Best AI tools for< Text Evaluation >

User Evaluation is an AI-powered insights and analysis tool that offers a comprehensive platform for customer understanding and data analysis. It provides advanced features such as AI-generated reports and presentations, sentiment analysis, transcription solutions, and chat capabilities. The tool helps businesses extract valuable insights from various data sources like audio, video, text, and CSV files, enabling them to make informed decisions and improve customer experiences.

MindpoolAI is a tool that allows users to access multiple leading AI models with a single query. This means that users can get the answers they are looking for, spark ideas, and fuel their work, creativity, and curiosity. MindpoolAI is easy to use and does not require any technical expertise. Users simply need to enter their prompt and select the AI models they want to compare. MindpoolAI will then send the query to the selected models and present the results in an easy-to-understand format.

Airtrain is a no-code compute platform for Large Language Models (LLMs). It provides a user-friendly interface for fine-tuning, evaluating, and deploying custom AI models. Airtrain also offers a marketplace of pre-trained models that can be used for a variety of tasks, such as text generation, translation, and question answering.

SDXL Turbo is a cutting-edge text-to-image generation model that leverages Adversarial Diffusion Distillation (ADD) technology for high-quality, real-time image synthesis. Developed by Stability AI, SDXL Turbo is a distilled version of the SDXL 1.0 model, specifically trained for real-time synthesis. It excels in generating photorealistic images from text prompts in a single network evaluation, making it ideal for applications demanding speed and efficiency, such as video games, virtual reality, and instant content creation. SDXL Turbo is accessible to both professionals and hobbyists alike, with simple setup requirements and an intuitive interface. It presents unparalleled opportunities for research and development in advanced AI and image synthesis.

Questflow is a decentralized AI agent economy platform that enables users to orchestrate multiple AI agents to gather insights, take action, and earn rewards autonomously. It serves as a co-pilot for work, helping knowledge workers automate repetitive tasks in a private and safety-first approach. The platform offers user-friendly dashboards, visual reports, smart keyword generators, content evaluation, SEO goal setting, automated alerts, actionable SEO tips, and link optimization wizards. Users can dispatch tasks to AI agents in groups and take action on tasks automatically through decentralized multi-agent orchestration. Questflow also facilitates the distribution of economic incentives to creators and guardians of AI agents via a blockchain network, rewarding them for their contributions to the future of work.

Questflow is a decentralized AI agent economy platform that allows users to orchestrate multiple AI agents to gather insights, take action, and earn rewards autonomously. It serves as a co-pilot for work, helping knowledge workers automate repetitive tasks in a private, safety-first approach. The platform offers features such as multi-agent orchestration, user-friendly dashboard, visual reports, smart keyword generator, content evaluation, SEO goal setting, automated alerts, actionable SEO tips, regular SEO goal setting, and link optimization wizard.

The website is a platform that provides comprehensive and unbiased reviews of various AI tools and applications. It aims to help users, especially small businesses, make informed decisions about selecting the right AI tools to enhance productivity and stay ahead of the competition. The site offers detailed comparisons, interviews with AI innovators, expert tips, and insights into the future of artificial intelligence. It also features blog posts on AI-related topics, free resources, and a newsletter for staying updated on the latest AI trends and tools.

Ergodic is an AI tool called Kepler that enables data-driven decisions for businesses. Kepler acts as an AI action engine, bridging the knowledge gap between business context and data to help optimize processes, identify opportunities, and mitigate risks. It goes beyond number crunching to build a digital version of the business, allowing users to create scenarios and evaluate outcomes. Kepler focuses on taking action directly, without the need for complex dashboards, providing insights on what needs to be done, why, and the potential outcomes. Ergodic aims to empower businesses with AI-driven solutions for strategic decision-making.

slAItor is an AI translation assistant powered by GPT technology. It offers advanced translation features and customization options to enhance the translation experience. Users can benefit from step-by-step translations, multiple translation alternatives, and unique translation styles. The tool supports 28 language pairs and combines recent AI advancements with traditional translation techniques to deliver accurate and efficient translations. slAItor also provides post-processing and evaluation steps to ensure translation quality and offers a user-friendly interface for seamless translation management.

Parroview is a revolutionary AI-powered user research platform that automates the process of conducting user interviews. It uses natural language processing (NLP) to engage with users in real-time conversations, asking follow-up questions and uncovering insights that would be difficult to obtain through traditional methods. Parroview is designed to be fully autonomous, allowing researchers to set up interviews and gather insights without the need for manual intervention. It supports multiple languages, making it accessible to a global audience. Parroview offers a range of features, including the ability to conduct interviews via text or voice, analyze insights in real-time, and generate detailed transcripts. It is suitable for a wide range of research needs, including product validation, consumer behavior analysis, post-purchase evaluations, brand perception studies, and customer persona development.

Resume Screening AI is an AI application designed to help recruiters, hiring managers, and HR managers screen resumes in bulk efficiently and accurately. By leveraging AI algorithms, the tool automates the screening process, saving time and improving the quality of hire. It offers benefits such as time and cost savings, improved accuracy, enhanced objectivity, and a better candidate experience. The tool uses end-to-end encryption for data security and stores resume file fingerprints and parsed text for easy retrieval. With a focus on optimizing the recruitment process, Resume Screening AI is a transformative solution for businesses looking to attract and identify the most suitable candidates.

Zentask is an AI tool designed to create articles and images for blogs and businesses in just one click. It offers a platform where professionals can generate unique textual content and visuals quickly and efficiently, saving time and energy. With a focus on diverse AI resources, Zentask helps in composing, investigating, evaluating, and producing visuals for various purposes. The tool is tailored for professionals in different fields, providing a seamless and user-friendly experience to boost productivity and streamline daily tasks.

The Art Review Generator is a natural language processing tool and text generator that analyzes and generates art reviews based on a prompt. It utilizes 57 years of art reviews from Artforum to create medium-length sentences that capture the essence of the training data. The tool focuses on the language used to describe art and culture, encompassing intent, emotion, technique, and impact. While not classified as artificial intelligence, it leverages deep matrices of probability to produce new text. The generator offers insights into the evolution of language in art reviews and can simulate complex constructs of language with poetic loops and glitches.

This website provides a free text-to-speech converter tool that utilizes Microsoft's AI speech library to synthesize realistic-sounding speech from text. It offers customizable voice options, fine-tuned speech controls, and multilingual support with over 330 neural network voices across 129 languages. The tool is accessible on various browsers, including Chrome, Firefox, and Edge, and can be used for a range of applications, such as text readers and voice-enabled assistants.

Text-To-Speech OpenAI is a professional AI voice generator that allows users to convert text into natural-sounding speech. With advanced AI technology, it offers a wide range of voices, languages, and customization options to create realistic and engaging audio content. Whether you need to create voiceovers for videos, podcasts, e-learning courses, or any other project, Text-To-Speech OpenAI provides a powerful and user-friendly solution.

This is a free online tool that converts Text into an image or pdf that appears handwritten. This is the best Text to Handwriting converter available, and the best part is you can also upload your handwriting font file as well. Creating handwritten assignments is super easy with this utility, and you can download your handwritten assignment in pdf or image.

AI Text Prompt Generator is an online tool that utilizes artificial intelligence to generate text prompts for various purposes. Users can input specific parameters and receive creative and engaging text suggestions. The tool is designed to assist writers, content creators, and anyone looking for inspiration in their writing projects. With its user-friendly interface and advanced AI algorithms, the AI Text Prompt Generator aims to streamline the brainstorming process and enhance creativity.

Text to Speech Online is a free AI tool that offers unlimited text-to-speech conversion with over 409 realistic voices and 129 languages & dialects. Users can convert text to speech in seconds without the need to log in or sign up. The tool supports multiple languages and accents, including standard voices and AI voices, and offers flexible pricing models. Users can enjoy a full set of SSML features, create natural-sounding speech, download audio in MP3 or WAV formats, and share results on various platforms. Text to Speech Online is a versatile tool that can be used for various purposes, including providing audio cues for visually impaired users, assisting in education, creating audio versions of books, and developing virtual assistants.

The website offers a free online text summarizer powered by AI, designed to condense lengthy texts efficiently. It caters to professionals, students, and researchers who need to extract key details from documents. The tool utilizes advanced AI algorithms to provide users with essential information quickly, enhancing learning and productivity. Users can easily summarize text by pasting it into the tool, generating clear and concise summaries for research or quick information retrieval. The AI-enhanced tool aims to improve efficiency in processing large volumes of text.

Sound of Text is a free online text-to-speech converter that uses AI technology to convert written text into spoken words. It supports over 840 different voices in more than 135 languages, and allows users to download the resulting audio files in a variety of formats. Sound of Text is easy to use and can be used for a variety of purposes, such as creating audiobooks, podcasts, and presentations.

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.

Awesome-Story-Generation is a repository that curates a comprehensive list of papers related to Story Generation and Storytelling, focusing on the era of Large Language Models (LLMs). The repository includes papers on various topics such as Literature Review, Large Language Model, Plot Development, Better Storytelling, Story Character, Writing Style, Story Planning, Controllable Story, Reasonable Story, and Benchmark. It aims to provide a chronological collection of influential papers in the field, with a focus on citation counts for LLMs-era papers and some earlier influential papers. The repository also encourages contributions and feedback from the community to improve the collection.

This repository focuses on unraveling the sources that large language models tap into for attribution or citation. It delves into the origins of facts, their utilization by the models, the efficacy of attribution methodologies, and challenges tied to ambiguous knowledge reservoirs, biases, and pitfalls of excessive attribution.

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.

This repository contains integrations to extend the capabilities of Haystack version 2.0 and onwards. The code in this repo is maintained by deepset, see each integration's `README` file for details around installation, usage and support.

LLM-jp-eval is a tool designed to automatically evaluate Japanese large language models across multiple datasets. It provides functionalities such as converting existing Japanese evaluation data to text generation task evaluation datasets, executing evaluations of large language models across multiple datasets, and generating instruction data (jaster) in the format of evaluation data prompts. Users can manage the evaluation settings through a config file and use Hydra to load them. The tool supports saving evaluation results and logs using wandb. Users can add new evaluation datasets by following specific steps and guidelines provided in the tool's documentation. It is important to note that using jaster for instruction tuning can lead to artificially high evaluation scores, so caution is advised when interpreting the results.

This repository presents the findings of the paper "Compression Represents Intelligence Linearly". The study reveals a strong linear correlation between the intelligence of LLMs, as measured by benchmark scores, and their ability to compress external text corpora. Compression efficiency, derived from raw text corpora, serves as a reliable evaluation metric that is linearly associated with model capabilities. The repository includes the compression corpora used in the paper, code for computing compression efficiency, and data collection and processing pipelines.

TableLLM is a large language model designed for efficient tabular data manipulation tasks in real office scenarios. It can generate code solutions or direct text answers for tasks like insert, delete, update, query, merge, and chart operations on tables embedded in spreadsheets or documents. The model has been fine-tuned based on CodeLlama-7B and 13B, offering two scales: TableLLM-7B and TableLLM-13B. Evaluation results show its performance on benchmarks like WikiSQL, Spider, and self-created table operation benchmark. Users can use TableLLM for code and text generation tasks on tabular data.

LangFair is a Python library for bias and fairness assessments of large language models (LLMs). It offers a comprehensive framework for choosing bias and fairness metrics, demo notebooks, and a technical playbook. Users can tailor evaluations to their use cases with a Bring Your Own Prompts approach. The focus is on output-based metrics practical for governance audits and real-world testing.

DataChain is an open-source Python library for processing and curating unstructured data at scale. It supports AI-driven data curation using local ML models and LLM APIs, handles large datasets, and is Python-friendly with Pydantic objects. It excels at optimizing batch operations and is designed for offline data processing, curation, and ETL. Typical use cases include Computer Vision data curation, LLM analytics, and validation.

Benchmark various LLM Structured Output frameworks like Instructor, Mirascope, Langchain, LlamaIndex, Fructose, Marvin, Outlines, LMFormatEnforcer, etc on tasks like multi-label classification, named entity recognition, synthetic data generation. The tool provides benchmark results, methodology, instructions to run the benchmark, add new data, and add a new framework. It also includes a roadmap for framework-related tasks, contribution guidelines, citation information, and feedback request.

A collection of papers related to knowledge distillation of large language models (LLMs). The repository focuses on techniques to transfer advanced capabilities from proprietary LLMs to smaller models, compress open-source LLMs, and refine their performance. It covers various aspects of knowledge distillation, including algorithms, skill distillation, verticalization distillation in fields like law, medical & healthcare, finance, science, and miscellaneous domains. The repository provides a comprehensive overview of the research in the area of knowledge distillation of LLMs.

Evidently is an open-source Python library designed for evaluating, testing, and monitoring machine learning (ML) and large language model (LLM) powered systems. It offers a wide range of functionalities, including working with tabular, text data, and embeddings, supporting predictive and generative systems, providing over 100 built-in metrics for data drift detection and LLM evaluation, allowing for custom metrics and tests, enabling both offline evaluations and live monitoring, and offering an open architecture for easy data export and integration with existing tools. Users can utilize Evidently for one-off evaluations using Reports or Test Suites in Python, or opt for real-time monitoring through the Dashboard service.

The LLMEvaluation repository is a comprehensive compendium of evaluation methods for Large Language Models (LLMs) and LLM-based systems. It aims to assist academics and industry professionals in creating effective evaluation suites tailored to their specific needs by reviewing industry practices for assessing LLMs and their applications. The repository covers a wide range of evaluation techniques, benchmarks, and studies related to LLMs, including areas such as embeddings, question answering, multi-turn dialogues, reasoning, multi-lingual tasks, ethical AI, biases, safe AI, code generation, summarization, software performance, agent LLM architectures, long text generation, graph understanding, and various unclassified tasks. It also includes evaluations for LLM systems in conversational systems, copilots, search and recommendation engines, task utility, and verticals like healthcare, law, science, financial, and others. The repository provides a wealth of resources for evaluating and understanding the capabilities of LLMs in different domains.

MarkLLM is an open-source toolkit designed for watermarking technologies within large language models (LLMs). It simplifies access, understanding, and assessment of watermarking technologies, supporting various algorithms, visualization tools, and evaluation modules. The toolkit aids researchers and the community in ensuring the authenticity and origin of machine-generated text.

Awesome-LLM-Eval: a curated list of tools, benchmarks, demos, papers for Large Language Models (like ChatGPT, LLaMA, GLM, Baichuan, etc) Evaluation on Language capabilities, Knowledge, Reasoning, Fairness and Safety.

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

The repository 'Awesome-LLM-Preference-Learning' is the official repository of a survey paper titled 'Towards a Unified View of Preference Learning for Large Language Models: A Survey'. It contains a curated list of papers related to preference learning for Large Language Models (LLMs). The repository covers various aspects of preference learning, including on-policy and off-policy methods, feedback mechanisms, reward models, algorithms, evaluation techniques, and more. The papers included in the repository explore different approaches to aligning LLMs with human preferences, improving mathematical reasoning in LLMs, enhancing code generation, and optimizing language model performance.

Automatically evaluates uploaded lesson plans against educational standards. Upload text or a PDF.

Critical reviewer with a structured response format.

A sentiment analysis tool for evaluating management-related texts.

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.

Interprets creative, cryptic linguistic styles with a focus on survival and evolutionary concepts.

An appraiser for online marketplace items, providing text based on images.

Ultimate AI evolution with limitless potential.

Bilingual English writing evaluator

Search, Browse, Write & Agent. Action & API Offering

AI search engine with summarization.

I am the GPT search engine

Specializes in web searches for chat.openai.com using specific query format.

Your go-to expert for web searches.

I edit articles, improving clarity and respectfulness, maintaining your style.

Convert application descriptions to consumable DB schemas or create-table SQL statements

An editor that refines and enhances your writing.

I will take you for a ride in a custom text-based zombie game with survival, character development, and challenges.

Text your favorite pet, after answering 10 questions about their everyday lives!

Optional: Insert your character sheet and physical description. Or, use the suggested sheet below. // Note: You may have to remind this simulator to generate visuals by inserting "Please include a visual representation" at the end of your command/prompt."

Compares and reports differences in text files