Best AI tools for< Pass Pmp Exam >

Akismet is a powerful anti-spam solution that uses advanced machine learning and AI to protect websites from all forms of spam, including comment spam, form submissions, and forum bots. With an accuracy rate of 99.99%, Akismet analyzes user-submitted text in real time, allowing legitimate submissions through while blocking spam. This automated filtering saves users time and money, as they no longer need to manually review submissions or worry about the financial risks associated with spam attacks. Akismet is trusted by some of the biggest companies in the world and is proven to increase conversion rates by eliminating CAPTCHA and providing peace of mind to security teams.

Get-offer.me is an AI Interview Assistant application designed to help users excel in job interviews by providing real-time assistance with answers. The AI assistant supports over 20 languages and seamlessly integrates with various online meeting software. By offering live support, contextually appropriate responses, and boosting confidence, Get-offer.me aims to enhance users' interview performance and increase their chances of securing job offers.

Beebzi.AI is an all-in-one AI content creation platform that offers a wide array of tools for generating various types of content such as articles, blogs, emails, images, voiceovers, and more. The platform utilizes advanced AI technology and behavioral science to empower businesses and individuals in their marketing and sales endeavors. With features like AI Article Wizard, AI Room Designer, AI Landing Page Generator, and AI Code Generation, Beebzi.AI revolutionizes content creation by providing customizable templates, multiple language support, and real-time data insights. The platform also offers various subscription plans tailored for individual entrepreneurs, teams, and businesses, with flexible pricing models based on word count allocations. Beebzi.AI aims to streamline content creation processes, enhance productivity, and drive organic traffic through SEO-optimized content.

AI Pay is a tool that enables websites to implement AI and pass on the costs to the users of the website. Users can access AI features through the AI Pay browser extension. The tool allows websites to monetize by receiving a portion of the users' AI Pay usage cost. It offers features like starting a new session, open-source GPT apps deployment, chat bot developer documentation, and monetizing websites with optional AI features.

Project Infinite is a revolutionary platform that empowers you to create an AI-powered version of yourself, ensuring your stories, wisdom, and legacy live on for generations to come. Through an intuitive storytelling platform, you can share your experiences, thoughts, and memories, which are then synthesized by advanced AI algorithms to create a dynamic digital persona that mimics your speech patterns, values, and even sense of humor. This Infinite Avatar can interact with your loved ones anytime, anywhere, providing guidance, inspiration, and a comforting connection to your presence.

Interview Solver is a desktop application that acts as your copilot during coding interviews, providing instant solutions to LeetCode problems and system design questions. It features screengrabbing capabilities, one-shot solutions, query selected text functionality, global hotkeys, and syntax highlighting for all major languages. Interview Solver is designed to give you an AI advantage during live interviews, helping you land your dream job.

Move AI is an AI-powered moving assistant that simplifies the relocation process by providing personalized moving blueprints, matching users with top-tier vendors, and overseeing every aspect of the move in real-time. The platform streamlines tasks, offers fixed quotes, and anticipates needs to ensure a smooth and efficient moving experience. Despite being AI-driven, Move AI also offers human support for personalized care and attention.

Boredhumans.com is a website that aims to provide entertainment and fun activities for users who are feeling bored or looking for ways to pass the time. The site offers a variety of games, quizzes, puzzles, and other interactive content to keep users engaged and entertained. Users can access the site for free and enjoy a wide range of activities to help beat boredom and have a good time.

Phrasly is the best AI detection remover that can help you bypass AI detection. With Phrasly, you can rewrite your text to make it undetectable by AI. This is a powerful tool that can be used for a variety of purposes, such as: - Avoiding plagiarism - Passing AI-powered writing tests - Getting your content past AI filters - Protecting your privacy - And more!

Chatmate AI is a website that allows users to chat with artificial intelligent persons, or "mates". These mates are designed to simulate real human conversation, and they can even develop personal bonds with users over time. Chatmate AI is powered by OpenAI GPT-3, which gives the mates access to a vast amount of knowledge and allows them to understand and respond to user input in a natural way. The website is currently in limited beta, and usage is free for all users.

Swooped is an AI-powered platform that offers AI-generated resumes and cover letters optimized to pass ATS system filters and increase visibility to potential employers. It provides personalized job matches, AI-driven resume and cover letter optimization, and a user-friendly interface to streamline the job search process. Swooped helps users save time, apply for more jobs effortlessly, and stand out from the competition to land their dream job.

Theoriestudio.nl is an online platform that provides a comprehensive theory course, practice tests, and mock exams to help users pass their theory exam for driving license in the Netherlands. The platform utilizes AI (Artificial Intelligence) to enhance the learning experience and improve the chances of passing the exam in one attempt. With its user-friendly interface, accessible on any device, and a supportive community, Theoriestudio.nl aims to make the process of obtaining a driving license easier and more efficient.

Human or Not is an AI tool designed as a social Turing game where users can interact with either a human or an AI bot and try to determine which is which. The game challenges players to chat with someone for two minutes and discern whether the entity is human or artificial intelligence. The ultimate goal is for AI robots to pass the Turing test while humans aim to prevent this outcome. The website features games, a blog, and a FAQ section, all centered around the theme of human-AI interaction.

Dasha is a conversational AI-as-a-service platform that allows developers to embed realistic voice and text conversational capabilities into their apps or products. With a single integration, developers can create smart conversational apps for web, desktop, mobile, IoT, and call centers. Dasha's declarative programming language, DashaScript, makes it easy to design complex real-world conversations that pass a limited Turing test. Developers can use Dasha to automate call center conversations, recreate the Google Duplex demo, or create no-code GUIs for their users. Dasha's platform is flexible and can be integrated with any platform or programming language. It also offers a free tier for builders and testers.

The US Citizenship Practice Exam is a website designed to help users study for the US naturalization test. The site provides a practice exam with 100 questions, graded by an AI created by OpenAI. Users need to answer 6 out of 10 questions correctly to pass the actual test, which is an oral test graded by a USCIS officer. The website is created by Evan Conrad and is open source on Github. Users can find the full list of questions and rules on the site.

Skillflow is an AI platform built for learning. Unlike ChatGPT, Skillflow only requires a single prompt to start exploring a topic. Additionally, Skillflow is structured like a video game to make the whole process a lot more fun! Skillflow uses the most advanced models to generate course content, games, lesson personalization and more. Read the content and pass the tests to continue into the next module.

Quick Resume is an AI resume creation tool that allows users to generate professional resumes and CVs in seconds using advanced AI models. The tool offers a simple and quick process where users can select the type of resume they want, input their personal information, work experience, education, and skills, and then download the resume in PDF or LaTeX format. Quick Resume utilizes Google Gemini AI, a state-of-the-art artificial intelligence system, to ensure that resumes stand out in the job market. The tool is designed to be ATS-friendly, making it easier for users to pass through Applicant Tracking Systems used by companies.

AlphaFold3 is an implementation of the Alpha Fold 3 model in PyTorch for accurate structure prediction of biomolecular interactions. It includes modules for genetic diffusion and full model examples for forward pass computations. The tool allows users to generate random pair and single representations, operate on atomic coordinates, and perform structure predictions based on input tensors. The implementation also provides functionalities for training and evaluating the model.

StableToolBench is a new benchmark developed to address the instability of Tool Learning benchmarks. It aims to balance stability and reality by introducing features such as a Virtual API System with caching and API simulators, a new set of solvable queries determined by LLMs, and a Stable Evaluation System using GPT-4. The Virtual API Server can be set up either by building from source or using a prebuilt Docker image. Users can test the server using provided scripts and evaluate models with Solvable Pass Rate and Solvable Win Rate metrics. The tool also includes model experiments results comparing different models' performance.

Air is a live-reloading command line utility for developing Go applications. It provides colorful log output, customizable build or any command, support for excluding subdirectories, and allows watching new directories after Air started. Users can overwrite specific configuration from arguments and pass runtime arguments for running the built binary. Air can be installed via `go install`, `install.sh`, or `goblin.run`, and can also be used with Docker/Podman. It supports debugging, Docker Compose, and provides a Q&A section for common issues. The tool requires Go 1.16+ for development and welcomes pull requests. Air is released under the GNU General Public License v3.0.

StableToolBench is a new benchmark developed to address the instability of Tool Learning benchmarks. It aims to balance stability and reality by introducing features like Virtual API System, Solvable Queries, and Stable Evaluation System. The benchmark ensures consistency through a caching system and API simulators, filters queries based on solvability using LLMs, and evaluates model performance using GPT-4 with metrics like Solvable Pass Rate and Solvable Win Rate.

AudioSeal is a method for speech localized watermarking, designed with state-of-the-art robustness and detector speed. It jointly trains a generator to embed a watermark in audio and a detector to detect watermarked fragments in longer audios, even in the presence of editing. The tool achieves top-notch detection performance at the sample level, generates minimal alteration of signal quality, and is robust to various audio editing types. With a fast, single-pass detector, AudioSeal surpasses existing models in speed, making it ideal for large-scale and real-time applications.

GaiaNet-node is a tool that allows users to run their own GaiaNet node, enabling them to interact with an AI agent. The tool provides functionalities to install the default node software stack, initialize the node with model files and vector database files, start the node, stop the node, and update configurations. Users can use pre-set configurations or pass a custom URL for initialization. The tool is designed to facilitate communication with the AI agent and access node information via a browser. GaiaNet-node requires sudo privilege for installation but can also be installed without sudo privileges with specific commands.

PatchWork is an open-source framework designed for automating development tasks using large language models. It enables users to automate workflows such as PR reviews, bug fixing, security patching, and more through a self-hosted CLI agent and preferred LLMs. The framework consists of reusable atomic actions called Steps, customizable LLM prompts known as Prompt Templates, and LLM-assisted automations called Patchflows. Users can run Patchflows locally in their CLI/IDE or as part of CI/CD pipelines. PatchWork offers predefined patchflows like AutoFix, PRReview, GenerateREADME, DependencyUpgrade, and ResolveIssue, with the flexibility to create custom patchflows. Prompt templates are used to pass queries to LLMs and can be customized. Contributions to new patchflows, steps, and the core framework are encouraged, with chat assistants available to aid in the process. The roadmap includes expanding the patchflow library, introducing a debugger and validation module, supporting large-scale code embeddings, parallelization, fine-tuned models, and an open-source GUI. PatchWork is licensed under AGPL-3.0 terms, while custom patchflows and steps can be shared using the Apache-2.0 licensed patchwork template repository.

Cursive is a universal and intuitive framework for interacting with LLMs. It is extensible, allowing users to hook into any part of a completion life cycle. Users can easily describe functions that LLMs can use with any supported model. Cursive aims to bridge capabilities between different models, providing a single interface for users to choose any model. It comes with built-in token usage and costs calculations, automatic retry, and model expanding features. Users can define and describe functions, generate Pydantic BaseModels, hook into completion life cycle, create embeddings, and configure retry and model expanding behavior. Cursive supports various models from OpenAI, Anthropic, OpenRouter, Cohere, and Replicate, with options to pass API keys for authentication.

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) ::=