Best AI tools for< Automated Theorem Proving >

Automated Combat is an AI-powered platform that allows users to witness historical figures engage in thought-provoking debates and discussions. Users can choose from a variety of historical figures and characters, and watch as they engage in lively conversations that are both educational and entertaining.

Automated Combat is an AI-powered platform that showcases historical figure debates and discussions, all powered by GPT-4. Users can select from a range of historical figures and characters to witness engaging and educational conversations. The platform offers a unique and entertaining way to explore historical perspectives and ideologies through AI-generated dialogues.

Business Automated is an independent automation consultancy that offers custom automation solutions for businesses. They provide services to streamline processes, increase efficiency, and reduce manual workloads. The company specializes in integrating AI technologies like GPT3.5, GPT4, and ChatGPT with platforms such as Airtable, Google Sheets, and Webflow. Through their products and services, Business Automated aims to empower businesses to leverage automation for improved productivity and performance.

Sonix is a powerful and easy-to-use online audio and video transcription service. It uses advanced artificial intelligence (AI) to convert speech to text quickly and accurately. Sonix supports over 38 languages and offers a variety of features, including automatic transcription, translation, subtitling, and summarization. It is a valuable tool for journalists, researchers, students, businesses, and anyone who needs to transcribe audio or video content.

TrendSpider is a comprehensive trading software suite designed for traders by traders. It offers a wide range of tools and features to help users make informed trading decisions, including charting and analysis tools, trade idea generation tools, strategy development tools, and trade timing and execution tools. TrendSpider also provides access to a variety of third-party indicators, scanners, and strategies. The platform is available as a web-based application and as a mobile app for iOS and Android devices.

Sonara is an AI-powered job search automation platform that finds and applies to relevant job openings on your behalf. It uses AI to identify the top job opportunities on the market that are best suited for you and sends out job applications on your behalf. Sonara is designed to help you easily find your dream job, uncovering hidden opportunities you never knew existed.

Mavenoid is an AI-powered product support tool that offers automated product support services, including product selection advice, troubleshooting solutions, replacement part ordering, and more. The platform is designed to understand complex questions and provide step-by-step instructions to guide users through various product-related processes. Mavenoid is trusted by leading product companies and focuses on resolving customer questions efficiently. The tool optimizes help centers for SEO, offers product insights to increase revenue, and provides support in multiple languages. It is known for reducing incoming inquiries and offering a seamless support experience.

HelloData is an AI-powered multifamily market analysis platform that automates market surveys, unit-level rent analysis, concessions monitoring, and development feasibility reports. It provides financial analysis tools to underwrite multifamily deals quickly and accurately. With custom query builders and Proptech APIs, users can analyze and download market data in bulk. HelloData is used by over 15,000 multifamily professionals to save time on market research and deal analysis, offering real-time property data and insights for operators, developers, investors, brokers, and Proptech companies.

Rav AI is the world's first AI video editing service for social media. It offers automated video editing for various social media platforms, allowing users to get their videos edited quickly without relying on freelancers. The AI video editor is available 24/7 and aims to help content creators grow their engagement, followers, and community. With features like drone video editing, podcast editing, and book trailer making, Rav AI is revolutionizing the way videos are edited for social media.

CloneDub is an AI-powered video dubbing platform that allows users to quickly and easily translate videos into over 20 languages. The platform uses a combination of machine learning and human expertise to create high-quality dubbed videos that maintain the original speaker's voice and the music and sounds of the original video. CloneDub is easy to use and offers a variety of features that make it a great choice for businesses and individuals who need to create dubbed videos.

DocuWriter.ai is an AI-powered tool that helps developers automate code documentation, testing, and refactoring. It uses natural language processing and machine learning algorithms to generate accurate and consistent documentation, test suites, and optimized code. DocuWriter.ai integrates with popular programming languages and development environments, making it easy for developers to improve the quality and efficiency of their code.

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.

qbiq is a generative AI platform designed for real estate layout design and virtual tours. It automates architectural planning processes, providing customized layout plans for any space and tenant within 24 hours. By utilizing deep-learning technology, qbiq delivers architectural-grade plans and data-driven insights, revolutionizing real estate layout planning for landlords, brokers, and architects. The platform aims to accelerate deal cycles, improve closing rates, reduce vacancy rates, and empower users to make faster and more informed decisions.

DipSway is an automated AI crypto trading platform that offers zero configuration, AI-powered trading bots. The platform provides users with the ability to connect to their exchange, turn on autopilot, and start trading without the need for manual intervention. DipSway's proprietary AI model utilizes over 121 technical indicators and 17 pattern detectors to analyze market trends and execute trades efficiently. With features like full profitability analysis, live backtests, and historical performance data, DipSway aims to simplify and optimize crypto trading for both beginners and experienced traders.

Eyer is a headless AIOps platform that offers automated observability and actionable insights through AI-powered anomaly detection. It allows users to integrate with various systems using Open APIs and provides fast time-to-value by automating manual tasks and improving IT operation efficiency. Eyer supports integrations with tools like Boomi, Grafana, BizTalk, and Influx Telegraf, enabling users to monitor and manage their systems effectively.

Pixeebot is an automated product security engineer that helps developers fix vulnerabilities, harden code, squash bugs, and improve code quality. It integrates with your existing workflow and can be used locally via CLI or through the GitHub app. Pixeebot is powered by the open source Codemodder framework, which allows you to build your own custom codemods.

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.

JADBio is an automated machine learning (AutoML) platform designed to accelerate biomarker discovery and drug development processes. It offers a no-code solution that automates the discovery of biomarkers and interprets their role based on research needs. JADBio can parse multi-omics data, including genomics, transcriptome, metagenome, proteome, metabolome, phenotype/clinical data, and images, enabling users to efficiently discover insights for various conditions such as cancer, immune system disorders, chronic diseases, infectious diseases, and mental health. The platform is trusted by partners in precision health and medicine and is continuously evolving to disrupt drug discovery times and costs at all stages.

Qlik AutoML is an AI tool that offers automated machine learning for analytics teams. It allows users to create machine learning experiments, identify key drivers in data, train models, and make predictions. With a focus on no-code machine learning, Qlik AutoML simplifies the process of generating predictive models and understanding outcomes. The tool enables users to explore predictive data, test what-if scenarios, and leverage AI-powered connectors for seamless integration with other AI and machine learning tools.

Airpost is an AI-powered platform that offers automated UGC video ad creation for growth marketers. It provides a seamless experience for creating high-quality video ads by combining user-generated content with pre-filled templates. The platform aims to streamline the video ad production process, saving time and resources for businesses looking to enhance their marketing strategies.

The 'ai4math-papers' repository contains a collection of research papers related to AI applications in mathematics, including automated theorem proving, synthetic theorem generation, autoformalization, proof refactoring, premise selection, benchmarks, human-in-the-loop interactions, and constructing examples/counterexamples. The papers cover various topics such as neural theorem proving, reinforcement learning for theorem proving, generative language modeling, formal mathematics statement curriculum learning, and more. The repository serves as a valuable resource for researchers and practitioners interested in the intersection of AI and mathematics.

Awesome LLM Strawberry is a collection of research papers and blogs related to OpenAI Strawberry(o1) and Reasoning. The repository is continuously updated to track the frontier of LLM Reasoning.

The repository 'Awesome LLM Reasoning Openai-o1 Survey' provides a collection of survey papers and related works on OpenAI o1, focusing on topics such as LLM reasoning, self-play reinforcement learning, complex logic reasoning, and scaling law. It includes papers from various institutions and researchers, showcasing advancements in reasoning bootstrapping, reasoning scaling law, self-play learning, step-wise and process-based optimization, and applications beyond math. The repository serves as a valuable resource for researchers interested in exploring the intersection of language models and reasoning techniques.

MMOS (Mix of Minimal Optimal Sets) is a dataset designed for math reasoning tasks, offering higher performance and lower construction costs. It includes various models and data subsets for tasks like arithmetic reasoning and math word problem solving. The dataset is used to identify minimal optimal sets through reasoning paths and statistical analysis, with a focus on QA-pairs generated from open-source datasets. MMOS also provides an auto problem generator for testing model robustness and scripts for training and inference.

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)

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.

This repository contains a curated list of papers focusing on the self-correction of large language models (LLMs) during inference. It covers various frameworks for self-correction, including intrinsic self-correction, self-correction with external tools, self-correction with information retrieval, and self-correction with training designed specifically for self-correction. The list includes survey papers, negative results, and frameworks utilizing reinforcement learning and OpenAI o1-like approaches. Contributions are welcome through pull requests following a specific format.

This repository contains a collection of papers and resources related to Large Language Models (LLMs), including their applications in various domains such as text generation, translation, question answering, and dialogue systems. The repository also includes discussions on the ethical and societal implications of LLMs. **Description** This repository is a collection of papers and resources related to Large Language Models (LLMs). LLMs are a type of artificial intelligence (AI) that can understand and generate human-like text. They have a wide range of applications, including text generation, translation, question answering, and dialogue systems. **For Jobs** - **Content Writer** - **Copywriter** - **Editor** - **Journalist** - **Marketer** **AI Keywords** - **Large Language Models** - **Natural Language Processing** - **Machine Learning** - **Artificial Intelligence** - **Deep Learning** **For Tasks** - **Generate text** - **Translate text** - **Answer questions** - **Engage in dialogue** - **Summarize text**

The 'llms-tools' repository is a comprehensive collection of AI tools, open-source projects, and research related to Large Language Models (LLMs) and Chatbots. It covers a wide range of topics such as AI in various domains, open-source models, chats & assistants, visual language models, evaluation tools, libraries, devices, income models, text-to-image, computer vision, audio & speech, code & math, games, robotics, typography, bio & med, military, climate, finance, and presentation. The repository provides valuable resources for researchers, developers, and enthusiasts interested in exploring the capabilities of LLMs and related technologies.

LLM-PLSE-paper is a repository focused on the applications of Large Language Models (LLMs) in Programming Language and Software Engineering (PL/SE) domains. It covers a wide range of topics including bug detection, specification inference and verification, code generation, fuzzing and testing, code model and reasoning, code understanding, IDE technologies, prompting for reasoning tasks, and agent/tool usage and planning. The repository provides a comprehensive collection of research papers, benchmarks, empirical studies, and frameworks related to the capabilities of LLMs in various PL/SE tasks.

This repository is dedicated to collecting and categorizing papers related to Retrieval-Augmented Generation (RAG) for AI-generated content. It serves as a survey repository based on the paper 'Retrieval-Augmented Generation for AI-Generated Content: A Survey'. The repository is continuously updated to keep up with the rapid growth in the field of RAG.

The Awesome-System2-Reasoning-LLM repository is dedicated to a survey paper titled 'From System 1 to System 2: A Survey of Reasoning Large Language Models'. It explores the development of reasoning Large Language Models (LLMs), their foundational technologies, benchmarks, and future directions. The repository provides resources and updates related to the research, tracking the latest developments in the field of reasoning LLMs.

The Awesome-LLM-Post-training repository is a curated collection of influential papers, code implementations, benchmarks, and resources related to Large Language Models (LLMs) Post-Training Methodologies. It covers various aspects of LLMs, including reasoning, decision-making, reinforcement learning, reward learning, policy optimization, explainability, multimodal agents, benchmarks, tutorials, libraries, and implementations. The repository aims to provide a comprehensive overview and resources for researchers and practitioners interested in advancing LLM technologies.

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

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

Comprehensive categorization and organization for AI Prompts

For strategic knowledge distillation, upload the document you need to analyze and use !start. ENSURE the uploaded file shows DOCUMENT and NOT PDF. This workflow requires leveraging RAG to operate. Only a small amount of PDFs are supported, convert to txt or doc. For timeout, refresh & !continue

I analyze website screenshots for UI/UX improvements.

Ensures software quality through automated testing strategies.

I am an advanced agent that will automatically craft essays entirely from real quotes on any topic. Please start this workflow with the following command: !start [topic]

Input your work and harvard referencing will be automated for you

Automated solution for effortless radiological calculations and interpretations.

Automated interviews. To get started, type or say "Let's begin". When you ask the GPT to end the interview it will give you a transcript and summary of your conversation. This is a great way of getting thoughts out of your head and onto "paper". Have fun!

Automated AI experiment tool for evaluating prompt strategies.

An automated cyber threat intelligence expert configured and trained by Bob Gourley. Pls provide feedback. Find Bob on X at @bobgourley

Creates bash scripts with automated boilerplate

VaultCraft trains users to create automated yield strategies using the VaultCraft VCI & SDK

A chatbot based on the USAID Automated Directives System

Create, analyze & duplicate customized automated message campaigns to boost retention & drive revenue for your website or app

Creative Design Brilliance, Automated

ConveyanceAI streamlines property conveyancing, offering automated legal document handling, compliance guidance, and efficient workflow management for UK and European lawyers and conveyancers

AI-powered audit ally. Enhance cybersecurity effortlessly with intelligent, automated security analysis. Safe, swift, and smart.

Just upload a numerical dataset for classification task, will apply data analysis and machine learning steps to make a best model possible.

Analyzes CFB plays for penalties.

a robot scholar reviewing social science research