemistry domains. It includes textual, molecular, protein, and genomic languages, as well as multimodal language. The repository covers various large language models for tasks such as molecule property prediction, interaction prediction, protein sequence representation, protein sequence generation/design, DNA-protein interaction prediction, and RNA prediction. It also provides datasets and benchmarks for evaluating these models. The repository aims to facilitate research and development in the field of scientific language modeling.

Bito CLI provides a command line interface to the Bito AI chat functionality, allowing users to interact with the AI through commands. It supports complex automation and workflows, with features like long prompts and slash commands. Users can install Bito CLI on Mac, Linux, and Windows systems using various methods. The tool also offers configuration options for AI model type, access key management, and output language customization. Bito CLI is designed to enhance user experience in querying AI models and automating tasks through the command line interface.

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Learn how to use ChatGPT effectively and ethically in work and business! I also recommend prompts and techniques for using ChatGPT well in work and business.

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