Best AI tools for< Improve Question Answering >

The Chat With PDF AI Tool is an innovative application that allows users to interact with PDF documents using artificial intelligence technology. Users can engage in conversations with the AI tool to extract information, ask questions, and receive instant responses. The tool simplifies the process of working with PDF files by providing a conversational interface, making it user-friendly and efficient. With its advanced AI capabilities, the tool can understand natural language queries and provide accurate results, enhancing productivity and workflow efficiency.

Cuecard is an AI-powered sales co-pilot tool designed to revolutionize the sales process by providing AI-driven knowledge and personalized experiences to help sales teams close deals faster. It offers features such as interactive outreach, efficient research, real-time answers, centralized knowledge access, and improved sales velocity. Cuecard is trusted by leading brands of all sizes and offers a live demo for users to experience its innovative features firsthand.

Alan AI is an advanced conversational AI platform that offers a wide range of AI solutions for various industries. It simplifies tasks, enhances business operations, and empowers sales strategies through AI technology. The platform provides features like question answering, semantic search, reporting, private data sources, and context awareness. With a focus on actionable AI, Alan AI aims to redefine learning and streamline decision-making processes. It offers a comprehensive suite of tools for developers, including technology architecture overview, integration, deployment, and analytics. Alan AI stands out for its innovative approach to AI reasoning, transparency, and control, making it a valuable asset for organizations seeking to leverage AI capabilities.

Infinipilot.AI is an AI co-pilot application designed for macOS users to enhance productivity and streamline various tasks. It offers features such as autocomplete, style and grammar fixes, translation, developer utilities, and AI-driven question answering. The application prioritizes privacy by using local language models and provides accessibility features like text-to-speech and speech-to-text functionalities. Infinipilot.AI integrates with various AI models like OpenAI and Claude, ensuring efficient performance and continuous updates. The application also offers discounts for students and non-profit organizations, along with a 14-day money-back guarantee.

Prompt Engineering is a discipline focused on developing and optimizing prompts to efficiently utilize language models (LMs) for various applications and research topics. It involves skills to understand the capabilities and limitations of large language models, improving their performance on tasks like question answering and arithmetic reasoning. Prompt engineering is essential for designing robust prompting techniques that interact with LLMs and other tools, enhancing safety and building new capabilities by augmenting LLMs with domain knowledge and external tools.

Suki Assistant is an enterprise-grade AI assistant designed to help clinicians save time and focus on patient care. It offers ambient documentation, dictation, ICD-10 and HCC coding, and question answering in one solution. Suki has deep integrations with major EHR systems, ensuring seamless data flow and clinician-reviewed content. The AI is designed to minimize risks of bias and hallucinations, with SOC2 Type 2 and HIPAA compliance. Suki serves large health systems, providing hassle-free partnerships and proven ROI within a short period. It offers advanced EHR integrations, bidirectional capabilities, and ultimate convenience for clinicians.

NuShift Inc is an AI-powered application that offers ELMR-T, a cutting-edge solution for converting data into actionable knowledge in the maintenance and engineering domain. Leveraging machine learning, machine translation, speech recognition, question answering, and information extraction, ELMR-T provides intelligent AI insights to empower maintenance teams. The application is designed to streamline data-driven decision-making, enhance user interaction, and boost efficiency by delivering precise and meaningful results effortlessly.

FindWise is a personal web assistant that allows users to ask questions about anything on the web, including websites, online shops, and documents. It is a browser extension that works on Chromium-based browsers like Chrome, Brave, Microsoft Edge, and Opera. With FindWise, users can easily find information and get answers to their queries while browsing the internet.

LoopCV is a job search automation platform that helps job seekers find jobs faster and more efficiently. It offers a range of features to help users automate their job search, including auto apply, one-click apply, dynamic emails, CV improvements, and job matching. LoopCV also provides users with access to a database of over 3,000 jobs and allows them to track their progress and measure their results.

GenForge is an AI-powered tool that helps you understand and summarize documents quickly and easily. With GenForge, you can: - Get a summary of any document in seconds - Ask deep-dive questions about the details of a document - Get AI support and image generation on-the-go GenForge is the perfect tool for anyone who wants to save time and improve their productivity.

Bard PDF is an AI-powered tool that allows users to interact with PDF documents through natural language conversation. It can summarize documents, answer questions, and extract key information. Bard PDF is designed to help researchers, students, and professionals save time and improve their productivity.

BugFree.ai is an AI-powered platform designed to help users practice system design and behavior interviews, similar to Leetcode. The platform offers a range of features to assist users in preparing for technical interviews, including mock interviews, real-time feedback, and personalized study plans. With BugFree.ai, users can improve their problem-solving skills and gain confidence in tackling complex interview questions.

Shadowing AI is an interview practice platform that provides users with continuous feedback. It is designed to help individuals improve their interview skills by simulating real interview scenarios and offering personalized feedback. By using this platform, users can practice answering common interview questions, receive feedback on their responses, and enhance their overall interview performance. Shadowing AI aims to boost users' confidence and readiness for job interviews through its interactive and user-friendly interface.

Interviews Chat is an AI-powered interview preparation tool that offers real-time suggestions, personalized question preparation, and in-depth feedback to help users ace their interviews. The tool includes a Copilot feature with vision capability for coding challenges and whiteboard tasks. Users can practice answering questions via a video interface, receive tailored interview questions based on their resume and job description, and get instant feedback on their responses. Interviews Chat aims to provide a realistic practice environment to improve interview performance and make a lasting impression.

GPT-4 is a large language model that can be used for a variety of tasks, including text generation, translation, question answering, and code generation. It is one of the most powerful language models available, and it is constantly being improved. GPT-4 is used by a variety of businesses and organizations, including Google, Microsoft, and OpenAI. It is also used by researchers to develop new AI applications.

Truffle is an AI-powered application designed to help teams retain knowledge built up in Slack by automatically answering questions and generating documentation. By utilizing cutting-edge AI technology, Truffle summarizes important conversations and makes them easily searchable, reducing the time spent on repetitive questions. The application offers a simple pricing model and can be added to a single Slack channel for free, with the option to upgrade for unlimited channels. Truffle is suitable for various teams, including HR, IT-support, and product teams, aiming to shift the focus back to core tasks and improve knowledge sharing within the organization.

Deflekt.ai is an AI-powered application designed to automate replies on all support channels. It helps businesses deflect customer and coworker support tickets by answering questions automatically. The tool can be integrated with various channels like web chat, email, Slack, and Teams, making it a versatile solution for support teams. Deflekt.ai allows users to customize content, localize responses, and provide human support when needed. With features like document hosting, channel activation, and conversation monitoring, Deflekt.ai streamlines support processes and reduces workload.

Ask Steve is a productivity tool that seamlessly integrates Gemini & ChatGPT into your work to help you do your job better and faster. It assists knowledge workers in writing more effectively, crafting personalized messages for outreach, providing instant help where you are working, answering questions from web pages, and customizing skills to enhance productivity. The tool is designed to streamline various tasks and improve efficiency in sales, support, recruiting, and more.

VanChat is an AI shopping assistant designed to boost Shopify sales by accurately answering customer questions, understanding buyer intent, personalizing interactions, suggesting products, and ultimately increasing sales. It automates tasks like order checking and updating, offers personalized product recommendations, and proactively engages customers to drive purchases. VanChat continuously learns from store data in real-time to provide accurate responses and tailored suggestions. The platform aims to enhance user satisfaction, improve customer service, and increase revenue for online businesses.

This application is an AI-powered developer relations agent that can automate and consolidate manual developer support. It can automate onboarding and support for developers, and provide insights to improve documentation. The application is trained on technical developer documentation to automate repetitive questions, leading to cost savings, reduced response waiting time, and increased automation of support requests.

Rageval is an evaluation tool for Retrieval-augmented Generation (RAG) methods. It helps evaluate RAG systems by performing tasks such as query rewriting, document ranking, information compression, evidence verification, answer generation, and result validation. The tool provides metrics for answer correctness and answer groundedness, along with benchmark results for ASQA and ALCE datasets. Users can install and use Rageval to assess the performance of RAG models in question-answering tasks.

This repository is dedicated to collecting and categorizing papers related to Retrieval-Augmented Generation (RAG) for AI-generated content. It serves as a survey repository based on the paper 'Retrieval-Augmented Generation for AI-Generated Content: A Survey'. The repository is continuously updated to keep up with the rapid growth in the field of RAG.

LLM-Tuning is a collection of tools and resources for fine-tuning large language models (LLMs). It includes a library of pre-trained LoRA models, a set of tutorials and examples, and a community forum for discussion and support. LLM-Tuning makes it easy to fine-tune LLMs for a variety of tasks, including text classification, question answering, and dialogue generation. With LLM-Tuning, you can quickly and easily improve the performance of your LLMs on downstream tasks.

Chinese-LLaMA-Alpaca-2 is a large Chinese language model developed by Meta AI. It is based on the Llama-2 model and has been further trained on a large dataset of Chinese text. Chinese-LLaMA-Alpaca-2 can be used for a variety of natural language processing tasks, including text generation, question answering, and machine translation. Here are some of the key features of Chinese-LLaMA-Alpaca-2: * It is the largest Chinese language model ever trained, with 13 billion parameters. * It is trained on a massive dataset of Chinese text, including books, news articles, and social media posts. * It can be used for a variety of natural language processing tasks, including text generation, question answering, and machine translation. * It is open-source and available for anyone to use. Chinese-LLaMA-Alpaca-2 is a powerful tool that can be used to improve the performance of a wide range of natural language processing tasks. It is a valuable resource for researchers and developers working in the field of artificial intelligence.

GraphRAG Local Ollama is a repository that offers an adaptation of Microsoft's GraphRAG, customized to support local models downloaded using Ollama. It enables users to leverage local models with Ollama for large language models (LLMs) and embeddings, eliminating the need for costly OpenAPI models. The repository provides a simple setup process and allows users to perform question answering over private text corpora by building a graph-based text index and generating community summaries for closely-related entities. GraphRAG Local Ollama aims to improve the comprehensiveness and diversity of generated answers for global sensemaking questions over datasets.

GPT Academic is a powerful tool that leverages the capabilities of large language models (LLMs) to enhance academic research and writing. It provides a user-friendly interface that allows researchers, students, and professionals to interact with LLMs and utilize their abilities for various academic tasks. With GPT Academic, users can access a wide range of features and functionalities, including: * **Summarization and Paraphrasing:** GPT Academic can summarize complex texts, articles, and research papers into concise and informative summaries. It can also paraphrase text to improve clarity and readability. * **Question Answering:** Users can ask GPT Academic questions related to their research or studies, and the tool will provide comprehensive and well-informed answers based on its knowledge and understanding of the relevant literature. * **Code Generation and Explanation:** GPT Academic can generate code snippets and provide explanations for complex coding concepts. It can also help debug code and suggest improvements. * **Translation:** GPT Academic supports translation of text between multiple languages, making it a valuable tool for researchers working with international collaborations or accessing resources in different languages. * **Citation and Reference Management:** GPT Academic can help users manage their citations and references by automatically generating citations in various formats and providing suggestions for relevant references based on the user's research topic. * **Collaboration and Note-Taking:** GPT Academic allows users to collaborate on projects and take notes within the tool. They can share their work with others and access a shared workspace for real-time collaboration. * **Customizable Interface:** GPT Academic offers a customizable interface that allows users to tailor the tool to their specific needs and preferences. They can choose from a variety of themes, adjust the layout, and add or remove features to create a personalized workspace. Overall, GPT Academic is a versatile and powerful tool that can significantly enhance the productivity and efficiency of academic research and writing. It empowers users to leverage the capabilities of LLMs and unlock new possibilities for academic exploration and knowledge creation.

Wandbot is a question-answering bot designed for Weights & Biases documentation. It employs Retrieval Augmented Generation with a ChromaDB backend for efficient responses. The bot features periodic data ingestion, integration with Discord and Slack, and performance monitoring through logging. It has a fallback mechanism for model selection and is evaluated based on retrieval accuracy and model-generated responses. The implementation includes creating document embeddings, constructing the Q&A RAGPipeline, model selection, deployment on FastAPI, Discord, and Slack, logging and analysis with Weights & Biases Tables, and performance evaluation.

RLAMA is a powerful AI-driven question-answering tool that seamlessly integrates with local Ollama models. It enables users to create, manage, and interact with Retrieval-Augmented Generation (RAG) systems tailored to their documentation needs. RLAMA follows a clean architecture pattern with clear separation of concerns, focusing on lightweight and portable RAG capabilities with minimal dependencies. The tool processes documents, generates embeddings, stores RAG systems locally, and provides contextually-informed responses to user queries. Supported document formats include text, code, and various document types, with troubleshooting steps available for common issues like Ollama accessibility, text extraction problems, and relevance of answers.

Haystack is an end-to-end LLM framework that allows you to build applications powered by LLMs, Transformer models, vector search and more. Whether you want to perform retrieval-augmented generation (RAG), document search, question answering or answer generation, Haystack can orchestrate state-of-the-art embedding models and LLMs into pipelines to build end-to-end NLP applications and solve your use case.

RAGFlow is an open-source Retrieval-Augmented Generation (RAG) engine that combines deep document understanding with Large Language Models (LLMs) to provide accurate question-answering capabilities. It offers a streamlined RAG workflow for businesses of all sizes, enabling them to extract knowledge from unstructured data in various formats, including Word documents, slides, Excel files, images, and more. RAGFlow's key features include deep document understanding, template-based chunking, grounded citations with reduced hallucinations, compatibility with heterogeneous data sources, and an automated and effortless RAG workflow. It supports multiple recall paired with fused re-ranking, configurable LLMs and embedding models, and intuitive APIs for seamless integration with business applications.

RankLLM is a suite of prompt-decoders compatible with open source LLMs like Vicuna and Zephyr. It allows users to create custom ranking models for various NLP tasks, such as document reranking, question answering, and summarization. The tool offers a variety of features, including the ability to fine-tune models on custom datasets, use different retrieval methods, and control the context size and variable passages. RankLLM is easy to use and can be integrated into existing NLP pipelines.

DB-GPT-Hub is an experimental project leveraging Large Language Models (LLMs) for Text-to-SQL parsing. It includes stages like data collection, preprocessing, model selection, construction, and fine-tuning of model weights. The project aims to enhance Text-to-SQL capabilities, reduce model training costs, and enable developers to contribute to improving Text-to-SQL accuracy. The ultimate goal is to achieve automated question-answering based on databases, allowing users to execute complex database queries using natural language descriptions. The project has successfully integrated multiple large models and established a comprehensive workflow for data processing, SFT model training, prediction output, and evaluation.

The GFM-RAG is a graph foundation model-powered pipeline that combines graph neural networks to reason over knowledge graphs and retrieve relevant documents for question answering. It features a knowledge graph index, efficiency in multi-hop reasoning, generalizability to unseen datasets, transferability for fine-tuning, compatibility with agent-based frameworks, and interpretability of reasoning paths. The tool can be used for conducting retrieval and question answering tasks using pre-trained models or fine-tuning on custom datasets.

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**

Apollo is a multilingual medical LLM that covers English, Chinese, French, Hindi, Spanish, Hindi, and Arabic. It is designed to democratize medical AI to 6B people. Apollo has achieved state-of-the-art results on a variety of medical NLP tasks, including question answering, medical dialogue generation, and medical text classification. Apollo is easy to use and can be integrated into a variety of applications, making it a valuable tool for healthcare professionals and researchers.

AmigaGPT is a versatile ChatGPT client for AmigaOS 3.x, 4.1, and MorphOS. It brings the capabilities of OpenAI’s GPT to Amiga systems, enabling text generation, question answering, and creative exploration. AmigaGPT can generate images using DALL-E, supports speech output, and seamlessly integrates with AmigaOS. Users can customize the UI, choose fonts and colors, and enjoy a native user experience. The tool requires specific system requirements and offers features like state-of-the-art language models, AI image generation, speech capability, and UI customization.

Superagent is an open-source AI assistant framework and API that allows developers to add powerful AI assistants to their applications. These assistants use large language models (LLMs), retrieval augmented generation (RAG), and generative AI to help users with a variety of tasks, including question answering, chatbot development, content generation, data aggregation, and workflow automation. Superagent is backed by Y Combinator and is part of YC W24.

DeepPavlov is an open-source conversational AI library built on PyTorch. It is designed for the development of production-ready chatbots and complex conversational systems, as well as for research in the area of NLP and dialog systems. The library offers a wide range of models for tasks such as Named Entity Recognition, Intent/Sentence Classification, Question Answering, Sentence Similarity/Ranking, Syntactic Parsing, and more. DeepPavlov also provides embeddings like BERT, ELMo, and FastText for various languages, along with AutoML capabilities and integrations with REST API, Socket API, and Amazon AWS.

SambaNova AI Starter Kits is a collection of open-source examples and guides designed to facilitate the deployment of AI-driven use cases for developers and enterprises. The kits cover various categories such as Data Ingestion & Preparation, Model Development & Optimization, Intelligent Information Retrieval, and Advanced AI Capabilities. Users can obtain a free API key using SambaNova Cloud or deploy models using SambaStudio. Most examples are written in Python but can be applied to any programming language. The kits provide resources for tasks like text extraction, fine-tuning embeddings, prompt engineering, question-answering, image search, post-call analysis, and more.

Generative AI with LangChain is a code repository for building large language model (LLM) apps with Python, ChatGPT, and other LLMs. The repository provides code examples, instructions, and configurations for creating generative AI applications using the LangChain framework. It covers topics such as setting up the development environment, installing dependencies with Conda or Pip, using Docker for environment setup, and setting API keys securely. The repository also emphasizes stability, code updates, and user engagement through issue reporting and feedback. It aims to empower users to leverage generative AI technologies for tasks like building chatbots, question-answering systems, software development aids, and data analysis applications.

[Beta] Bibliotecaria especializada en la preparación de oposiciones a bibliotecas

Dynamic quiz game with a wide range of topics, +3 points for correct answers, -2 for incorrect. 5-minute limit.

Analyzes questions and answers in Mandarin with visual aids

I'm like a test taker, answering questions across various subjects.

A medical residency interview coach providing questions and feedback.

I provide Manual QA interview prep and conduct mock interviews.

Primary School Question-Making Assistant（小学出题助手）

Grammar Question by the Passage

A question game bot for romantic exploration, strictly question-focused.

An AI that answers any question you have about Andrew Huberman's recommended daily routine.

I craft polite declines to 'quick question' emails.

To get started, please type "menu" and select an option from the menu by typing the corresponding keyword or number. If at any time you need assistance or wish to ask a question, just type "help" for more options.

Dialogue-based guessing game. He is hidden somewhere in 100 cities around the world. Question him with yes or no questions and find out where he is hiding!

Hi, I'm your go-to guide for everything hiking. From beginner tips to advanced techniques, gear advice, and Leave No Trace principles, I'm here to help elevate your hiking experience. Ask me a question!

A critical thinker for analyzing questions and improving answers

TOEIC Part 5の日本語説明付きの問題を無限に提供

Provides a comprehensive list of brainstormed questions.

Genereert NASK-vragen en antwoorden, kant-en-klaar voor gebruik.

这个工具可以帮你从浅入深的掌握一个深奥的知识领域的内容，他可以循序渐进的设计由浅到深的问题让你来回答，等你回答了之后，我可以判断你的知识层次到什么程度，然后再给你提出对应的解释一个详细理论的方案。

Günlük soruları çöz ve rekabete katıl. Kendi soru-cevap setini oluştur, oyuncuların oluşturduğu eğlenceli soruları çöz.