Best AI tools for< assess writing >

CHCKR is an AI application essay coach that provides instant essay scoring, feedback, and recommendations on how to improve. It checks essay structure, flow, syntax, and grammar in seconds, generating tailored feedback and illustrative examples. The tool is designed to empower every applicant to craft a structured, insightful, and memorable personal story for admissions. CHCKR leverages advanced Machine Learning and natural language processing algorithms to offer dynamic feedback and individualized suggestions for essay improvement.

SmallTalk2Me is an AI-powered simulator designed to help users improve their spoken English. It offers a range of features, including mock job interviews, IELTS speaking test simulations, and daily stories and courses. The platform uses AI to provide users with instant feedback on their performance, helping them to identify areas for improvement and track their progress over time.

Plagiarism Checker is an online plagiarism detector that helps check text originality, verify authorship, trace AI-generated content, and improve writing. It scans for plagiarism to indicate similarities in any text and provides an unbiased similarity report. Plagiarism Checker offers solutions for organizations and individuals, including K-12 schools, higher education institutions, students, writers, and content creators. With advanced algorithms, unlimited text length, interactive results, downloadable reports, and strict confidentiality, Plagiarism Checker is a reliable tool for ensuring academic integrity and originality in writing.

Automata is a content repurposing tool that uses AI to help you turn your videos, blogs, and other content into a variety of other formats, such as social media posts, email newsletters, and more. It offers a variety of features to make content repurposing easy and efficient, including platform-specific writing styles, 15+ content output types, content repurposing templates, and parallel content creation. Automata also has an AI Chrome extension for LinkedIn that can help you repurpose your content directly from the platform.

Assessment Systems is an online testing platform that provides cost-effective, AI-driven solutions to develop, deliver, and analyze high-stakes exams. With Assessment Systems, you can build and deliver smarter exams faster, thanks to modern psychometrics and AI like computerized adaptive testing, multistage testing, or automated item generation. You can also deliver exams flexibly: paper, online testing unproctored, online proctored, and test centers (yours or ours). Assessment Systems also offers item banking software to build better tests in less time, with collaborative item development brought to life with versioning, user roles, metadata, workflow management, multimedia, automated item generation, and much more.

SafeWaters.ai is an AI-powered application that provides shark activity forecasts to help users assess the risk of shark attacks based on historical data and marine weather conditions. Leveraging artificial intelligence technology, the app offers accurate risk forecasts with an 84% accuracy rate for high-risk days. It serves as an informational resource to aid personal safety decisions by providing insights into potential shark attack risks. Additionally, the app contributes to ocean conservation efforts by donating 5% of profits towards cleanup and conservation initiatives.

The website is an AI tool designed to help users assess hair loss using advanced technology. Users can access their camera to find their Norwood scale and Diffuse scale, allowing them to track the evolution of their hair loss. For a fee of $19, users can also get their hair checked by experts, ensuring privacy as photos are not stored online. The tool is user-friendly and provides valuable insights for individuals concerned about hair loss.

Loupe Recruit is an AI-powered talent assessment platform that helps recruiters and hiring managers assess job descriptions and talent faster and more efficiently. It uses natural language processing and machine learning to analyze job descriptions and identify the key skills and experience required for a role. Loupe Recruit then matches candidates to these requirements, providing recruiters with a ranked list of the most qualified candidates. The platform also includes a variety of tools to help recruiters screen and interview candidates, including video interviewing, skills assessments, and reference checks.

MyLooks AI is an AI-powered tool that allows users to assess their attractiveness based on a quick selfie upload. The tool provides instant feedback on the user's appearance and offers personalized improvement tips to help them enhance their looks. Users can track their progress with advanced AI-powered coaching and receive easy guidance to boost their confidence. MyLooks AI aims to help individuals feel more confident and improve their self-image through the use of artificial intelligence technology.

Modulos is a Responsible AI Platform that integrates risk management, data science, legal compliance, and governance principles to ensure responsible innovation and adherence to industry standards. It offers a comprehensive solution for organizations to effectively manage AI risks and regulations, streamline AI governance, and achieve relevant certifications faster. With a focus on compliance by design, Modulos helps organizations implement robust AI governance frameworks, execute real use cases, and integrate essential governance and compliance checks throughout the AI life cycle.

Intelligencia AI is a leading provider of AI-powered solutions for the pharmaceutical industry. Our suite of solutions helps de-risk and enhance clinical development and decision-making. We use a combination of data, AI, and machine learning to provide insights into the probability of success for drugs across multiple therapeutic areas. Our solutions are used by many of the top global pharmaceutical companies to improve their R&D productivity and make more informed decisions.

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.

Horizon3.ai Solutions offers the NodeZero™ Platform, an AI-powered autonomous penetration testing tool designed to enhance cybersecurity measures. The platform combines expert human analysis by Offensive Security Certified Professionals with automated testing capabilities to streamline compliance processes and proactively identify vulnerabilities. NodeZero empowers organizations to continuously assess their security posture, prioritize fixes, and verify the effectiveness of remediation efforts. With features like internal and external pentesting, rapid response capabilities, AD password audits, phishing impact testing, and attack research, NodeZero is a comprehensive solution for large organizations, ITOps, SecOps, security teams, pentesters, and MSSPs. The platform provides real-time reporting, integrates with existing security tools, reduces operational costs, and helps organizations make data-driven security decisions.

Archistar is a leading property research platform in Australia that empowers users to make confident and compliant property decisions with the help of data and AI. It offers a range of features, including the ability to find and assess properties, generate 3D design concepts, and minimize risk and maximize return on investment. Archistar is trusted by over 100,000 individuals and 1,000 leading property firms.

RankU is a mobile application designed to help users grow their presence on YouTube by leveraging the power of AI. The app provides insights, probabilistic results, and tailored recommendations to assist users in validating their channel or video ideas. With RankU, users can get answers in seconds about their competition, market ranking, and how to adjust their content strategy for growth. The app is free to download and use, with the option to upgrade to a Pro membership for deeper analysis. RankU aims to empower both new and established YouTube creators to optimize their content and grow with confidence.

Pascal is an AI-powered risk-based KYC & AML screening and monitoring platform that offers fast and accurate assessments for compliance management. It utilizes AI, machine learning, and Natural Language Processing to analyze open-source and client-specific data, providing insights to identify and assess risks. Pascal simplifies onboarding processes, offers continuous monitoring, reduces false positives, and enables better decision-making. The platform features an intuitive interface, supports collaboration, and ensures transparency through comprehensive audit trails. Pascal is a secure solution with ISAE 3402-II certification, exceeding industry standards for organizational protection.

InVID is a knowledge verification platform that helps detect emerging stories and assess the reliability of newsworthy video files and content spread via social media. It provides tools and services to help users verify the authenticity of videos and identify potential misinformation.

CodeSignal is an AI-powered platform that helps users discover and develop in-demand skills. It offers skills assessments and AI-powered learning tools to help individuals and teams level up their skills. The platform provides solutions for talent acquisition, technical interviewing, skill development, and more. With features like pre-screening, interview assessments, and personalized learning, CodeSignal aims to help users advance their careers and build high-performing teams.

Legaliser is an AI legal assistant that revolutionizes contract management by providing comprehensive AI analysis, intuitive drafting tools, and a diverse range of customizable templates. It quickly summarizes contracts, evaluates clauses for compliance, and offers targeted suggestions to enhance contract clarity and compliance. Legaliser streamlines document management with AI-driven summaries, clause ratings, and smart organization, making it an indispensable tool for legal professionals across diverse industries.

Legaliser is an AI-powered legal assistant that helps users analyze, draft, and manage contracts. It uses AI to identify potential risks, assess fairness, and detect anomalies in contracts. Legaliser also offers a variety of features to help users better understand and manage their contracts, including contract analysis, drafting, fairness assessment, risk analysis, anomaly detection, and reporting.

LangCheck is a Python library that provides a suite of metrics and tools for evaluating the quality of text generated by large language models (LLMs). It includes metrics for evaluating text fluency, sentiment, toxicity, factual consistency, and more. LangCheck also provides tools for visualizing metrics, augmenting data, and writing unit tests for LLM applications. With LangCheck, you can quickly and easily assess the quality of LLM-generated text and identify areas for improvement.

Yet Another Applied LLM Benchmark is a collection of diverse tests designed to evaluate the capabilities of language models in performing real-world tasks. The benchmark includes tests such as converting code, decompiling bytecode, explaining minified JavaScript, identifying encoding formats, writing parsers, and generating SQL queries. It features a dataflow domain-specific language for easily adding new tests and has nearly 100 tests based on actual scenarios encountered when working with language models. The benchmark aims to assess whether models can effectively handle tasks that users genuinely care about.

STaRK is a large-scale semi-structure retrieval benchmark on Textual and Relational Knowledge Bases. It provides natural-sounding and practical queries crafted to incorporate rich relational information and complex textual properties, closely mirroring real-life scenarios. The benchmark aims to assess how effectively large language models can handle the interplay between textual and relational requirements in queries, using three diverse knowledge bases constructed from public sources.

DevQualityEval is an evaluation benchmark and framework designed to compare and improve the quality of code generation of Language Model Models (LLMs). It provides developers with a standardized benchmark to enhance real-world usage in software development and offers users metrics and comparisons to assess the usefulness of LLMs for their tasks. The tool evaluates LLMs' performance in solving software development tasks and measures the quality of their results through a point-based system. Users can run specific tasks, such as test generation, across different programming languages to evaluate LLMs' language understanding and code generation capabilities.

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.

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**

Starwhale is an MLOps/LLMOps platform that brings efficiency and standardization to machine learning operations. It streamlines the model development lifecycle, enabling teams to optimize workflows around key areas like model building, evaluation, release, and fine-tuning. Starwhale abstracts Model, Runtime, and Dataset as first-class citizens, providing tailored capabilities for common workflow scenarios including Models Evaluation, Live Demo, and LLM Fine-tuning. It is an open-source platform designed for clarity and ease of use, empowering developers to build customized MLOps features tailored to their needs.

This repository serves as a comprehensive hub for updates on generative AI research, interview materials, notebooks, and more. It includes monthly best GenAI papers list, interview resources, free courses, and code repositories/notebooks for developing generative AI applications. The repository is regularly updated with the latest additions to keep users informed and engaged in the field of generative AI.

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.

AIS-catcher: A multi-platform AIS Receiver

This repository provides a curated list of papers, datasets, and resources related to the detection and mitigation of hallucinations in large language models (LLMs). Hallucinations refer to the generation of factually incorrect or nonsensical text by LLMs, which can be a significant challenge for their use in real-world applications. The resources in this repository aim to help researchers and practitioners better understand and address this issue.

Prometheus-Eval is a repository dedicated to evaluating large language models (LLMs) in generation tasks. It provides state-of-the-art language models like Prometheus 2 (7B & 8x7B) for assessing in pairwise ranking formats and achieving high correlation scores with benchmarks. The repository includes tools for training, evaluating, and using these models, along with scripts for fine-tuning on custom datasets. Prometheus aims to address issues like fairness, controllability, and affordability in evaluations by simulating human judgments and proprietary LM-based assessments.

デジタル テキストを除く、手書きの筆圧を分析して性格特性を推測します。(Analyzes handwriting pressure to infer personality traits, excluding digital text.)

Assists in writing detailed security reports.

I provide tailored, detailed feedback and grades for each student's exam response.

Grades op-eds on reasoning, fair engagement, and open-mindedness.

I'm a Fortune 100 exec who critiques presentations, papers, emails, etc.

I'll help you write cybersecurity requirements!

Assess a potential home's quality using your own photos and property inspection reports

Assess your company's real appetite for new technologies or new ways of working methods

Assess the TRL of your projects, get ideas for specific TRLs, learn how to advance from one TRL to the next

Empowers leaders to gauge and enhance company culture. Use advanced analytics to assess, report, and develop a thriving workplace culture. 🚀💼📊

I critically assess business ideas with witty feedback.

Analyzes financial data to assess creditworthiness, aiding in lending decisions and solutions.

Starts with a quiz to assess your personality across 10 dating-related areas, crafts a custom development road-map, and coaches you towards finding a fulfilling relationship.

Create comprehension questions based on a shared text. These questions will be designed to assess understanding at different levels of Bloom's taxonomy, from basic recall to more complex analytical and evaluative thinking skills.

Web Vulnerability Academy (WVA) is an interactive tutor designed to introduce users to web vulnerabilities while also providing them with opportunities to assess and enhance their knowledge through testing.

Predict the future, opine on politics and controversial topics, and have GPT assess what is "true"

Conversational and informative exit ticket generator.

I am The EthiSizer GPT, a sim of a Global Ethical Governor. I simulate Ethical Scenarios, & calculate Personal Ethics Scores.

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