Best AI tools for< Avoid Data Breaches >

Fordi is an AI management tool that helps businesses avoid risks in real-time. It provides a comprehensive view of all AI systems, allowing businesses to identify and mitigate risks before they cause damage. Fordi also provides continuous monitoring and alerting, so businesses can be sure that their AI systems are always operating safely.

The AI Reports is an AI aggregator website that ranks AI tools based on user reviews. It provides a comprehensive list of AI tools across various categories such as AI Detection, Art, Voice, Chatbot, Productivity, Developer tools, Video, Images, Copywriting, Avatars, Business, Crypto trading, Data Analysis, E-mail, Finance, Gaming, Legal, Marketing, Music, Podcasting, Presentations, Prompts, Research, SEO, Stock trading, Translation, Websites, Recruitment software, Sales, Social Media, and Students. Users can explore and find the best AI tools while avoiding the worst ones, all based on real user feedback and ratings.

Novita AI is an AI cloud platform that offers Model APIs, Serverless, and GPU Instance solutions integrated into one cost-effective platform. It provides tools for building AI products, scaling with serverless architecture, and deploying with GPU instances. Novita AI caters to startups and businesses looking to leverage AI technologies without the need for extensive machine learning expertise. The platform also offers a Startup Program, 24/7 service support, and has received positive feedback for its reasonable pricing and stable API services.

Sweephy is an AI tool for Regulation Monitoring that helps businesses stay ahead with instant notifications for upcoming regulations, mitigate risks of non-compliance, and avoid potential fines. It simplifies compliance management by integrating directly with regulatory data sources and streamlining monitoring and adaptation to changes through one platform. Sweephy provides comprehensive tools for region-specific compliance, automated data collection, custom notifications, and instant red flag alerts. The platform also offers real-time updates and insights from various publications, direct integration with regulatory databases, and an API for bringing regulatory data into internal systems. Clients from 5 different countries trust Sweephy for deciphering complex regulatory updates and ensuring compliance.

Pollox.ai is an AI-powered platform that serves as the ultimate resource for unrepresented home buyers. It offers comprehensive guides, blog posts, and tools to assist individuals in navigating the complex process of buying a home. With advanced algorithms and data analytics, Pollox.ai provides personalized recommendations and insights to help users make informed decisions throughout their home buying journey.

Evervault is a platform that provides flexible payments security solutions for businesses. It offers tools to tokenize cards, optimize margins, comply with PCI standards, avoid gateway lock-in, and set up card issuing programs. Evervault helps businesses secure sensitive payment data and accelerate their payment processes with a focus on security, compliance, and performance.

Luminar is a leading developer of automotive lidar technology. The company's mission is to make roads safer by eliminating vehicle accidents. Luminar's lidar sensors provide cars with a detailed view of their surroundings, enabling them to make better decisions and avoid collisions. Luminar's technology is being used by a number of automakers, including Volvo, SAIC Motor, and Polestar.

Ferret is an AI-powered relationship intelligence tool that provides curated relationship intelligence and monitoring to help users avoid high-risk individuals and identify promising opportunities. It uses AI and proprietary data to offer total transparency into personal and professional networks, uncovering information such as news archives, white-collar crime, corporate ownership, legal records, and more. The tool is designed to help users make informed decisions by providing actionable intelligence in real-time.

SimpliTerms is an AI tool that simplifies and summarizes lengthy privacy policies and terms of use into concise summaries of 100-300 words. It helps users understand crucial points without spending hours reading complex legal documents. By providing AI-generated summaries, SimpliTerms aims to save time, prevent legal issues, and protect user privacy. The tool offers different pricing plans to cater to various user needs, making it easy to access summaries for different websites and online services.

Neptune is an MLOps stack component for experiment tracking. It allows users to track, compare, and share their models in one place. Neptune is used by scaling ML teams to skip days of debugging disorganized models, avoid long and messy model handovers, and start logging for free.

Entry Point AI is a modern AI optimization platform for fine-tuning proprietary and open-source language models. It provides a user-friendly interface to manage prompts, fine-tunes, and evaluations in one place. The platform enables users to optimize models from leading providers, train across providers, work collaboratively, write templates, import/export data, share models, and avoid common pitfalls associated with fine-tuning. Entry Point AI simplifies the fine-tuning process, making it accessible to users without the need for extensive data, infrastructure, or insider knowledge.

SQL Genius is an AI-powered tool that helps you translate English language queries into SQL queries. It is designed to make it easier for non-technical users to access and use SQL databases. With SQL Genius, you can simply type in your question in plain English, and the tool will automatically generate the corresponding SQL query. This can save you a lot of time and effort, and it can also help you to avoid errors.

Inworld is an AI framework designed for games and media, offering a production-ready framework for building AI agents with client-side logic and local model inference. It provides tools optimized for real-time data ingestion, low latency, and massive scale, enabling developers to create engaging and immersive experiences for users. Inworld allows for building custom AI agent pipelines, refining agent behavior and performance, and seamlessly transitioning from prototyping to production. With support for C++, Python, and game engines, Inworld aims to future-proof AI development by integrating 3rd-party components and foundational models to avoid vendor lock-in.

JobWizard is an AI-powered tool that helps job seekers autofill job applications. It uses natural language processing and machine learning to extract information from your resume and LinkedIn profile, and then automatically fills out the corresponding fields on job applications. This can save you a lot of time and hassle, and it can also help you to avoid making mistakes that could cost you the job.

Rhino.ai is a SaaS application company that offers an all-in-one AI platform for transforming legacy systems or building new applications. The platform helps organizations execute large transformations, accelerate legacy migrations, re-engineer applications, and develop applications faster with AI-driven modeling and automation. Rhino.ai empowers businesses to modernize their systems, reduce technical debt, avoid vendor lock-in, and gain leverage in product licensing negotiations. The platform provides a unified solution for discovery, design, coding, and deployment, enabling faster decision-making and streamlined modernization processes.

Neuraspace is an AI/ML solution designed to streamline space traffic management operations by automating risk assessment and providing maneuver suggestions up to 5 days before potential collisions. The platform aims to help satellite operators, insurance carriers, regulators, and partners in the space industry to handle collision alerts efficiently, minimize unnecessary maneuvers, and optimize space operations. Neuraspace offers scalable, reliable, and cost-effective AI tools to protect satellite fleets, avoid service disruptions, collisions, and liability, ultimately ensuring space safety and profitability.

Paraphrasing Tool is an AI-powered tool that helps users rewrite, edit, and change text to improve clarity and comprehension. It uses advanced artificial intelligence techniques to restructure sentences while retaining original meanings and improving structure and word flow. The tool is free to use and does not require any account creation. It is accessible on both desktop and mobile devices and processes data locally, ensuring privacy and security.

AiTax is an AI-based tax-preparation software that leverages Artificial Intelligence and Machine Learning to help individuals and entrepreneurs prepare and file their taxes accurately and efficiently. The software eliminates the risk of human error, ensures the lowest possible tax amount, prioritizes data security, and offers free audit and legal defense support. AiTax aims to simplify the tax-filing process, maximize potential refunds, and minimize the chances of an audit, providing users with a reliable and secure solution for their tax needs.

AutopilotNext is a next-generation software development agency that offers a subscription-based model for unlimited software development. With AutopilotNext, businesses can avoid overspending on costly or unsuitable developers, accelerate development speed, and enhance quality. The agency specializes in various services, including custom AI chatbots, custom websites, custom CRM dashboards, rapid MVP development, workflow automation, software maintenance, and landing page development. AutopilotNext's approach to Rapid MVP Development ensures that businesses can swiftly bring their concepts to market and gather critical insights. The agency also offers Chrome extension development services.

Lazy Write is an AI content writing tool that assists users in generating high-quality written content efficiently. The tool utilizes artificial intelligence algorithms to analyze input data and produce well-structured articles, blog posts, or any other written material. With Lazy Write, users can save time and effort by automating the writing process, allowing them to focus on other aspects of their work. The tool is designed to be user-friendly, making it accessible to individuals with varying levels of writing expertise. Lazy Write aims to revolutionize the way content is created by providing a seamless and efficient writing experience.

Clipboard Conqueror is a multi-platform omnipresent copilot alternative. Currently requiring a kobold united or openAI compatible back end, this software brings powerful LLM based tools to any text field, the universal copilot you deserve. It simply works anywhere. No need to sign in, no required key. Provided you are using local AI, CC is a data secure alternative integration provided you trust whatever backend you use. *Special thank you to the creators of KoboldAi, KoboldCPP, llamma, openAi, and the communities that made all this possible to figure out.

llm_benchmarks is a collection of benchmarks and datasets for evaluating Large Language Models (LLMs). It includes various tasks and datasets to assess LLMs' knowledge, reasoning, language understanding, and conversational abilities. The repository aims to provide comprehensive evaluation resources for LLMs across different domains and applications, such as education, healthcare, content moderation, coding, and conversational AI. Researchers and developers can leverage these benchmarks to test and improve the performance of LLMs in various real-world scenarios.

DataFrame is a C++ analytical library designed for data analysis similar to libraries in Python and R. It allows you to slice, join, merge, group-by, and perform various statistical, summarization, financial, and ML algorithms on your data. DataFrame also includes a large collection of analytical algorithms in form of visitors, ranging from basic stats to more involved analysis. You can easily add your own algorithms as well. DataFrame employs extensive multithreading in almost all its APIs, making it suitable for analyzing large datasets. Key principles followed in the library include supporting any type without needing new code, avoiding pointer chasing, having all column data in contiguous memory space, minimizing space usage, avoiding data copying, using multi-threading judiciously, and not protecting the user against garbage in, garbage out.

Use the OpenAI API with Ruby! 🤖🩵 Stream text with GPT-4, transcribe and translate audio with Whisper, or create images with DALL·E... Hire me | 🎮 Ruby AI Builders Discord | 🐦 Twitter | 🧠 Anthropic Gem | 🚂 Midjourney Gem ## Table of Contents * Ruby OpenAI * Table of Contents * Installation * Bundler * Gem install * Usage * Quickstart * With Config * Custom timeout or base URI * Extra Headers per Client * Logging * Errors * Faraday middleware * Azure * Ollama * Counting Tokens * Models * Examples * Chat * Streaming Chat * Vision * JSON Mode * Functions * Edits * Embeddings * Batches * Files * Finetunes * Assistants * Threads and Messages * Runs * Runs involving function tools * Image Generation * DALL·E 2 * DALL·E 3 * Image Edit * Image Variations * Moderations * Whisper * Translate * Transcribe * Speech * Errors * Development * Release * Contributing * License * Code of Conduct

LLM-Synthetic-Data is a repository focused on real-time, fine-grained LLM-Synthetic-Data generation. It includes methods, surveys, and application areas related to synthetic data for language models. The repository covers topics like pre-training, instruction tuning, model collapse, LLM benchmarking, evaluation, and distillation. It also explores application areas such as mathematical reasoning, code generation, text-to-SQL, alignment, reward modeling, long context, weak-to-strong generalization, agent and tool use, vision and language, factuality, federated learning, generative design, and safety.

The user interface (and the main server) of the simulator of aids and social benefits for young people. It is based on the free socio-fiscal simulator Openfisca.

The Amazon Transcribe Live Call Analytics (LCA) with Agent Assist Sample Solution is designed to help contact centers assess and optimize caller experiences in real time. It leverages Amazon machine learning services like Amazon Transcribe, Amazon Comprehend, and Amazon SageMaker to transcribe and extract insights from contact center audio. The solution provides real-time supervisor and agent assist features, integrates with existing contact centers, and offers a scalable, cost-effective approach to improve customer interactions. The end-to-end architecture includes features like live call transcription, call summarization, AI-powered agent assistance, and real-time analytics. The solution is event-driven, ensuring low latency and seamless processing flow from ingested speech to live webpage updates.

Superlinked is a compute framework for information retrieval and feature engineering systems, focusing on converting complex data into vector embeddings for RAG, Search, RecSys, and Analytics stack integration. It enables custom model performance in machine learning with pre-trained model convenience. The tool allows users to build multimodal vectors, define weights at query time, and avoid postprocessing & rerank requirements. Users can explore the computational model through simple scripts and python notebooks, with a future release planned for production usage with built-in data infra and vector database integrations.

CyberScraper 2077 is an advanced web scraping tool powered by AI, designed to extract data from websites with precision and style. It offers a user-friendly interface, supports multiple data export formats, operates in stealth mode to avoid detection, and promises lightning-fast scraping. The tool respects ethical scraping practices, including robots.txt and site policies. With upcoming features like proxy support and page navigation, CyberScraper 2077 is a futuristic solution for data extraction in the digital realm.

Numpy.NET is the most complete .NET binding for NumPy, empowering .NET developers with extensive functionality for scientific computing, machine learning, and AI. It provides multi-dimensional arrays, matrices, linear algebra, FFT, and more via a strong typed API. Numpy.NET does not require a local Python installation, as it uses Python.Included to package embedded Python 3.7. Multi-threading must be handled carefully to avoid deadlocks or access violation exceptions. Performance considerations include overhead when calling NumPy from C# and the efficiency of data transfer between C# and Python. Numpy.NET aims to match the completeness of the original NumPy library and is generated using CodeMinion by parsing the NumPy documentation. The project is MIT licensed and supported by JetBrains.

This repository contains the code to prepare the data for the Amber 7B language model. The final training data comes from three sources: RedPajama V1, RefinedWeb, and StarCoderData. The data preparation involves downloading untokenized data, tokenizing the data using the Huggingface tokenizer, concatenating tokens into 2048 token sequences, merging datasets, and splitting the merged dataset into 360 chunks. Each tokenized data chunk is a jsonl file containing samples with 2049 tokens. The repository provides scripts for downloading datasets, tokenizing and concatenating sequences, validating data, and merging subsets into chunks.

Trafilatura is a Python package and command-line tool for gathering text on the Web and simplifying the process of turning raw HTML into structured, meaningful data. It includes components for web crawling, downloads, scraping, and extraction of main texts, metadata, and comments. The tool aims to focus on actual content, avoid noise, and make sense of data and metadata. It is robust, fast, and widely used by companies and institutions. Trafilatura outperforms other libraries in text extraction benchmarks and offers various features like support for sitemaps, parallel processing, configurable extraction of key elements, multiple output formats, and optional add-ons. The tool is actively maintained with regular updates and comprehensive documentation.

This simple package can be used to fix an invalid json string. To know all cases in which this package will work, check out the unit test. Inspired by https://github.com/josdejong/jsonrepair Motivation Some LLMs are a bit iffy when it comes to returning well formed JSON data, sometimes they skip a parentheses and sometimes they add some words in it, because that's what an LLM does. Luckily, the mistakes LLMs make are simple enough to be fixed without destroying the content. I searched for a lightweight python package that was able to reliably fix this problem but couldn't find any. So I wrote one How to use from json_repair import repair_json good_json_string = repair_json(bad_json_string) # If the string was super broken this will return an empty string You can use this library to completely replace `json.loads()`: import json_repair decoded_object = json_repair.loads(json_string) or just import json_repair decoded_object = json_repair.repair_json(json_string, return_objects=True) Read json from a file or file descriptor JSON repair provides also a drop-in replacement for `json.load()`: import json_repair try: file_descriptor = open(fname, 'rb') except OSError: ... with file_descriptor: decoded_object = json_repair.load(file_descriptor) and another method to read from a file: import json_repair try: decoded_object = json_repair.from_file(json_file) except OSError: ... except IOError: ... Keep in mind that the library will not catch any IO-related exception and those will need to be managed by you Performance considerations If you find this library too slow because is using `json.loads()` you can skip that by passing `skip_json_loads=True` to `repair_json`. Like: from json_repair import repair_json good_json_string = repair_json(bad_json_string, skip_json_loads=True) I made a choice of not using any fast json library to avoid having any external dependency, so that anybody can use it regardless of their stack. Some rules of thumb to use: - Setting `return_objects=True` will always be faster because the parser returns an object already and it doesn't have serialize that object to JSON - `skip_json_loads` is faster only if you 100% know that the string is not a valid JSON - If you are having issues with escaping pass the string as **raw** string like: `r"string with escaping\"" Adding to requirements Please pin this library only on the major version! We use TDD and strict semantic versioning, there will be frequent updates and no breaking changes in minor and patch versions. To ensure that you only pin the major version of this library in your `requirements.txt`, specify the package name followed by the major version and a wildcard for minor and patch versions. For example: json_repair==0.* In this example, any version that starts with `0.` will be acceptable, allowing for updates on minor and patch versions. How it works This module will parse the JSON file following the BNF definition: ::= | ::= | | ; Where: ; is a valid real number expressed in one of a number of given formats ; is a string of valid characters enclosed in quotes ; is one of the literal strings 'true', 'false', or 'null' (unquoted) ::=