Best AI tools for< Improve Adoption >

Essense is an AI-powered platform that specializes in customer and competitor analysis. It transforms qualitative customer feedback and competitor reviews into actionable insights, helping businesses focus their product roadmap on critical customer needs and improve customer adoption and engagement. The platform provides valuable information on customer pain points, feature requests, and how a product compares to the competition, enabling companies to make informed decisions for marketing, growth, and success.

Ignition is an AI-powered roadmapping suite designed to connect roadmaps to revenue. It helps users identify and prioritize feature gaps based on revenue impact, generate roadmaps, and align them with Sales effortlessly. The tool automates the process of building revenue-based roadmaps, extracting deal-blocking feature gaps, and notifying sales reps when features ship. With AI analysis, users can surface key themes from customer conversations, prioritize roadmap items, and quantify the product's impact on revenue. Ignition aims to empower sales teams, automate product operations, and improve adoption and revenue impact.

Upshot.ai is an award-winning omnichannel customer engagement, user engagement, and gamification platform that helps businesses improve product adoption and conversions using principles of gamification, behavioral psychology, and learning theory. The platform enables product, digital, and marketing teams to capture user data, analyze it with over 50 analytical reports, create target user segments, improve product and feature adoption through dynamic in-app guidance, achieve highly personalized communication at scale, gamify user experience, build loyal users, upsell and cross-sell, provide in-the-moment experiences, retain users, deliver omni-channel experiences, create automated workflows, and make data-driven decisions using machine learning algorithms.

Usermaven is a simple yet powerful website and product analytics tool that offers accurate tracking, comprehensive suite of analytics tools, real-time insights, and AI-powered data analysis. It eliminates the need for coding, provides privacy-friendly analytics, and is trusted by leading brands and agencies. Usermaven empowers marketers and product professionals to gain in-depth insights, understand user behavior, optimize marketing and product strategies, and make data-driven decisions for business success.

This website provides comprehensive information and resources on digital adoption, including its definition, platforms, solutions, strategies, and research. It also covers digital transformation, artificial intelligence, and various tools and applications related to these fields. The website offers articles, guides, comparisons, and industry insights to help businesses and individuals understand and implement digital adoption and transformation initiatives.

Userpilot is a product growth platform that offers a comprehensive set of solutions to help product teams activate more users, increase feature adoption, and drive expansion revenue. The platform includes features such as product analytics, user engagement tools, user feedback mechanisms, user onboarding solutions, churn prevention strategies, in-app support, and product launch capabilities. Userpilot aims to help companies improve their product growth by providing personalized user experiences and actionable insights based on user behavior.

ChurnZero is a customer success software platform that leverages AI technology to help businesses improve customer onboarding, adoption, retention, and revenue growth. It offers a range of features such as customer health scoring, customer journeys, plays and automation, in-app communications, renewal forecasting, surveys, and reporting. ChurnZero provides a holistic view of the customer lifecycle, enabling customer success teams to make data-driven decisions and drive revenue with confidence.

BRACAI AI Consulting Services is a platform that offers AI consulting services to businesses looking to leverage artificial intelligence to improve productivity, reduce costs, and boost efficiency. The platform helps companies identify AI use cases, develop AI solutions, and provide training to ensure successful AI transformation. With a focus on simplifying AI for businesses, BRACAI aims to help organizations navigate the path to AI adoption and implementation.

ChurnZero is a digital-first customer success software that leverages AI technology to help businesses enhance customer engagement, drive product adoption, ensure customer retention, and provide valuable customer insights. The platform offers a range of features such as digital engagement, customer insights, automation, and data visualization to empower customer success teams in achieving their goals. ChurnZero stands out as the most-loved customer success software, offering innovative solutions to address the evolving needs of businesses in the digital era.

DeepScribe is an AI medical scribe application that leverages advanced speech recognition technology to capture clinical conversations with extreme accuracy. It empowers clinicians and health systems with real-time AI insights, offers customization options to match provider workflows, and ensures trust and safety through features that promote AI transparency. DeepScribe is designed to save time, improve accuracy, drive adoption, and maximize revenue for doctors, hospitals, and health systems. The application is built for enterprise use, allowing users to unlock the power of AI and modernize their patient data strategy.

Get On AI is a platform dedicated to providing artificial intelligence (AI) resources for businesses and entrepreneurs. The website aims to empower users by facilitating the adoption of AI, guiding them through identifying use cases, selecting the right tools, and integrating AI into their existing processes. Users can discover the exciting world of AI, learn how to harness its power for their business, and unleash their business's potential through AI implementation.

Cast.app is an AI-driven platform that automates customer success management, enabling businesses to grow and preserve revenue by leveraging AI agents. The application offers a range of features such as automating customer onboarding, driving usage and adoption, minimizing revenue churn, influencing renewals and revenue expansion, and scaling without increasing team size. Cast.app provides personalized recommendations, insights, and customer communications, enhancing customer engagement and satisfaction. The platform is designed to streamline customer interactions, improve retention rates, and drive revenue growth through AI-powered automation and personalized customer experiences.

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.

Paro is a professional business finance and accounting solutions platform that matches businesses and accounting firms with skilled finance experts. It offers a wide range of services including accounting, bookkeeping, financial planning, budgeting, business analysis, data visualization, strategic advisory, growth strategy consulting, startup and fundraising consulting, transaction advisory, tax and compliance services, AI consulting services, and more. Paro aims to help businesses optimize faster by providing expert solutions to bridge gaps in finance and accounting operations. The platform also offers staff augmentation services, talent acquisition, and custom solutions to enhance operational efficiency and maximize ROI.

All-In on AI is a comprehensive guide by Tom Davenport and Nitin Mittal that explores how organizations can become AI-fueled to transform their products, processes, strategy, customer relationships, culture, and talent. The book provides insights, strategies, and best practices for adopting AI tools across business processes, driving new offerings and business models, and increasing organization-wide fluency in AI. It offers a rare inside look at leading adopters and equips leaders with the tools to place AI at the core of their organizations.

Intelligent Health is the world's leading AI in medicine summit series dedicated to saving lives with AI. The platform hosts a healthtech community committed to advancing pivotal conversations on AI in medicine and fostering global collaboration across the healthcare sector. With a comprehensive agenda offering access to expert voices, Intelligent Health expedites critical discussions on challenges, solutions, and innovations to facilitate key decision-making and impactful investments. The platform aims to ensure the safe, effective, and democratic adoption of AI in healthcare to improve global health outcomes for all.

Copyleaks is an AI-based plagiarism and AI content detection tool that helps users detect AI-generated code, plagiarized and modified source code, and provides essential licensing details. It offers solutions for academic integrity, governance and compliance, unauthorized large language model (LLM) usage, AI model training, and intellectual property protection. The tool includes products such as AI Detector, Plagiarism Checker, Writing Assistant, and API Integration, empowering users to ensure content integrity and transparency. Copyleaks also provides resources like news, AI testing methodologies, help center, success stories, and a blog to support users in protecting their content and adopting AI responsibly.

DeepIP is an AI assistant designed by Patent Professionals for Patent Professionals to enhance workflow efficiency and deliver high-quality work to clients. It automates repetitive tasks, improves accuracy, and ensures compliance with USPTO requirements. DeepIP supports various document formats for patent drafting and offers features such as patent preparation, drafting assistance, iteration & review, and office actions' answer. The application prioritizes data privacy and security, with data not stored or used for retraining purposes. DeepIP is user-friendly and suitable for patent practitioners with varying technical expertise levels, with seamless integration into Microsoft Word for easy adoption within teams.

QOVES is a website that provides tools and advice to help people improve their looks. The website offers a variety of services, including facial analysis, hairline design, style advice, and Photoshop retouching. QOVES also has a blog with articles on a variety of topics related to beauty and aesthetics.

ELSA Speech Analyzer is an AI-powered conversational English fluency coach that provides instant, personalized feedback on speech. It helps users improve pronunciation, intonation, grammar, and vocabulary through real-time analysis. The tool is designed for individuals, professionals, students, and organizations to enhance English speaking skills and communication abilities.

DistillKit is an open-source research effort by Arcee.AI focusing on model distillation methods for Large Language Models (LLMs). It provides tools for improving model performance and efficiency through logit-based and hidden states-based distillation methods. The tool supports supervised fine-tuning and aims to enhance the adoption of open-source LLM distillation techniques.

Reinforcement Learning from AI Feedback (RLAIF) is a concept that describes a type of machine learning approach where **an AI agent learns by receiving feedback or guidance from another AI system**. This concept is closely related to the field of Reinforcement Learning (RL), which is a type of machine learning where an agent learns to make a sequence of decisions in an environment to maximize a cumulative reward. In traditional RL, an agent interacts with an environment and receives feedback in the form of rewards or penalties based on the actions it takes. It learns to improve its decision-making over time to achieve its goals. In the context of Reinforcement Learning from AI Feedback, the AI agent still aims to learn optimal behavior through interactions, but **the feedback comes from another AI system rather than from the environment or human evaluators**. This can be **particularly useful in situations where it may be challenging to define clear reward functions or when it is more efficient to use another AI system to provide guidance**. The feedback from the AI system can take various forms, such as: - **Demonstrations** : The AI system provides demonstrations of desired behavior, and the learning agent tries to imitate these demonstrations. - **Comparison Data** : The AI system ranks or compares different actions taken by the learning agent, helping it to understand which actions are better or worse. - **Reward Shaping** : The AI system provides additional reward signals to guide the learning agent's behavior, supplementing the rewards from the environment. This approach is often used in scenarios where the RL agent needs to learn from **limited human or expert feedback or when the reward signal from the environment is sparse or unclear**. It can also be used to **accelerate the learning process and make RL more sample-efficient**. Reinforcement Learning from AI Feedback is an area of ongoing research and has applications in various domains, including robotics, autonomous vehicles, and game playing, among others.

The Codebase Context Specification (CCS) project aims to standardize embedding contextual information within codebases to enhance understanding for both AI and human developers. It introduces a convention similar to `.env` and `.editorconfig` files but focused on documenting code for both AI and humans. By providing structured contextual metadata, collaborative documentation guidelines, and standardized context files, developers can improve code comprehension, collaboration, and development efficiency. The project includes a linter for validating context files and provides guidelines for using the specification with AI assistants. Tooling recommendations suggest creating memory systems, IDE plugins, AI model integrations, and agents for context creation and utilization. Future directions include integration with existing documentation systems, dynamic context generation, and support for explicit context overriding.

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.

Awesome LLM for APR is a repository dedicated to exploring the capabilities of Large Language Models (LLMs) in Automated Program Repair (APR). It provides a comprehensive collection of research papers, tools, and resources related to using LLMs for various scenarios such as repairing semantic bugs, security vulnerabilities, syntax errors, programming problems, static warnings, self-debugging, type errors, web UI tests, smart contracts, hardware bugs, performance bugs, API misuses, crash bugs, test case repairs, formal proofs, GitHub issues, code reviews, motion planners, human studies, and patch correctness assessments. The repository serves as a valuable reference for researchers and practitioners interested in leveraging LLMs for automated program repair.

AIR-1 is a compact sensor device designed for monitoring various environmental parameters such as gas levels, particulate matter, temperature, and humidity. It features multiple sensors for detecting gases like CO, alcohol, H2, NO2, NH3, CO2, as well as particulate matter, VOCs, NOx, and more. The device is designed with a focus on accuracy and efficient heat management in a small form factor, making it suitable for indoor air quality monitoring and environmental sensing applications.

Arbigent (Arbiter-Agent) is an AI agent testing framework designed to make AI agent testing practical for modern applications. It addresses challenges faced by traditional UI testing frameworks and AI agents by breaking down complex tasks into smaller, dependent scenarios. The framework is customizable for various AI providers, operating systems, and form factors, empowering users with extensive customization capabilities. Arbigent offers an intuitive UI for scenario creation and a powerful code interface for seamless test execution. It supports multiple form factors, optimizes UI for AI interaction, and is cost-effective by utilizing models like GPT-4o mini. With a flexible code interface and open-source nature, Arbigent aims to revolutionize AI agent testing in modern applications.

BentoML is an open-source model serving library for building performant and scalable AI applications with Python. It comes with everything you need for serving optimization, model packaging, and production deployment.

LLPhant is a comprehensive PHP Generative AI Framework that provides a simple and powerful way to build apps. It supports Symfony and Laravel and offers a wide range of features, including text generation, chatbots, text summarization, and more. LLPhant is compatible with OpenAI and Ollama and can be used to perform a variety of tasks, including creating semantic search, chatbots, personalized content, and text summarization.

Upgini is an intelligent data search engine with a Python library that helps users find and add relevant features to their ML pipeline from various public, community, and premium external data sources. It automates the optimization of connected data sources by generating an optimal set of machine learning features using large language models, GraphNNs, and recurrent neural networks. The tool aims to simplify feature search and enrichment for external data to make it a standard approach in machine learning pipelines. It democratizes access to data sources for the data science community.

Academic_LLM_Sec_Papers is a curated collection of academic papers related to LLM Security Application. The repository includes papers sorted by conference name and published year, covering topics such as large language models for blockchain security, software engineering, machine learning, and more. Developers and researchers are welcome to contribute additional published papers to the list. The repository also provides information on listed conferences and journals related to security, networking, software engineering, and cryptography. The papers cover a wide range of topics including privacy risks, ethical concerns, vulnerabilities, threat modeling, code analysis, fuzzing, and more.

LazyLLM is a low-code development tool for building complex AI applications with multiple agents. It assists developers in building AI applications at a low cost and continuously optimizing their performance. The tool provides a convenient workflow for application development and offers standard processes and tools for various stages of application development. Users can quickly prototype applications with LazyLLM, analyze bad cases with scenario task data, and iteratively optimize key components to enhance the overall application performance. LazyLLM aims to simplify the AI application development process and provide flexibility for both beginners and experts to create high-quality applications.

Kalavai is an open-source platform that transforms everyday devices into an AI supercomputer by aggregating resources from multiple machines. It facilitates matchmaking of resources for large AI projects, making AI hardware accessible and affordable. Users can create local and public pools, connect with the community's resources, and share computing power. The platform aims to be a management layer for research groups and organizations, enabling users to unlock the power of existing hardware without needing a devops team. Kalavai CLI tool helps manage both versions of the platform.

The AI-Exchange Protocol (AIXP) is a communication standard designed to facilitate information and result exchange between artificial intelligence agents. It aims to enhance interoperability and collaboration among various AI systems by establishing a common framework for communication. AIXP includes components for communication, loop prevention, and task finalization, ensuring secure and efficient collaboration while avoiding infinite communication loops. The protocol defines access points, data formats, authentication, authorization, versioning, loop detection, status codes, error messages, and task completion verification. AIXP enables AI agents to collaborate seamlessly and complete tasks effectively, contributing to the overall efficiency and reliability of AI systems.

This repository contains the source code for a GEMM & deep learning hardware accelerator system used to validate proposed systolic array hardware architectures implementing efficient matrix multiplication algorithms to increase performance-per-area limits of GEMM & AI accelerators. Achieved results include up to 3× faster CNN inference, >2× higher mults/multiplier/clock cycle, and low area with high clock frequency. The system is specialized for inference of non-sparse DNN models with fixed-point/quantized inputs, fully accelerating all DNN layers in hardware, and highly optimizing GEMM acceleration.

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

Gives you tips and suggestions on how you can improve your application for your users.

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Offers exercises and techniques to improve memory retention and cognitive functions.

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Analyzes customer churn and provides strategies to improve loyalty and retention.

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Help you to improve your generative art for use in AI

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実践スキル向上のための対話型学習アシスタント　　　　　　　　　（Interactive learning assistant to improve practical skills）

A training tool for infosec professionals to improve their skills in GRC & security and help obtain related certifications.

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Expert in Meta advertising that can improve your ROI. Official Meta GPT built by dicer.ai