Best AI tools for< Anonymize Prompts >

MaskMyPrompt is an AI tool designed to anonymize prompts before sending them to ChatGPT. It ensures that your prompt data remains private by masking names and sensitive information. The tool is programmed by Mike Ushakov and ChatGPT, utilizing the powerful Transformers.js. Users can reach out for support or feature requests via email or Twitter.

ZeroTrusted.ai is a cybersecurity platform that offers an AI Firewall to protect users from data exposure and exploitation by unethical providers or malicious actors. The platform provides features such as anonymity, security, reliability, integrations, and privacy to safeguard sensitive information. ZeroTrusted.ai empowers organizations with cutting-edge encryption techniques, AI & ML technologies, and decentralized storage capabilities for maximum security and compliance with regulations like PCI, GDPR, and NIST.

Ankara AI is an automated video narration and commentary application that utilizes AI technology to generate narrations for videos in over 25 different languages. Users can upload a video, select a voice, and provide a narration prompt to create customized narrations. The application ensures user privacy by not retaining videos and securely storing anonymized prompts and script results. Ankara AI offers a variety of voices to choose from, including different accents and tones, to enhance the narration experience.

Enlitic provides healthcare data solutions that leverage artificial intelligence to improve data management, clinical workflows, and create a foundation for real-world evidence medical image databases. Their products, ENDEX and ENCOG, utilize computer vision and natural language processing to standardize, protect, and analyze medical imaging data, enabling healthcare providers to optimize workflows, increase efficiencies, and expand capacity.

Pontus is an AI tool that enables users to build AI models with trust, manage risk, and ensure compliance effortlessly. It offers features like smart anonymization, rapid audit, and liability reduction, along with privacy-enhancing technology. Pontus allows for on-premise deployment, role-based access controls, and toxicity checking to prevent inappropriate content. The application is designed to work seamlessly with common LLM providers, making it a valuable asset for industries like healthcare, finance, and research.

ResuMetrics is an AI-powered platform designed to streamline the resume processing workflow. It offers solutions to extract structured data from resumes and automate the anonymization process. The platform provides an easy-to-use API for automating resume analysis, including candidate onboarding and PII redaction. With features like resume scoring and vacancy matching on the roadmap, ResuMetrics aims to enhance the efficiency of resume processing tasks. Users can choose from different subscription plans based on their processing needs, with credits consumed per document page. Overall, ResuMetrics is a comprehensive tool for organizations looking to optimize their resume processing operations.

The website offers content moderation and image analysis products using powerful APIs to automatically assess, filter, and moderate images, videos, and text. It provides features such as image moderation, video moderation, text moderation, AI image detection, and video anonymization. The application helps in detecting unwanted content, AI-generated images, and personal information in videos. It also offers tools to identify near-duplicates, spam, and abusive links, and prevent phishing and circumvention attempts. The platform is fast, scalable, accurate, easy to integrate, and privacy compliant, making it suitable for various industries like marketplaces, dating apps, and news platforms.

Snaplet is a data management tool for developers that provides AI-generated dummy data for local development, end-to-end testing, and debugging. It uses a real programming language (TypeScript) to define and edit data, ensuring type safety and auto-completion. Snaplet understands database structures and relationships, automatically transforming personally identifiable information and seeding data accordingly. It integrates seamlessly into development workflows, providing data where it's needed most: on local machines, for CI/CD testing, and preview environments.

Warmly is an AI-powered platform designed to reveal and convert website visitors' intent signals instantly. It helps businesses de-anonymize website visitors, identify buying intent topics, and engage with prospects through personalized outreach via email, LinkedIn, and chat. Warmly offers features such as auto-email and auto-LinkedIn warm prospects, live video chat, warm intros, routing and alerts, and AI chat. The platform provides unified automation to orchestrate the tech stack, deliver better experiences, and capture the interest of decision-makers efficiently.

PiktID is an AI tool that offers a range of products for visual content needs, including TagID for image description generation, EraseID for face anonymization, SuperID for photo enhancement, and ProductID for AI-generated backgrounds. The platform provides solutions for privacy protection, identity generation, face editing, and more. PiktID aims to revolutionize visual content creation by providing efficient editing tools that comply with data protection laws and ethical AI principles.

CompliantChatGPT is a HIPAA-compliant platform that allows users to utilize OpenAI's GPT models for healthcare-related tasks while maintaining data privacy and security. It anonymizes protected health information (PHI) by replacing it with tokens, ensuring compliance with HIPAA regulations. The platform offers various modes tailored to specific healthcare needs, including bloodwork analysis, PHI anonymization, diagnosis assistance, and treatment planning. CompliantChatGPT streamlines healthcare tasks, enhances productivity, and provides user-friendly assistance through its intuitive interface.

Gretel.ai is an AI tool that helps users incorporate generative AI into their data by generating synthetic data that is as good or better than the existing data. Users can fine-tune custom AI models and use Gretel's APIs to generate unlimited synthesized datasets, perform privacy-preserving transformations on sensitive data, and identify PII with advanced NLP detection. Gretel's APIs make it simple to generate anonymized and safe synthetic data, allowing users to innovate faster and preserve privacy while doing it. Gretel's platform includes Synthetics, Transform, and Classify APIs that provide users with a complete set of tools to create safe data. Gretel also offers a range of resources, including documentation, tutorials, GitHub projects, and open-source SDKs for developers. Gretel Cloud runners allow users to keep data contained by running Gretel containers in their environment or scaling out workloads to the cloud in seconds. Overall, Gretel.ai is a powerful AI tool for generating synthetic data that can help users unlock innovation and achieve more with safe access to the right data.

Wingman is an AI dating coach application that offers personalized dating advice to straight men. It provides services such as chatbot coaching, profile optimization, and conversation feedback to help users improve their dating game and increase their chances of finding meaningful connections. Wingman prioritizes user privacy by ensuring all interactions are fully anonymized, and it continuously updates its memory bank to provide tailored advice. The application is currently in beta phase and offers complimentary access to invited users, with plans to introduce a free trial version upon official launch.

Abby is an AI therapy assistant that provides round-the-clock support and guidance through personalized therapy sessions. It offers various types of therapy, including psychodynamic therapy, cognitive behavioral therapy (CBT), and dialectical behavior therapy (DBT), to help users improve their mental well-being. Abby is available 24/7, free of cost, and ensures encrypted and anonymized communication. Users can access multilingual support and daily check-ins to track progress and receive non-judgmental assistance. It is designed for educational purposes and aims to empower individuals to work through their challenges with the help of an AI therapist.

Gestualy is an AI application that measures and improves customer satisfaction and mood quickly and easily through gestures. It allows businesses to interact with customers or guests via gestures, make intelligent decisions, and generate valuable statistical reports using artificial intelligence. Gestualy offers touchless interaction, immediate feedback, anonymized reports on satisfaction, gender, mood, and age, as well as data protection compliance. The application is suitable for various industries, including restaurants, events, and healthcare.

Pseudoface is an AI application that allows users to create AI-generated faces to maintain anonymity in content creation. It offers a solution for creators who want to hide their real identity while still engaging with their audience. Pseudoface uses advanced AI algorithms to generate realistic face filters tailored to the user's facial features. The tool aims to provide privacy and security for content creators by allowing them to control how they appear online without compromising their identity.

GPT-Minus1 is an AI tool designed for privacy-conscious users who want to generate text without leaving a trace. It operates by fooling GPT models through the random replacement of words with synonyms. The tool ensures that the generated text remains undetectable and protects user privacy. Created by Bilal Tahir, GPT-Minus1 offers a unique approach to text generation that prioritizes anonymity and security.

Faceless YouTube Channel with AI Video is an innovative AI tool that allows users to create and manage YouTube channels without showing their faces. The tool utilizes advanced artificial intelligence technology to generate lifelike avatars that can be used in videos, making it ideal for content creators who prefer to remain anonymous or protect their privacy. With a user-friendly interface and a range of customization options, this tool simplifies the process of creating engaging video content while maintaining anonymity.

WriteHuman is an undetectable AI and AI content humanizer tool that elevates AI to human perfection. It allows users to bypass AI detection with the world's most powerful AI humanizer, making AI-generated content sound more human. The tool works seamlessly with popular platforms like Turnitin, ZeroGPT, and Writer to protect online privacy and maintain anonymity. With WriteHuman, users can create undetectable AI content and eliminate AI tracking effortlessly, ensuring their writing remains untraceable.

Unclothy is an AI-powered tool that allows users to remove clothing from images. It is designed to be easy to use, cost-effective, and respectful of privacy. Unclothy uses AI models that have been trained on hundreds of thousands of photos to detect and remove clothing from images. The result is as close to reality as possible. Unclothy is free to use and uses the AES-256 encryption technology to ensure the anonymity and security of your data.

Awesome MLSecOps is a curated list of open-source tools, resources, and tutorials for MLSecOps (Machine Learning Security Operations). It includes a wide range of security tools and libraries for protecting machine learning models against adversarial attacks, as well as resources for AI security, data anonymization, model security, and more. The repository aims to provide a comprehensive collection of tools and information to help users secure their machine learning systems and infrastructure.

LLM Guard is a comprehensive tool designed to fortify the security of Large Language Models (LLMs). It offers sanitization, detection of harmful language, prevention of data leakage, and resistance against prompt injection attacks, ensuring that your interactions with LLMs remain safe and secure.

Awesome-LLM-RAG-Application is a repository that provides resources and information about applications based on Large Language Models (LLM) with Retrieval-Augmented Generation (RAG) pattern. It includes a survey paper, GitHub repo, and guides on advanced RAG techniques. The repository covers various aspects of RAG, including academic papers, evaluation benchmarks, downstream tasks, tools, and technologies. It also explores different frameworks, preprocessing tools, routing mechanisms, evaluation frameworks, embeddings, security guardrails, prompting tools, SQL enhancements, LLM deployment, observability tools, and more. The repository aims to offer comprehensive knowledge on RAG for readers interested in exploring and implementing LLM-based systems and products.

Agenta is an open-source LLM developer platform for prompt engineering, evaluation, human feedback, and deployment of complex LLM applications. It provides tools for prompt engineering and management, evaluation, human annotation, and deployment, all without imposing any restrictions on your choice of framework, library, or model. Agenta allows developers and product teams to collaborate in building production-grade LLM-powered applications in less time.

This repository contains a sophisticated deterministic graph-based solution for answering complex questions using a controllable autonomous agent. The solution is designed to ensure that answers are solely based on the provided data, avoiding hallucinations. It involves various steps such as PDF loading, text preprocessing, summarization, database creation, encoding, and utilizing large language models. The algorithm follows a detailed workflow involving planning, retrieval, answering, replanning, content distillation, and performance evaluation. Heuristics and techniques implemented focus on content encoding, anonymizing questions, task breakdown, content distillation, chain of thought answering, verification, and model performance evaluation.

optillm is an OpenAI API compatible optimizing inference proxy implementing state-of-the-art techniques to enhance accuracy and performance of LLMs, focusing on reasoning over coding, logical, and mathematical queries. By leveraging additional compute at inference time, it surpasses frontier models across diverse tasks.

M.I.L.E.S. (Machine Intelligent Language Enabled System) is a voice assistant powered by GPT-4 Turbo, offering a range of capabilities beyond existing assistants. With its advanced language understanding, M.I.L.E.S. provides accurate and efficient responses to user queries. It seamlessly integrates with smart home devices, Spotify, and offers real-time weather information. Additionally, M.I.L.E.S. possesses persistent memory, a built-in calculator, and multi-tasking abilities. Its realistic voice, accurate wake word detection, and internet browsing capabilities enhance the user experience. M.I.L.E.S. prioritizes user privacy by processing data locally, encrypting sensitive information, and adhering to strict data retention policies.

xFinder is a model specifically designed for key answer extraction from large language models (LLMs). It addresses the challenges of unreliable evaluation methods by optimizing the key answer extraction module. The model achieves high accuracy and robustness compared to existing frameworks, enhancing the reliability of LLM evaluation. It includes a specialized dataset, the Key Answer Finder (KAF) dataset, for effective training and evaluation. xFinder is suitable for researchers and developers working with LLMs to improve answer extraction accuracy.

This repository provides a ready-to-run basic Slack AI solution that allows users to summarize threads and channels using OpenAI. Users can generate thread summaries, channel overviews, channel summaries since a specific time, and full channel summaries. The tool is powered by GPT-3.5-Turbo and an ensemble of NLP models. It requires Python 3.8 or higher, an OpenAI API key, Slack App with associated API tokens, Poetry package manager, and ngrok for local development. Users can customize channel and thread summaries, run tests with coverage using pytest, and contribute to the project for future enhancements.

The Generative AI Application Builder on AWS (GAAB) is a solution that provides a web-based management dashboard for deploying customizable Generative AI (Gen AI) use cases. Users can experiment with and compare different combinations of Large Language Model (LLM) use cases, configure and optimize their use cases, and integrate them into their applications for production. The solution is targeted at novice to experienced users who want to experiment and productionize different Gen AI use cases. It uses LangChain open-source software to configure connections to Large Language Models (LLMs) for various use cases, with the ability to deploy chat use cases that allow querying over users' enterprise data in a chatbot-style User Interface (UI) and support custom end-user implementations through an API.

K8sGPT is a tool for scanning your Kubernetes clusters, diagnosing, and triaging issues in simple English. It has SRE experience codified into its analyzers and helps to pull out the most relevant information to enrich it with AI.

Obsei is an open-source, low-code, AI powered automation tool that consists of an Observer to collect unstructured data from various sources, an Analyzer to analyze the collected data with various AI tasks, and an Informer to send analyzed data to various destinations. The tool is suitable for scheduled jobs or serverless applications as all Observers can store their state in databases. Obsei is still in alpha stage, so caution is advised when using it in production. The tool can be used for social listening, alerting/notification, automatic customer issue creation, extraction of deeper insights from feedbacks, market research, dataset creation for various AI tasks, and more based on creativity.

WritingAIPaper is a comprehensive guide for beginners on crafting AI conference papers. It covers topics like paper structure, core ideas, framework construction, result analysis, and introduction writing. The guide aims to help novices navigate the complexities of academic writing and contribute to the field with clarity and confidence. It also provides tips on readability improvement, logical strength, defensibility, confusion time reduction, and information density increase. The appendix includes sections on AI paper production, a checklist for final hours, common negative review comments, and advice on dealing with paper rejection.

DL3DV-10K is a large-scale dataset of real-world scene-level videos with annotations, covering diverse scenes with different levels of reflection, transparency, and lighting. It includes 10,510 multi-view scenes with 51.2 million frames at 4k resolution, and offers benchmark videos for novel view synthesis (NVS) methods. The dataset is designed to facilitate research in deep learning-based 3D vision and provides valuable insights for future research in NVS and 3D representation learning.

Quack Companion is a VSCode extension that provides smart linting, code chat, and coding guideline curation for developers. It aims to enhance the coding experience by offering a new tab with features like curating software insights with the team, code chat similar to ChatGPT, smart linting, and upcoming code completion. The extension focuses on creating a smooth contribution experience for developers by turning contribution guidelines into a live pair coding experience, helping developers find starter contribution opportunities, and ensuring alignment between contribution goals and project priorities. Quack collects limited telemetry data to improve its services and products for developers, with options for anonymization and disabling telemetry available to users.

AirGuard is an anti-tracking protection app designed to protect Android users from being tracked by AirTags and other Find My devices. The app periodically scans the surroundings for potential tracking devices and notifies the user if being followed. Users can play a sound on AirTags, view tracked locations, and participate in a research study on privacy protection. AirGuard does not monetize through ads or in-app purchases and ensures all tracking detection and notifications happen locally on the user's device.

The `unstructured` library provides open-source components for ingesting and pre-processing images and text documents, such as PDFs, HTML, Word docs, and many more. The use cases of `unstructured` revolve around streamlining and optimizing the data processing workflow for LLMs. `unstructured` modular functions and connectors form a cohesive system that simplifies data ingestion and pre-processing, making it adaptable to different platforms and efficient in transforming unstructured data into structured outputs.

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