Best AI tools for< Construct Question Set >

AnySolve is an AI-powered platform that offers a wide range of tools to automate tasks and save time. Users can access tools like AI Chat, Write Like Anyone, Wikipedia Article Creation, Create Credit Contract, Answer Exam Question, and more. AnySolve allows users to create and share their own AI tools, discover existing tools, and integrate various AI capabilities into their workflows. The platform provides a user-friendly interface and supports multiple output formats, making it a versatile solution for professionals across different industries.

AskLegal.bot is a free AI-powered legal assistant that provides instant answers to your legal questions. With our proprietary AI technology, we synthesize information from thousands of sources to offer tailored guidance that aligns with current laws and regulations. Our self-service document review tool helps you understand various legal documents, including rental agreements, employment contracts, service agreements, insurance policies, and more. AskLegal.bot is confidential and secure, ensuring the privacy of your discussions with top-tier data security and privacy measures.

Evisort is an AI-powered contract management software that simplifies contract management at every stage. It offers a complete, AI-native platform for end-to-end contract lifecycle management, including the first large language model built specifically for contracts. Evisort's AI capabilities enable users to ask questions about their contracts in simple, natural language and get clear, reasoned answers. It can also track terms of interest across all contracts and related documents, and generate data points that matter for sales, procurement, risk, and finance teams. Additionally, Evisort's AI-powered workflows automate tasks such as redlining, clause generation, and contract approvals, saving time and reducing risk.

Maigon is a state-of-the-art AI application designed for contract review. It offers efficiency in closing deals fast by providing AI-driven contract review tools that screen agreements, answer legal questions, and offer guidance for finalizing contracts in record time. Maigon integrates the latest deep learning technology and supports various contract types based on customer demand. The platform also announces the integration of OpenAI's GPT-4 for enhanced compliance review experience.

Leena AI is a Gen AI employee assistant that reduces IT, HR, Finance tickets. It guarantees a 70% self-service ratio in the contract. Leena AI centralizes knowledge that is scattered across the enterprise, making information easy to find right on chat with a simple query. The knowledge is auto-updated when changes are made, so your employees always get support that is both relevant and accurate. Leena AI integrates with all knowledge base systems within your enterprise from day one, eliminating the need for any consolidation or migration effort across the knowledge base systems. The work assistant tailors responses to employee queries based on their role, team and access level which boosts employee experience while adhering to security protocols and preventing unauthorized access to information. Leena AI analyzes historically closed tickets and learns from their resolutions to create knowledge articles that can prevent similar tickets from being raised again. Leena AI breaks down large policy documents and knowledge articles into consumable snippets so the responses are sharper and more specific to the employee’s query.

LegalOn Technologies is a global leader in AI contract review software, providing a platform that enables users to negotiate stronger contracts up to 85% faster. The application offers pre-built and custom AI playbooks, built by experienced attorneys, to ensure high-quality contract reviews. LegalOn's AI is anchored in attorney-written content and rigorously tested, providing accurate and up-to-date legal knowledge for reliable results. The platform is SOC 2 Type II certified, GDPR, and CCPA compliant, prioritizing security and privacy for user data.

ClearAI is an AI-powered platform that offers instant extraction of insights, effortless document navigation, and natural language interaction. It enables users to upload PDFs securely, ask questions, and receive accurate responses in seconds. With features like structured results, intelligent search, and lifetime access offers, ClearAI simplifies tasks such as analyzing company reports, risk assessment, audit support, contract review, legal research, and due diligence. The platform is designed to streamline document analysis and provide relevant data efficiently.

GOODY-2 is the world's most responsible AI model, built with next-gen adherence to ethical principles. It's so safe that it won't answer anything that could be possibly construed as controversial or problematic. GOODY-2 can recognize any query that could be controversial, offensive, or dangerous in any context and elegantly avoids answering, redirecting the conversation, and mitigating brand risk. GOODY-2's ethical adherence is unbreakable, ensuring that every conversation stays within the bounds of ethical principles. Even bad actors will find themselves unable to cause GOODY-2 to answer problematic queries. GOODY-2 is the perfect fit for customer service, paralegal assistance, back-office tasks, and more. It's the safe, dependable AI model companies around the globe have been waiting for.

Lesseffort is a web-based application that provides a user-friendly interface for interacting with ChatGPT. It offers various features to enhance the user experience, including customization options, pre-constructed prompts, and the ability to save and share conversations. Lesseffort is designed to make it easier for users to access and utilize the capabilities of ChatGPT for a variety of tasks, such as generating text, answering questions, and engaging in conversations.

Sharly AI is a revolutionary tool that utilizes advanced AI technology to transform complex documents and PDFs into easily digestible summaries and facilitate interactive chat-based interactions. It empowers users to engage in natural language conversations with their documents, ask questions, and retrieve specific information effortlessly. Sharly AI's capabilities extend to various domains, including research, legal analysis, project management, and content summarization, offering tailored solutions for professionals in each field. By leveraging the power of AI, Sharly AI streamlines workflows, enhances productivity, and unlocks deeper insights from vast amounts of information.

NovelAI is an AI-powered storytelling platform that offers a monthly subscription service for AI-assisted image generation and storytelling. Users can create unique stories, illustrate thrilling tales, and write seductive romances with the help of AI technology. The platform provides a creative sandbox for imagination without censorship or guidelines, allowing users to freely express their creativity. NovelAI features advanced image generation, customizable editor, AI output control, secure writing storage, memory expansion, and module-powered tools to enhance storytelling. Users can engage in text adventures, push writing limits with enhanced detail, and give personalized instructions to guide their stories.

Lumina is a research tool that uses artificial intelligence to help researchers find and analyze information more quickly and easily. It can be used to search for articles, books, and other resources, and it can also be used to analyze data and create visualizations. Lumina is designed to make research more efficient and productive.

Nichely is an AI-powered SEO tool that helps users dominate their niche by utilizing cutting-edge AI technology to navigate and correlate millions of topics in various niches. It assists in building detailed topical maps, constructing comprehensive topic clusters, and discovering untapped content opportunities. With features like topic discovery, topic research, and keyword research, Nichely empowers users to find relevant long-tail keywords, analyze SERPs, and enhance their topical authority. The tool is suitable for content/niche website owners, entrepreneurs, bloggers, and individuals looking to improve their SEO strategies and content creation.

TestFit is a real estate feasibility platform that uses AI to help developers, architects, contractors, and brokers evaluate deals and make better decisions. It provides real-time insights into design, cost, and constructability, and integrates with a variety of other software tools. TestFit can help users save time and money, and make more informed decisions about their real estate projects.

Animant is an interactive AR tool that allows users to create engaging 3D scenes, conduct 3D scanning, and capture rooms. It leverages AI to enable users to build interactive 3D scenes using natural language, without the need for 3D animation knowledge. Animant is designed for AR experiences, enabling users to visualize 3D models in their real-world environment. The tool offers features like Object Capture, Room Capture, SharePlay for collaboration, and innovative 3D path construction. It prioritizes user privacy by not collecting personally identifiable information and supports offline rendering for creative flexibility.

Siml.ai is a software platform designed for fast AI-driven physics simulations. It combines state-of-the-art machine learning with physics simulation to provide interactive visualization. The platform allows users to work with high-performance AI-based numerical simulators without the need for installation, offering painless scalability and one-click access to high-performance computing resources. Siml.ai aims to democratize scientific-grade simulation tools by simplifying the development and deployment of physics-based simulations for engineers and researchers.

No Code Camp is an AI tool that offers a live, 5-week cohort-based course to turn strategy and operations people into automation experts with AI and No Code. The platform enables non-technical individuals to build applications, automate workflows, and develop web platforms using graphical interfaces, AI, and tool configuration instead of writing code. No Code Camp democratizes software development, making it accessible to a broader audience, speeding up the development process, and reducing the reliance on specialized software development skills. The course covers essential topics such as Data Architecture, Interface Design, AI Scaling, and No Code Automation, equipping participants with the skills needed to automate business processes and build internal tools.

LangChain is an AI tool that offers a suite of products supporting developers in the LLM application lifecycle. It provides a framework to construct LLM-powered apps easily, visibility into app performance, and a turnkey solution for serving APIs. LangChain enables developers to build context-aware, reasoning applications and future-proof their applications by incorporating vendor optionality. LangSmith, a part of LangChain, helps teams improve accuracy and performance, iterate faster, and ship new AI features efficiently. The tool is designed to drive operational efficiency, increase discovery & personalization, and deliver premium products that generate revenue.

Magic AI Avatars is an AI-powered tool that allows users to create custom profile pictures using artificial intelligence. The app analyzes uploaded photos, recognizes facial features and expressions, and then uses a deep learning algorithm to construct a realistic digital photo that closely resembles the person in the picture. Magic AI Avatars is free to use and offers a variety of different themes and styles to choose from. The app is also committed to maintaining user privacy and data security.

WebsiteColorsAI is an AI tool that effortlessly captures colors from any website by analyzing the HTML and CSS files to identify all HEX color codes. Users can construct and evaluate diverse color schemes and palettes, transforming the aesthetic of their websites. The tool provides an easy and time-saving way to explore and use colors for design projects.

This is the official repository for the ACM CCS 2024 paper 'Do Anything Now': Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models. The project employs a new framework called JailbreakHub to conduct the first measurement study on jailbreak prompts in the wild, collecting 15,140 prompts from December 2022 to December 2023, including 1,405 jailbreak prompts. The dataset serves as the largest collection of in-the-wild jailbreak prompts. The repository contains examples of harmful language and is intended for research purposes only.

ReST-MCTS is a reinforced self-training approach that integrates process reward guidance with tree search MCTS to collect higher-quality reasoning traces and per-step value for training policy and reward models. It eliminates the need for manual per-step annotation by estimating the probability of steps leading to correct answers. The inferred rewards refine the process reward model and aid in selecting high-quality traces for policy model self-training.

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.

Do-Not-Answer is an open-source dataset curated to evaluate Large Language Models' safety mechanisms at a low cost. It consists of prompts to which responsible language models do not answer. The dataset includes human annotations and model-based evaluation using a fine-tuned BERT-like evaluator. The dataset covers 61 specific harms and collects 939 instructions across five risk areas and 12 harm types. Response assessment is done for six models, categorizing responses into harmfulness and action categories. Both human and automatic evaluations show the safety of models across different risk areas. The dataset also includes a Chinese version with 1,014 questions for evaluating Chinese LLMs' risk perception and sensitivity to specific words and phrases.

PaperQA is a minimal package for question and answering from PDFs or text files, providing very good answers with in-text citations. It uses OpenAI Embeddings to embed and search documents, and includes a process of embedding docs, queries, searching for top passages, creating summaries, using an LLM to re-score and select relevant summaries, putting summaries into prompt, and generating answers. The tool can be used to answer specific questions related to scientific research by leveraging citations and relevant passages from documents.

LangChain.dart is a Dart port of the popular LangChain Python framework created by Harrison Chase. LangChain provides a set of ready-to-use components for working with language models and a standard interface for chaining them together to formulate more advanced use cases (e.g. chatbots, Q&A with RAG, agents, summarization, extraction, etc.). The components can be grouped into a few core modules: * **Model I/O:** LangChain offers a unified API for interacting with various LLM providers (e.g. OpenAI, Google, Mistral, Ollama, etc.), allowing developers to switch between them with ease. Additionally, it provides tools for managing model inputs (prompt templates and example selectors) and parsing the resulting model outputs (output parsers). * **Retrieval:** assists in loading user data (via document loaders), transforming it (with text splitters), extracting its meaning (using embedding models), storing (in vector stores) and retrieving it (through retrievers) so that it can be used to ground the model's responses (i.e. Retrieval-Augmented Generation or RAG). * **Agents:** "bots" that leverage LLMs to make informed decisions about which available tools (such as web search, calculators, database lookup, etc.) to use to accomplish the designated task. The different components can be composed together using the LangChain Expression Language (LCEL).

TempCompass is a benchmark designed to evaluate the temporal perception ability of Video LLMs. It encompasses a diverse set of temporal aspects and task formats to comprehensively assess the capability of Video LLMs in understanding videos. The benchmark includes conflicting videos to prevent models from relying on single-frame bias and language priors. Users can clone the repository, install required packages, prepare data, run inference using examples like Video-LLaVA and Gemini, and evaluate the performance of their models across different tasks such as Multi-Choice QA, Yes/No QA, Caption Matching, and Caption Generation.

doc2plan is a browser-based application that helps users create personalized learning plans by extracting content from documents. It features a Creator for manual or AI-assisted plan construction and a Viewer for interactive plan navigation. Users can extract chapters, key topics, generate quizzes, and track progress. The application includes AI-driven content extraction, quiz generation, progress tracking, plan import/export, assistant management, customizable settings, viewer chat with text-to-speech and speech-to-text support, and integration with various Retrieval-Augmented Generation (RAG) models. It aims to simplify the creation of comprehensive learning modules tailored to individual needs.

LLMWare is a framework for quickly developing LLM-based applications including Retrieval Augmented Generation (RAG) and Multi-Step Orchestration of Agent Workflows. This project provides a comprehensive set of tools that anyone can use - from a beginner to the most sophisticated AI developer - to rapidly build industrial-grade, knowledge-based enterprise LLM applications. Our specific focus is on making it easy to integrate open source small specialized models and connecting enterprise knowledge safely and securely.

Neurite is an innovative project that combines chaos theory and graph theory to create a digital interface that explores hidden patterns and connections for creative thinking. It offers a unique workspace blending fractals with mind mapping techniques, allowing users to navigate the Mandelbrot set in real-time. Nodes in Neurite represent various content types like text, images, videos, code, and AI agents, enabling users to create personalized microcosms of thoughts and inspirations. The tool supports synchronized knowledge management through bi-directional synchronization between mind-mapping and text-based hyperlinking. Neurite also features FractalGPT for modular conversation with AI, local AI capabilities for multi-agent chat networks, and a Neural API for executing code and sequencing animations. The project is actively developed with plans for deeper fractal zoom, advanced control over node placement, and experimental features.

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**

The Octopus-v4 project aims to build the world's largest graph of language models, integrating specialized models and training Octopus models to connect nodes efficiently. The project focuses on identifying, training, and connecting specialized models. The repository includes scripts for running the Octopus v4 model, methods for managing the graph, training code for specialized models, and inference code. Environment setup instructions are provided for Linux with NVIDIA GPU. The Octopus v4 model helps users find suitable models for tasks and reformats queries for effective processing. The project leverages Language Large Models for various domains and provides benchmark results. Users are encouraged to train and add specialized models following recommended procedures.

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.

The NaLLM project repository explores the synergies between Neo4j and Large Language Models (LLMs) through three primary use cases: Natural Language Interface to a Knowledge Graph, Creating a Knowledge Graph from Unstructured Data, and Generating a Report using static and LLM data. The repository contains backend and frontend code organized for easy navigation. It includes blog posts, a demo database, instructions for running demos, and guidelines for contributing. The project aims to showcase the potential of Neo4j and LLMs in various applications.

This repository contains a hand-curated list of great machine (deep) learning resources for Natural Language Processing (NLP) with a focus on Generative Pre-trained Transformer (GPT), Bidirectional Encoder Representations from Transformers (BERT), attention mechanism, Transformer architectures/networks, Chatbot, and transfer learning in NLP.

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.

MathEval is a benchmark designed for evaluating the mathematical capabilities of large models. It includes over 20 evaluation datasets covering various mathematical domains with more than 30,000 math problems. The goal is to assess the performance of large models across different difficulty levels and mathematical subfields. MathEval serves as a reliable reference for comparing mathematical abilities among large models and offers guidance on enhancing their mathematical capabilities in the future.

The 'llms' repository is a comprehensive guide on Large Language Models (LLMs), covering topics such as language modeling, applications of LLMs, statistical language modeling, neural language models, conditional language models, evaluation methods, transformer-based language models, practical LLMs like GPT and BERT, prompt engineering, fine-tuning LLMs, retrieval augmented generation, AI agents, and LLMs for computer vision. The repository provides detailed explanations, examples, and tools for working with LLMs.

Your personal Ethereum magician — Simply ask a question or provide a code sample for insights into vulnerabilities, gas optimizations, and best practices. Don't be shy to ask about tooling and legendary attacks.

Answers any Ethereum spec related question

This GPT is aware of the Ethereum specs and can help answer technical questions around Ethereum.

A no judgment zone for asking questions about staying safe on the blockchain.

Ik ben Pieter Omtzigt, klaar om vragen te beantwoorden over het verkiezingsprogramma van Nieuw Sociaal Contract.

Personal legal advisor, fluent in German and Chinese, for contract review and explanation

A copilot for Procurement, aiding in crafting Statements of Work for RfI/RfP.

Assists with drafting, clarifying, and reviewing legal documents.

CodeCommerceGPT Maroc est un assistant intelligent spécialisé, conçu pour fournir des réponses détaillées et précises basées sur le Code de Commerce marocain. À noter : ce chatbot est destiné à informer et non à prendre des décisions juridiques.

General legal inquiries and clarifications.

Expert in crafting archetypal personas with a philosophical touch

Leading advisor in sustainable building materials and eco-efficiency, powered by OpenAI

Hello! Welcome to the realm of the planeswalkers. I am here to help you construct an MTG deck to suit your every need! Just let me know what colors or types of decks you'd like to build, and I will do my best to help you on the journey!

This GPT will take a user's data and use it to construct a fake TV scene. Start by providing it with your character's Patient Profile, Diagnostic Findings, and Lab Data

Constructs and iteratively improves DryMerge YAML workflows.

A debate partner assisting in argument construction and analysis.

Create soccer stadiums variations

Formal academic logic analysis.

Te ajudo a construir seu pedido de prompt

Stephen Toulmin’s Theory of Argumentation. FIRST TIME? Start with "Good morning!" PRIMEIRA VEZ? Comece com um "Bom dia!"