Best AI tools for< Automate Pr Benchmarks >

Press Monkey AI is an AI-powered platform that revolutionizes the way press releases and campaigns are created, distributed, and managed. It offers a comprehensive solution for businesses and individuals to effortlessly generate high-quality press releases, reach out to a diverse network of influencers and media outlets, and automate the distribution process. With features like automated PR generation, diverse outreach to 5,000+ influencers, bloggers, and media professionals, guaranteed placement on news outlets, and a white-labeled distribution option, Press Monkey AI streamlines the PR process and maximizes outreach effectiveness. The platform is designed to simplify PR outreach, enhance brand visibility, and drive engagement through strategic media placements and influencer collaborations.

Gitya is an AI-powered GitHub assistant designed to streamline your GitHub workflow by automating minor tasks and enhancing productivity. With features like GitHub App integration, AI-enhanced automation, PR management, and ticket automation, Gitya aims to help users spend less time on busywork and more time on high-impact engineering tasks. Users have praised Gitya for its ability to reduce time spent on bug fixes and PR management, ultimately leading to increased project efficiency and success.

Adaptify is an automated SEO tool designed for agencies and businesses to streamline their SEO processes without manual labor. It offers features such as automated PR, link building, keyword strategy, content plans, and content creation with complete control. The tool helps users deliver SEO services efficiently and effectively, allowing them to focus on growing their business. Adaptify uses AI technology to provide personalized recommendations and deliver the full SEO package on autopilot.

Adaptify is an automated SEO tool designed for agencies and local businesses to deliver SEO services without manual labor. It offers features like automated PR, link building, keyword strategy, content plans, and content creation with complete control. The tool provides a full SEO package on autopilot, helping users with strategy, content, backlinks, and more. Adaptify uses AI to create custom content, backlinks, and SEO strategies, tailored to each site. It supports various CMS platforms and offers human review for non-standard platforms.

Digital God is an AI-powered tool that helps users attract new customers effortlessly by automating various sales and marketing tasks. It connects users with potential customers, manages interactions, and provides support on autopilot. The tool offers features such as automatic warm outreach, inbound mastery, automatic marketing and PR, handling support, and pricing based on successful results. With Digital God, users can expand their audience, engage with clients, and increase sales without upfront fees or contracts.

Howler is an AI-powered PR tool designed to help users get more press coverage for their projects or businesses. By leveraging artificial intelligence technology, Howler assists in crafting compelling press releases, identifying relevant media outlets, and optimizing outreach strategies. With Howler, users can streamline their PR efforts, increase visibility, and attract media attention more effectively. The tool aims to simplify the PR process and empower users to achieve greater success in gaining press coverage.

SEO Box is an automated AI-based PR and link-building opportunities monitoring tool that streamlines the quote submission process to matched opportunities. By setting up targeted keywords and filters, users receive timely notifications matching their expertise, saving time and effort. The tool allows users to focus on responses, build connections, and enhance their online presence and expert reputation. SEO Box monitors platforms such as HARO, Help A B2B Writer, and PASE, providing users with personalized opportunities in their email inbox.

The AI-Powered Press Release Generator by ITCOMMS Alexander Likhtman's PR Agency is a cutting-edge tool that leverages advanced artificial intelligence technologies to create high-quality and customized press releases in minutes. By utilizing AI, the tool saves time and money typically spent on manual crafting, enhances your professional image, and offers unique features to streamline the press release creation process.

The Notion Automation Hub is a website that provides pre-built Notion automations and databases to help users save time and improve their productivity. The website offers a variety of automations for different use cases, including job roles, workflows, and tasks. Users can also find pre-built database templates, Notion expert resources, and automation tools. The website is not affiliated with Notion Labs Inc.

AutoResponder.ai is an AI-powered auto reply bot application designed to send automatic replies to messages on various messaging platforms. It offers features such as automatic replies, unlimited message customization, integration with web servers and AI services like ChatGPT and Dialogflow, and more. Users can easily customize the bot on their phones for free, reducing manual workload and improving response time. AutoResponder.ai is widely used for WhatsApp, Facebook Messenger, Instagram, Telegram, Signal, and Viber, making it a versatile tool for managing messaging interactions efficiently.

JanitorAI is a revolutionary AI-powered tool that automates repetitive and time-consuming tasks, empowering businesses to streamline their operations and enhance productivity. With its advanced natural language processing and machine learning capabilities, JanitorAI seamlessly integrates with existing systems and applications, enabling users to automate a wide range of tasks, from data entry and email management to customer support and scheduling. By leveraging the power of AI, JanitorAI eliminates the need for manual labor, reduces errors, and frees up valuable time for employees to focus on more strategic initiatives.

Zapier is a cloud-based automation platform that allows users to connect different apps and services to automate tasks and workflows. It offers a wide range of integrations with popular apps and services, including Salesforce, Gmail, Slack, and Dropbox. Zapier is designed to be easy to use, even for non-technical users, and it offers a variety of features to help users create and manage their automations. These features include a drag-and-drop interface, pre-built templates, and support for custom code. Zapier is used by businesses of all sizes to automate a wide range of tasks, including lead generation, customer support, and data management.

Elicit is an AI research assistant that helps researchers analyze research papers at superhuman speed. It automates time-consuming research tasks such as summarizing papers, extracting data, and synthesizing findings. Trusted by researchers, Elicit offers a plethora of features to speed up the research process and is particularly beneficial for empirical domains like biomedicine and machine learning.

Fireflies.ai is an AI-powered notetaker that helps teams transcribe, summarize, search, and analyze voice conversations. It integrates with popular video conferencing apps and dialers, allowing users to automatically record and transcribe meetings. Fireflies.ai also offers advanced features such as AI-powered search, collaboration tools, and conversation intelligence, enabling teams to quickly find key information, collaborate on meeting notes, and gain insights from their conversations.

Nanonets is an AI-powered document processing and workflow automation platform that offers data capture and workflow solutions for various industries and functions. It automates tasks such as invoice processing, data extraction, document approvals, and accounts payable reconciliation using AI-powered workflows. Nanonets helps businesses extract valuable insights from unstructured data, optimize processes, and make faster, more informed decisions.

n8n is a powerful workflow automation software and tools that offer advanced AI capabilities. It is a popular platform for technical teams to automate workflows, integrate various services, and build autonomous agents. With over 400 integrations, n8n enables users to save time, streamline operations, and enhance security through AI-driven processes. The tool supports self-hosting, external libraries, and offers enterprise-ready solutions for scaling operations. n8n empowers users to code iteratively, explore advanced AI features, and create complex workflows with ease.

Testsigma is a cloud-based test automation platform that enables teams to create, execute, and maintain automated tests for web, mobile, and API applications. It offers a range of features including natural language processing (NLP)-based scripting, record-and-playback capabilities, data-driven testing, and AI-driven test maintenance. Testsigma integrates with popular CI/CD tools and provides a marketplace for add-ons and extensions. It is designed to simplify and accelerate the test automation process, making it accessible to testers of all skill levels.

Smartlead is an AI-powered cold email outreach tool designed to help businesses scale their outreach efforts seamlessly. With features like unlimited mailboxes, email warmups, multi-channel infrastructure, and a unified master inbox, Smartlead empowers users to manage their entire revenue cycle in one place. The platform offers powerful APIs, automation, and white labeling options to build long-lasting relationships with clients and boost email deliverability. Smartlead caters to lead generation agencies, marketing agencies, sales leaders, recruiters, and more, providing versatile solutions for a variety of industries.

Sense Talent Engagement Platform is an AI-powered recruitment platform that offers a comprehensive suite of tools to streamline the hiring process. It provides automation workflows, database cleanup, interview scheduling, text messaging, mass texting, WhatsApp and SMS integration, mobile app support, candidate matching, AI chatbot, job matching, scheduling bot, smart FAQ, pre-screening, sourcing, live chat, instant apply, talent CRM, generative AI, voice AI, referrals, analytics, and more. The platform caters to various industries such as financial services, healthcare, logistics, manufacturing, retail, staffing, technology, and more, helping organizations attract, engage, and retain top talent efficiently.

Magical is an AI productivity application that automates repetitive tasks on any website, allowing users to focus on more important work. It offers features like text expansion, autofill, website scraping, AI email writing, and auto form filling. The application is designed to save time and increase efficiency for various tasks across different industries such as recruiting, sales, customer support, and healthcare. Magical is loved by teams and individuals for its ability to personalize messages, overcome writer's block, and automate data entry and research tasks.

AirspeedVelocity.jl is a tool designed to simplify benchmarking of Julia packages over their lifetime. It provides a CLI to generate benchmarks, compare commits/tags/branches, plot benchmarks, and run benchmark comparisons for every submitted PR as a GitHub action. The tool freezes the benchmark script at a specific revision to prevent old history from affecting benchmarks. Users can configure options using CLI flags and visualize benchmark results. AirspeedVelocity.jl can be used to benchmark any Julia package and offers features like generating tables and plots of benchmark results. It also supports custom benchmarks and can be integrated into GitHub actions for automated benchmarking of PRs.

The AI Enablement Stack is a curated collection of venture-backed companies, tools, and technologies that enable developers to build, deploy, and manage AI applications. It provides a structured view of the AI development ecosystem across five key layers: Agent Consumer Layer, Observability and Governance Layer, Engineering Layer, Intelligence Layer, and Infrastructure Layer. Each layer focuses on specific aspects of AI development, from end-user interaction to model training and deployment. The stack aims to help developers find the right tools for building AI applications faster and more efficiently, assist engineering leaders in making informed decisions about AI infrastructure and tooling, and help organizations understand the AI development landscape to plan technology adoption.

ChatGPT is a large language model that can generate human-like text, translate languages, write different kinds of creative content, and answer your questions in a conversational way. It is trained on a massive amount of text data, and it is able to understand and respond to a wide range of natural language prompts. Here are 5 jobs suitable for this tool, in lowercase letters: 1. content writer 2. chatbot assistant 3. language translator 4. creative writer 5. researcher

CogAgent is an advanced intelligent agent model designed for automating operations on graphical interfaces across various computing devices. It supports platforms like Windows, macOS, and Android, enabling users to issue commands, capture device screenshots, and perform automated operations. The model requires a minimum of 29GB of GPU memory for inference at BF16 precision and offers capabilities for executing tasks like sending Christmas greetings and sending emails. Users can interact with the model by providing task descriptions, platform specifications, and desired output formats.

RD-Agent is a tool designed to automate critical aspects of industrial R&D processes, focusing on data-driven scenarios to streamline model and data development. It aims to propose new ideas ('R') and implement them ('D') automatically, leading to solutions of significant industrial value. The tool supports scenarios like Automated Quantitative Trading, Data Mining Agent, Research Copilot, and more, with a framework to push the boundaries of research in data science. Users can create a Conda environment, install the RDAgent package from PyPI, configure GPT model, and run various applications for tasks like quantitative trading, model evolution, medical prediction, and more. The tool is intended to enhance R&D processes and boost productivity in industrial settings.

LaVague is an open-source Large Action Model framework that uses advanced AI techniques to compile natural language instructions into browser automation code. It leverages Selenium or Playwright for browser actions. Users can interact with LaVague through an interactive Gradio interface to automate web interactions. The tool requires an OpenAI API key for default examples and offers a Playwright integration guide. Contributors can help by working on outlined tasks, submitting PRs, and engaging with the community on Discord. The project roadmap is available to track progress, but users should exercise caution when executing LLM-generated code using 'exec'.

Qbot is an AI-oriented automated quantitative investment platform that supports diverse machine learning modeling paradigms, including supervised learning, market dynamics modeling, and reinforcement learning. It provides a full closed-loop process from data acquisition, strategy development, backtesting, simulation trading to live trading. The platform emphasizes AI strategies such as machine learning, reinforcement learning, and deep learning, combined with multi-factor models to enhance returns. Users with some Python knowledge and trading experience can easily utilize the platform to address trading pain points and gaps in the market.

Skyvern automates browser-based workflows using LLMs and computer vision. It provides a simple API endpoint to fully automate manual workflows, replacing brittle or unreliable automation solutions. Traditional approaches to browser automations required writing custom scripts for websites, often relying on DOM parsing and XPath-based interactions which would break whenever the website layouts changed. Instead of only relying on code-defined XPath interactions, Skyvern adds computer vision and LLMs to the mix to parse items in the viewport in real-time, create a plan for interaction and interact with them. This approach gives us a few advantages: 1. Skyvern can operate on websites it’s never seen before, as it’s able to map visual elements to actions necessary to complete a workflow, without any customized code 2. Skyvern is resistant to website layout changes, as there are no pre-determined XPaths or other selectors our system is looking for while trying to navigate 3. Skyvern leverages LLMs to reason through interactions to ensure we can cover complex situations. Examples include: 1. If you wanted to get an auto insurance quote from Geico, the answer to a common question “Were you eligible to drive at 18?” could be inferred from the driver receiving their license at age 16 2. If you were doing competitor analysis, it’s understanding that an Arnold Palmer 22 oz can at 7/11 is almost definitely the same product as a 23 oz can at Gopuff (even though the sizes are slightly different, which could be a rounding error!) Want to see examples of Skyvern in action? Jump to #real-world-examples-of- skyvern

HolmesGPT is an open-source DevOps assistant powered by OpenAI or any tool-calling LLM of your choice. It helps in troubleshooting Kubernetes, incident response, ticket management, automated investigation, and runbook automation in plain English. The tool connects to existing observability data, is compliance-friendly, provides transparent results, supports extensible data sources, runbook automation, and integrates with existing workflows. Users can install HolmesGPT using Brew, prebuilt Docker container, Python Poetry, or Docker. The tool requires an API key for functioning and supports OpenAI, Azure AI, and self-hosted LLMs.

LLM App Stack, also known as Emerging Architectures for LLM Applications, is a comprehensive list of available tools, projects, and vendors at each layer of the LLM app stack. It covers various categories such as Data Pipelines, Embedding Models, Vector Databases, Playgrounds, Orchestrators, APIs/Plugins, LLM Caches, Logging/Monitoring/Eval, Validators, LLM APIs (proprietary and open source), App Hosting Platforms, Cloud Providers, and Opinionated Clouds. The repository aims to provide a detailed overview of tools and projects for building, deploying, and maintaining enterprise data solutions, AI models, and applications.

The 'awesome-ai4db-paper' repository is a curated paper list focusing on AI for database (AI4DB) theory, frameworks, resources, and tools for data engineers. It includes a collection of research papers related to learning-based query optimization, training data set preparation, cardinality estimation, query-driven approaches, data-driven techniques, hybrid methods, pretraining models, plan hints, cost models, SQL embedding, join order optimization, query rewriting, end-to-end systems, text-to-SQL conversion, traditional database technologies, storage solutions, learning-based index design, and a learning-based configuration advisor. The repository aims to provide a comprehensive resource for individuals interested in AI applications in the field of database management.

This repo contains a comprehensive paper list of **Model Quantization** for efficient deep learning on AI conferences/journals/arXiv. As a highlight, we categorize the papers in terms of model structures and application scenarios, and label the quantization methods with keywords.

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.

Qlib is an open-source, AI-oriented quantitative investment platform that supports diverse machine learning modeling paradigms, including supervised learning, market dynamics modeling, and reinforcement learning. It covers the entire chain of quantitative investment, from alpha seeking to order execution. The platform empowers researchers to explore ideas and implement productions using AI technologies in quantitative investment. Qlib collaboratively solves key challenges in quantitative investment by releasing state-of-the-art research works in various paradigms. It provides a full ML pipeline for data processing, model training, and back-testing, enabling users to perform tasks such as forecasting market patterns, adapting to market dynamics, and modeling continuous investment decisions.

llm-analysis is a tool designed for Latency and Memory Analysis of Transformer Models for Training and Inference. It automates the calculation of training or inference latency and memory usage for Large Language Models (LLMs) or Transformers based on specified model, GPU, data type, and parallelism configurations. The tool helps users to experiment with different setups theoretically, understand system performance, and optimize training/inference scenarios. It supports various parallelism schemes, communication methods, activation recomputation options, data types, and fine-tuning strategies. Users can integrate llm-analysis in their code using the `LLMAnalysis` class or use the provided entry point functions for command line interface. The tool provides lower-bound estimations of memory usage and latency, and aims to assist in achieving feasible and optimal setups for training or inference.

The repository 'Awesome-LLM-Preference-Learning' is the official repository of a survey paper titled 'Towards a Unified View of Preference Learning for Large Language Models: A Survey'. It contains a curated list of papers related to preference learning for Large Language Models (LLMs). The repository covers various aspects of preference learning, including on-policy and off-policy methods, feedback mechanisms, reward models, algorithms, evaluation techniques, and more. The papers included in the repository explore different approaches to aligning LLMs with human preferences, improving mathematical reasoning in LLMs, enhancing code generation, and optimizing language model performance.

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Automatically evaluates uploaded lesson plans against educational standards. Upload text or a PDF.

I create Playwright test cases for specific URLs.