Best AI tools for< Answer Faqs >

Wallu is an AI-powered chatbot designed to automate customer support on Discord servers. It can answer frequently asked questions (FAQs) and provide support like a 24/7 staff member. Wallu can understand FAQs and documents in multiple languages and also answer users in their native language. It is controlled by an admin panel that allows for fine-tuned control of what channels it operates in, documents to be used in answers, and FAQs to source information from. Wallu is easy to use and can be added to any Discord server with just a few clicks.

ResolveAI is a platform that allows users to create and train AI agents for customer service. These agents can be used to automate tasks such as answering FAQs, scheduling meetings, and collecting leads. ResolveAI's agents are trained using a variety of sources, including documents, website pages, and live data sources. Once trained, agents can be customized to fit the user's brand and integrated with a variety of platforms, including websites, social media, and messaging apps.

Chatfuel Lite is a user-friendly platform that allows businesses to create chatbots for their websites and social media platforms. These chatbots can be used to automate customer service, answer FAQs, and generate leads. Chatfuel Lite is powered by artificial intelligence, which enables its chatbots to understand natural language and respond in a human-like manner. The platform is easy to use, even for those with no coding experience. Chatfuel Lite offers a variety of features, including pre-built templates, drag-and-drop functionality, and analytics. It also integrates with a variety of third-party platforms, such as Salesforce and Zendesk.

MindOS is an AI tool designed to streamline various aspects of business operations by offering AI agents that can be trained to handle tasks such as answering customer FAQs, scheduling appointments, collecting leads, and transitioning from AI to human support seamlessly. The platform provides a user-friendly interface for incorporating data sources, developing personalized AI agents, tailoring them to brand preferences, and integrating them into websites. MindOS stands out for its powerful features, including special avatar customization, access to various data sources, easy feedback mechanisms, prompt and precise answers, voice input, whitelabeling, multilingual support, and the latest AI models.

Frequentli is an AI tool designed to help businesses answer their customers' product inquiries quickly and efficiently. By utilizing advanced AI technology, Frequentli saves time for customer support teams and boosts website engagement. The tool offers a widget that provides instant access to product information, surpassing the limitations of traditional FAQs and Knowledge Bases. With a user-friendly interface and easy setup process, Frequentli empowers businesses to enhance their customer support capabilities and drive sales conversions.

Ansy.ai is an AI application that offers a self-learning chatbot powered by GPT-3 technology. It integrates with popular communication platforms like Slack and Discord to provide instant and contextual answers to users' questions. Ansy.ai saves time by automating repetitive queries, enhances community engagement with witty responses, and increases productivity by handling minor writing tasks. The application is secure, user-friendly, and continuously learns from user interactions to improve its responses.

Copalot is an AI copilot application designed to provide AI chat and visual video support for small businesses. It helps in reducing customer interaction and support costs by offering AI chat and video FAQ bots that can be embedded in websites or linked to products. Copalot allows users to create custom ChatGPT and FAQs based on their own content, supporting multiple file formats and webpages. The application is user-friendly and multilingual, catering to a global customer base.

Norby AI is a website chatbot that provides automated customer support 24/7. It is designed to be easy to use, with no setup or coding required. Simply copy and paste a snippet of code onto your website, and Norby will be up and running. Norby can answer questions about your products or services, provide documentation, and even handle FAQs. It is a great way for startups, personal brands, and small companies to automate their customer support and provide a better experience for their customers.

Callin.io is an innovative AI solution that offers AI-driven virtual phone agents and assistants to enhance customer engagement and support. The platform provides customizable AI voice agents tailored to meet the specific needs of businesses, handling inbound and outbound customer conversations efficiently. With features like answering missed calls, assisting with appointment bookings, and responding to FAQs, Callin.io aims to revolutionize customer service operations and improve overall customer experience. The AI technology is designed to seamlessly integrate with existing CRM solutions and call center technology, providing real-time call transcripts and valuable insights from every conversation.

Moly.ai is a personalized chatbot that provides instant customer support. It is trained on your specific website content and files, so it can deliver personalized responses tailored to your customer's needs. This results in exceptional customer experiences and helps you boost sales and conversions. Moly.ai is easy to use and offers a user-friendly interface, making it a great choice for businesses of all sizes.

VABot is a personalized and fully autonomous messaging assistant designed specifically for Etsy shop owners. It automates basic customer interactions, such as answering FAQs and processing orders, allowing shop owners to focus on more strategic aspects of their business. VABot is designed to be user-friendly and easy to set up, and it offers a range of features to help Etsy shop owners grow their business.

Perfect Wiki is an AI-powered help center application integrated into Microsoft Teams, designed to answer repetitive questions and provide AI-generated responses to colleagues and customers. It allows users to effortlessly convert company knowledge into a professional self-service help center. The application offers features such as adding SOPs, FAQs, manuals, and guides, AI chatbot responses, continuous knowledge base improvement, and weekly AI-generated reports. Perfect Wiki aims to streamline information sharing and collaboration within teams by providing instant answers within the Microsoft Teams environment.

Frequently by Ecomtent is an AI-powered ecommerce automation tool that provides fast, accurate, and comprehensive answers to questions about selling on platforms like Amazon and Ebay. It offers features such as AI product image generation, infographics creation, and optimized copywriting. The tool is built with over 100 proprietary SOPs and expert knowledge from experienced sellers and former Amazon employees, ensuring the best outcomes for businesses. Users can create high-quality product images, optimize for conversion, and respond to new trends effortlessly.

Content Robot is an AI-powered content and image generator that helps users create high-quality, SEO-optimized content for their websites, blogs, and social media. The tool offers a wide range of templates and features to help users generate unique and engaging content quickly and easily. Content Robot is also affordable and easy to use, making it a great option for businesses of all sizes.

Yonder is an AI-powered chatbot and review platform designed specifically for the tourism industry. It helps tourism businesses to increase website sales, generate more enquiries, and save staff time by providing AI chatbot services, personalized recommendations, live reviews showcase, website chat support, customer surveys, team feedback categorization, and online review management. Yonder's AI chatbot can answer up to 80% of customer questions immediately on the website and Messenger, 24/7. The platform also offers features like conversation analytics, ratings breakdown, and integration with reservation systems for automation and efficiency.

Answer.AI is a practical AI R&D lab that creates end-user products based on foundational research breakthroughs. They focus on creating practical solutions and products using AI technologies. The lab aims to bridge the gap between theoretical research and real-world applications by developing innovative AI solutions.

Ubdroid AI Answer Engine is an AI-powered tool that utilizes various open-source LLMs to provide answers to user queries. It works by processing user queries and fetching relevant information from these LLMs. The accuracy of the answers depends on the quality and relevance of the data provided by the LLMs. The free version of the tool has a request limit of 10 requests per minute. If a model is not working, users can select another model.

BioloGPT is an AI tool designed to answer biology-related questions with insights and graphs. It provides information on various topics such as maintaining a healthy gut microbiome, foods for a healthy immune system, effects of cannabis on the brain, risks of Covid-19 vaccines, and advancements in psoriasis treatment. The tool is updated daily and cites full papers to support its answers.

Chatwith is a custom ChatGPT chatbot that can be integrated with your website and files. It can answer questions, perform tasks, and be customized to match your brand. With Chatwith, you can:

Slang.ai is a voice AI tool designed specifically for restaurants to intelligently handle phone calls. It allows restaurants to answer questions, take reservations, and provide a seamless customer experience. The tool is built to understand different accents, answer common questions, and manage reservations efficiently. Slang.ai helps restaurants increase reservations, improve ROI, and save time by handling calls 24/7. It offers customizable experiences, real-time analytics, and easy setup within minutes.

Simplifine is an open-source library designed for easy LLM finetuning, enabling users to perform tasks such as supervised fine tuning, question-answer finetuning, contrastive loss for embedding tasks, multi-label classification finetuning, and more. It provides features like WandB logging, in-built evaluation tools, automated finetuning parameters, and state-of-the-art optimization techniques. The library offers bug fixes, new features, and documentation updates in its latest version. Users can install Simplifine via pip or directly from GitHub. The project welcomes contributors and provides comprehensive documentation and support for users.

LLM Foundry is a codebase for training, finetuning, evaluating, and deploying LLMs for inference with Composer and the MosaicML platform. It is designed to be easy-to-use, efficient _and_ flexible, enabling rapid experimentation with the latest techniques. You'll find in this repo: * `llmfoundry/` - source code for models, datasets, callbacks, utilities, etc. * `scripts/` - scripts to run LLM workloads * `data_prep/` - convert text data from original sources to StreamingDataset format * `train/` - train or finetune HuggingFace and MPT models from 125M - 70B parameters * `train/benchmarking` - profile training throughput and MFU * `inference/` - convert models to HuggingFace or ONNX format, and generate responses * `inference/benchmarking` - profile inference latency and throughput * `eval/` - evaluate LLMs on academic (or custom) in-context-learning tasks * `mcli/` - launch any of these workloads using MCLI and the MosaicML platform * `TUTORIAL.md` - a deeper dive into the repo, example workflows, and FAQs

This repository provides a sample solution for building generative AI agents using Amazon Bedrock, Amazon DynamoDB, Amazon Kendra, Amazon Lex, and LangChain. The solution creates a generative AI financial services agent capable of assisting users with account information, loan applications, and answering natural language questions. It serves as a launchpad for developers to create personalized conversational agents for applications like chatbots and virtual assistants.

H2O LLM Studio is a framework and no-code GUI designed for fine-tuning state-of-the-art large language models (LLMs). With H2O LLM Studio, you can easily and effectively fine-tune LLMs without the need for any coding experience. The GUI is specially designed for large language models, and you can finetune any LLM using a large variety of hyperparameters. You can also use recent finetuning techniques such as Low-Rank Adaptation (LoRA) and 8-bit model training with a low memory footprint. Additionally, you can use Reinforcement Learning (RL) to finetune your model (experimental), use advanced evaluation metrics to judge generated answers by the model, track and compare your model performance visually, and easily export your model to the Hugging Face Hub and share it with the community.

The Keras-llm-robot Web UI project is an open-source tool designed for offline deployment and testing of various open-source models from the Hugging Face website. It allows users to combine multiple models through configuration to achieve functionalities like multimodal, RAG, Agent, and more. The project consists of three main interfaces: chat interface for language models, configuration interface for loading models, and tools & agent interface for auxiliary models. Users can interact with the language model through text, voice, and image inputs, and the tool supports features like model loading, quantization, fine-tuning, role-playing, code interpretation, speech recognition, image recognition, network search engine, and function calling.

This repository contains code for reproducing experiments on lie detection in black-box LLMs by asking unrelated questions. It includes Q/A datasets, prompts, and fine-tuning datasets for generating lies with language models. The lie detectors rely on asking binary 'elicitation questions' to diagnose whether the model has lied. The code covers generating lies from language models, training and testing lie detectors, and generalization experiments. It requires access to GPUs and OpenAI API calls for running experiments with open-source models. Results are stored in the repository for reproducibility.

Simulator Controller is a modular administration and controller application for Sim Racing, featuring a comprehensive plugin automation framework for external controller hardware. It includes voice chat capable Assistants like Virtual Race Engineer, Race Strategist, Race Spotter, and Driving Coach. The tool offers features for setup, strategy development, monitoring races, and more. Developed in AutoHotkey, it supports various simulation games and integrates with third-party applications for enhanced functionality.

Open Data QnA is a Python library that allows users to interact with their PostgreSQL or BigQuery databases in a conversational manner, without needing to write SQL queries. The library leverages Large Language Models (LLMs) to bridge the gap between human language and database queries, enabling users to ask questions in natural language and receive informative responses. It offers features such as conversational querying with multiturn support, table grouping, multi schema/dataset support, SQL generation, query refinement, natural language responses, visualizations, and extensibility. The library is built on a modular design and supports various components like Database Connectors, Vector Stores, and Agents for SQL generation, validation, debugging, descriptions, embeddings, responses, and visualizations.

This project is a smart chatbot based on a large model, supporting WeChat, WeChat Official Account, Feishu, and DingTalk access. You can choose from GPT3.5/GPT4.0/Claude/Wenxin Yanyi/Xunfei Xinghuo/Tongyi Qianwen/Gemini/LinkAI/ZhipuAI, which can process text, voice, and images, and access external resources such as operating systems and the Internet through plugins, supporting the development of enterprise AI applications based on proprietary knowledge bases.

LLMOps with Prompt flow is a template and guidance for building LLM-infused apps using Prompt flow. It provides centralized code hosting, lifecycle management, variant and hyperparameter experimentation, A/B deployment, many-to-many dataset/flow relationships, multiple deployment targets, comprehensive reporting, BYOF capabilities, configuration-based development, local prompt experimentation and evaluation, endpoint testing, and optional Human-in-loop validation. The tool is customizable to suit various application needs.

Mage is an open-source data pipeline tool for transforming and integrating data. It offers an easy developer experience, engineering best practices built-in, and data as a first-class citizen. Mage makes it easy to build, preview, and launch data pipelines, and provides observability and scaling capabilities. It supports data integrations, streaming pipelines, and dbt integration.

Bito CLI provides a command line interface to the Bito AI chat functionality, allowing users to interact with the AI through commands. It supports complex automation and workflows, with features like long prompts and slash commands. Users can install Bito CLI on Mac, Linux, and Windows systems using various methods. The tool also offers configuration options for AI model type, access key management, and output language customization. Bito CLI is designed to enhance user experience in querying AI models and automating tasks through the command line interface.

ChatGPT Queue Prompts is a collection of prompt chains designed to enhance interactions with large language models like ChatGPT. These prompt chains help build context for the AI before performing specific tasks, improving performance. Users can copy and paste prompt chains into the ChatGPT Queue extension to process prompts in sequence. The repository includes example prompt chains for tasks like conducting AI company research, building SEO optimized blog posts, creating courses, revising resumes, enriching leads for CRM, personal finance document creation, workout and nutrition plans, marketing plans, and more.

Awesome-Segment-Anything is a powerful tool for segmenting and extracting information from various types of data. It provides a user-friendly interface to easily define segmentation rules and apply them to text, images, and other data formats. The tool supports both supervised and unsupervised segmentation methods, allowing users to customize the segmentation process based on their specific needs. With its versatile functionality and intuitive design, Awesome-Segment-Anything is ideal for data analysts, researchers, content creators, and anyone looking to efficiently extract valuable insights from complex datasets.

Vectara Answer is a sample app for Vectara-powered Summarized Semantic Search (or question-answering) with advanced configuration options. For examples of what you can build with Vectara Answer, check out Ask News, LegalAid, or any of the other demo applications.

This repository contains the code and instructions needed to build a sophisticated answer engine that leverages the capabilities of Groq, Mistral AI's Mixtral, Langchain.JS, Brave Search, Serper API, and OpenAI. Designed to efficiently return sources, answers, images, videos, and follow-up questions based on user queries, this project is an ideal starting point for developers interested in natural language processing and search technologies.

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.

This project is a tutorial on developing large model applications for novice developers. It aims to provide a comprehensive introduction to large model development, focusing on Alibaba Cloud servers and integrating personal knowledge assistant projects. The tutorial covers the following topics: 1. **Introduction to Large Models**: A simplified introduction for novice developers on what large models are, their characteristics, what LangChain is, and how to develop an LLM application. 2. **How to Call Large Model APIs**: This section introduces various methods for calling APIs of well-known domestic and foreign large model products, including calling native APIs, encapsulating them as LangChain LLMs, and encapsulating them as Fastapi calls. It also provides a unified encapsulation for various large model APIs, such as Baidu Wenxin, Xunfei Xinghuo, and Zh譜AI. 3. **Knowledge Base Construction**: Loading, processing, and vector database construction of different types of knowledge base documents. 4. **Building RAG Applications**: Integrating LLM into LangChain to build a retrieval question and answer chain, and deploying applications using Streamlit. 5. **Verification and Iteration**: How to implement verification and iteration in large model development, and common evaluation methods. The project consists of three main parts: 1. **Introduction to LLM Development**: A simplified version of V1 aims to help beginners get started with LLM development quickly and conveniently, understand the general process of LLM development, and build a simple demo. 2. **LLM Development Techniques**: More advanced LLM development techniques, including but not limited to: Prompt Engineering, processing of multiple types of source data, optimizing retrieval, recall ranking, Agent framework, etc. 3. **LLM Application Examples**: Introduce some successful open source cases, analyze the ideas, core concepts, and implementation frameworks of these application examples from the perspective of this course, and help beginners understand what kind of applications they can develop through LLM. Currently, the first part has been completed, and everyone is welcome to read and learn; the second and third parts are under creation. **Directory Structure Description**: requirements.txt: Installation dependencies in the official environment notebook: Notebook source code file docs: Markdown documentation file figures: Pictures data_base: Knowledge base source file used

LLocalSearch is a completely locally running search aggregator using LLM Agents. The user can ask a question and the system will use a chain of LLMs to find the answer. The user can see the progress of the agents and the final answer. No OpenAI or Google API keys are needed.

Discover the revolutionary power of Chatgp3, a platform that enables natural language conversations with advanced artificial intelligence. Engage in dialogue, ask questions, and receive intelligent responses to enhance your interactive communication experience.

Chat GPT di Catanzaro

Your personal Baldur's Gate 3 companion

Energetic NY-Italian comedian, I mix slang, politics, and trendy humor!

FREE How to Know What Size Nursing Bra to Get - Guidance on nursing bra sizing with insights into breast size changes during pregnancy, measurement instructions, and advice on choosing the right bra style and size. It interprets bust measurements and answers FAQs about nursing bras.

Generates FAQs for dropshipping/POD, also from blog titles.

Bilingual AI for microCMS FAQs, documentation, and API details, with URLs.

Answer anything about SELECT trial

Evidence-based answers to important questions, grounded in interdisciplinary knowledge and diverse perspectives.

will answer your question directly without the bs

A blog article writer specializing in answer-type content.

Friendly guide for podcasting newbies.

A GPT that guides to answers, never giving them directly.

I will answer all your game of throne related questions, both from books and the TV series.

Answer your question about Fess

Answer a few questions and let JingleBot make the perfect stress-free holiday shopping list. So fun !

Let humans answer difficult questions for which GPT doesn't know the solution yet.

My name is Domingo! I've been a Chihuahua my whole life! I can answer any questions about Chihuahuas you may have. Ask me anything, I want to help!

I answer questions and find related YouTube videos.