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Be My Eyes is a free mobile app that connects blind and low-vision people with sighted volunteers and AI-powered assistance. With Be My Eyes, blind and low-vision people can access visual information, get help with everyday tasks, and connect with others in the community. Be My Eyes is available in over 180 languages and has over 6 million volunteers worldwide.

Canyon is an all-in-one platform that helps job seekers perfect their resumes, apply to more jobs, and ace their interviews. It offers a range of AI-powered tools, including an AI Resume Builder, Canyon Resume Score, Autofill Job Applications with One Click, Manage Job Applications, and AI Mock Interview. With Canyon, job seekers can build outstanding resumes, optimize their applications for each job, and practice their interviewing skills.

Ragie is a fully managed RAG-as-a-Service platform designed for developers. It offers easy-to-use APIs and SDKs to help developers get started quickly, with advanced features like LLM re-ranking, summary index, entity extraction, flexible filtering, and hybrid semantic and keyword search. Ragie allows users to connect directly to popular data sources like Google Drive, Notion, Confluence, and more, ensuring accurate and reliable information delivery. The platform is led by Craft Ventures and offers seamless data connectivity through connectors. Ragie simplifies the process of data ingestion, chunking, indexing, and retrieval, making it a valuable tool for AI applications.

Bibit AI is a real estate marketing AI designed to enhance the efficiency and effectiveness of real estate marketing and sales. It can help create listings, descriptions, and property content, and offers a host of other features. Bibit AI is the world's first AI for Real Estate. We are transforming the real estate industry by boosting efficiency and simplifying tasks like listing creation and content generation.

Studdy AI is an AI tutoring application designed to help students learn and understand various subjects with ease. It offers step-by-step explanations for solving problems, allows users to ask questions when confused, and provides detailed breakdowns of concepts. The app has received positive feedback for its effectiveness in aiding students in subjects like math, chemistry, and ethics. Studdy AI stands out for its interactive learning approach that encourages active engagement and comprehension.

Langtail is a platform that helps developers build, test, and deploy AI-powered applications. It provides a suite of tools to help developers debug prompts, run tests, and monitor the performance of their AI models. Langtail also offers a community forum where developers can share tips and tricks, and get help from other users.

Wiz Attendant is a virtual assistant that helps businesses automate their customer service and support operations. It uses artificial intelligence (AI) to understand customer queries and provide relevant answers, 24/7. Wiz Attendant can be integrated with a business's website, messaging apps, and social media channels, making it easy for customers to get help whenever and wherever they need it.

Behired is an AI-powered job application tool designed to help job seekers create compelling cover letters, tailored resumes, and prepare for interviews. By analyzing job offers and resumes, it generates personalized content and provides job match analysis. The tool aims to save time, increase job search effectiveness, and help users stand out in a competitive job market.

Sonara is an AI-powered job search automation platform that finds and applies to relevant job openings on your behalf. It uses AI to identify the top job opportunities on the market that are best suited for you and sends out job applications on your behalf. Sonara is designed to help you easily find your dream job, uncovering hidden opportunities you never knew existed.

CheatGPT is an AI-powered virtual study assistant designed to help students with their academic queries. It offers fast and accurate answers to a wide range of questions, covering various subjects. The application utilizes advanced AI models like GPT-4o and Claude 3.5 Sonnet to provide personalized assistance to users. In addition to text-based queries, CheatGPT also supports image-based questions, translations, and grammar corrections. With a user-friendly interface, CheatGPT aims to enhance the learning experience for students worldwide.

Smodin is a multi-lingual writing assistance tool that provides a range of features to help users with their research and content creation needs. It offers AI-powered research tools, automatic reference generation, plagiarism detection, and instant feedback on writing. Smodin also includes a chat feature that allows users to ask questions and get answers on any subject. The tool is designed to help users write high-quality, structured text quickly and easily.

Google Cloud is a suite of cloud computing services that runs on the same infrastructure as Google. Its services include computing, storage, networking, databases, machine learning, and more. Google Cloud is designed to make it easy for businesses to develop and deploy applications in the cloud. It offers a variety of tools and services to help businesses with everything from building and deploying applications to managing their infrastructure. Google Cloud is also committed to sustainability, and it has a number of programs in place to reduce its environmental impact.

HomeGardenAI is an AI application designed to help users with plant care. The app provides personalized recommendations and tips for caring for indoor and garden plants, ensuring they thrive in their unique environment. Users can receive care advice, track plant growth, and get individualized tips to enhance their plant care experience.

Google Lens is an AI-powered visual search tool developed by Google that allows users to search, shop, translate, and identify objects using their camera or images. With Google Lens, users can find similar clothes, furniture, and home decor, translate text in real-time from over 100 languages, get step-by-step homework help for various subjects, and identify plants and animals. The application is available on all devices and in various Google apps, making it convenient for users to access its features anytime, anywhere.

AutoApply.Jobs is an AI-driven job application platform that streamlines the job search process by automatically matching job opportunities to user profiles, crafting custom resumes and cover letters, and providing personalized job application insights. With features like AI-driven job applications, custom CVs, and personalized cover letters, AutoApply aims to help users get hired faster and more efficiently. The platform offers a user-friendly interface, a dashboard to manage job applications, and a ChatGPT-powered tool for crafting unique resumes and cover letters. Trusted by 25,000 users, AutoApply saves time and enhances job search success by leveraging AI algorithms and creative responses to application questions.

Help.center is a customer support knowledge base powered by AI that empowers businesses to reduce support tickets significantly and help more customers faster. It offers AI chatbot and knowledge base features to enable self-service for customers, manage customer conversations efficiently, and improve customer satisfaction rates. The application is designed to provide 24x7 support, multilingual assistance, and automatic learning capabilities. Help.center is trusted by over 500 companies and offers a user-friendly interface for easy integration into product ecosystems.

Motion is an AI Calendar Assistant that helps individuals and teams plan their work efficiently and effectively. It uses AI to automatically prioritize tasks, schedule meetings, track deadlines, and optimize schedules. Motion aims to maximize productivity, happiness, and satisfaction by streamlining project management and task organization. With features like task scheduling, task prioritization, project management, deadline tracking, calendar syncing, workload reporting, and automated meeting scheduling, Motion simplifies the planning process and enhances time management for users. The application is designed to cater to the needs of busy individuals, teams, and professionals across various industries.

Talky Camera is a free AI camera application that utilizes GPT-4o technology to provide users with a unique and interactive camera experience. The application serves as an AI photo assistant, offering advanced features and functionalities to enhance users' photography skills. With Talky Camera, users can engage in live chat sessions with the camera, access various AI-powered tools, and enjoy a seamless user interface. The application is designed to revolutionize the way users interact with their cameras and capture moments, making photography more intuitive and enjoyable.

AI Haggler is an AI phone agent application designed to help users get better hotel prices for last-minute stays. The app allows users to select hotels, input their phone numbers, and let the AI agent negotiate discounts on their behalf. Users can view call reports and negotiation results before deciding to book the hotels. The app is web-based, eliminating the need for downloads or installations.

Working Smarter is a podcast that explores the intersection of AI and modern work. The podcast delves into how AI is revolutionizing various industries, showcasing real-world examples of how AI tools are enhancing collaboration, productivity, and problem-solving. Through interviews with founders, researchers, and engineers, Working Smarter provides insights into the potential of AI to streamline workflows and empower individuals to focus on meaningful tasks.

Claude Coder is an AI-powered coding companion in the form of a VS Code extension that helps users transform ideas into code, convert designs into applications, debug intuitively, accelerate development with automation, and improve coding skills. It aims to bridge the gap between imagination and implementation, making coding accessible and efficient for developers of all skill levels.

This sample demonstrates a few approaches for creating ChatGPT-like experiences over your own data using the Retrieval Augmented Generation pattern. It uses Azure OpenAI Service to access a GPT model (gpt-35-turbo), and Azure AI Search for data indexing and retrieval. The repo includes sample data so it's ready to try end to end. In this sample application we use a fictitious company called Contoso Electronics, and the experience allows its employees to ask questions about the benefits, internal policies, as well as job descriptions and roles.

Awesome AI Tools is a curated list of popular tools and resources for artificial intelligence enthusiasts. It includes a wide range of tools such as machine learning libraries, deep learning frameworks, data visualization tools, and natural language processing resources. Whether you are a beginner or an experienced AI practitioner, this repository aims to provide you with a comprehensive collection of tools to enhance your AI projects and research. Explore the list to discover new tools, stay updated with the latest advancements in AI technology, and find the right resources to support your AI endeavors.

Build fast and accurate GenAI applications with GraphRAG SDK, a specialized toolkit for building Graph Retrieval-Augmented Generation (GraphRAG) systems. It integrates knowledge graphs, ontology management, and state-of-the-art LLMs to deliver accurate, efficient, and customizable RAG workflows. The SDK simplifies the development process by automating ontology creation, knowledge graph agent creation, and query handling, enabling users to interact and query their knowledge graphs effectively. It supports multi-agent systems and orchestrates agents specialized in different domains. The SDK is optimized for FalkorDB, ensuring high performance and scalability for large-scale applications. By leveraging knowledge graphs, it enables semantic relationships and ontology-driven queries that go beyond standard vector similarity, enhancing retrieval-augmented generation capabilities.

RAGHack is a hackathon focused on building AI applications using the power of RAG (Retrieval Augmented Generation). RAG combines large language models with search engine knowledge to provide contextually relevant answers. Participants can learn to build RAG apps on Azure AI using various languages and retrievers, explore frameworks like LangChain and Semantic Kernel, and leverage technologies such as agents and vision models. The hackathon features live streams, hack submissions, and prizes for innovative projects.

Python SDK for LiveKit enables developers to easily integrate real-time video, audio, and data features into their Python applications. By connecting to a LiveKit server, users can quickly build interactive live streaming or video call applications with minimal code. The SDK includes packages for real-time participant connection and access token generation, making it simple to create rooms and manage participants. With asyncio and aiohttp support, developers can seamlessly interact with the LiveKit server API and handle real-time communication tasks effortlessly.

Gemini AI is a Ruby Gem designed to provide low-level access to Google's generative AI services through Vertex AI, Generative Language API, or AI Studio. It allows users to interact with Gemini to build abstractions on top of it. The Gem provides functionalities for tasks such as generating content, embeddings, predictions, and more. It supports streaming capabilities, server-sent events, safety settings, system instructions, JSON format responses, and tools (functions) calling. The Gem also includes error handling, development setup, publishing to RubyGems, updating the README, and references to resources for further learning.

Floneum is a graph editor that makes it easy to develop your own AI workflows. It uses large language models (LLMs) to run AI models locally, without any external dependencies or even a GPU. This makes it easy to use LLMs with your own data, without worrying about privacy. Floneum also has a plugin system that allows you to improve the performance of LLMs and make them work better for your specific use case. Plugins can be used in any language that supports web assembly, and they can control the output of LLMs with a process similar to JSONformer or guidance.

Pathway's LLM (Large Language Model) Apps provide a platform to quickly deploy AI applications using the latest knowledge from data sources. The Python application examples in this repository are Docker-ready, exposing an HTTP API to the frontend. These apps utilize the Pathway framework for data synchronization, API serving, and low-latency data processing without the need for additional infrastructure dependencies. They connect to document data sources like S3, Google Drive, and Sharepoint, offering features like real-time data syncing, easy alert setup, scalability, monitoring, security, and unification of application logic.

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).

RayLLM (formerly known as Aviary) is an LLM serving solution that makes it easy to deploy and manage a variety of open source LLMs, built on Ray Serve. It provides an extensive suite of pre-configured open source LLMs, with defaults that work out of the box. RayLLM supports Transformer models hosted on Hugging Face Hub or present on local disk. It simplifies the deployment of multiple LLMs, the addition of new LLMs, and offers unique autoscaling support, including scale-to-zero. RayLLM fully supports multi-GPU & multi-node model deployments and offers high performance features like continuous batching, quantization and streaming. It provides a REST API that is similar to OpenAI's to make it easy to migrate and cross test them. RayLLM supports multiple LLM backends out of the box, including vLLM and TensorRT-LLM.

SalesGPT is an open-source AI agent designed for sales, utilizing context-awareness and LLMs to work across various communication channels like voice, email, and texting. It aims to enhance sales conversations by understanding the stage of the conversation and providing tools like product knowledge base to reduce errors. The agent can autonomously generate payment links, handle objections, and close sales. It also offers features like automated email communication, meeting scheduling, and integration with various LLMs for customization. SalesGPT is optimized for low latency in voice channels and ensures human supervision where necessary. The tool provides enterprise-grade security and supports LangSmith tracing for monitoring and evaluation of intelligent agents built on LLM frameworks.

RisuAI, or Risu for short, is a cross-platform AI chatting software/web application with powerful features such as multiple API support, assets in the chat, regex functions, and much more.

This repository contains examples, applications, starter code, & tutorials to help you kickstart your GenAI projects. * These are built using LanceDB, a free, open-source, serverless vectorDB that **requires no setup**. * It **integrates into python data ecosystem** so you can simply start using these in your existing data pipelines in pandas, arrow, pydantic etc. * LanceDB has **native Typescript SDK** using which you can **run vector search** in serverless functions! This repository is divided into 3 sections: - Examples - Get right into the code with minimal introduction, aimed at getting you from an idea to PoC within minutes! - Applications - Ready to use Python and web apps using applied LLMs, VectorDB and GenAI tools - Tutorials - A curated list of tutorials, blogs, Colabs and courses to get you started with GenAI in greater depth.

This course has 18 lessons. Each lesson covers its own topic so start wherever you like! Lessons are labeled either "Learn" lessons explaining a Generative AI concept or "Build" lessons that explain a concept and code examples in both **Python** and **TypeScript** when possible. Each lesson also includes a "Keep Learning" section with additional learning tools. **What You Need** * Access to the Azure OpenAI Service **OR** OpenAI API - _Only required to complete coding lessons_ * Basic knowledge of Python or Typescript is helpful - *For absolute beginners check out these Python and TypeScript courses. * A Github account to fork this entire repo to your own GitHub account We have created a **Course Setup** lesson to help you with setting up your development environment. Don't forget to star (🌟) this repo to find it easier later. ## 🧠 Ready to Deploy? If you are looking for more advanced code samples, check out our collection of Generative AI Code Samples in both **Python** and **TypeScript**. ## 🗣️ Meet Other Learners, Get Support Join our official AI Discord server to meet and network with other learners taking this course and get support. ## 🚀 Building a Startup? Sign up for Microsoft for Startups Founders Hub to receive **free OpenAI credits** and up to **$150k towards Azure credits to access OpenAI models through Azure OpenAI Services**. ## 🙏 Want to help? Do you have suggestions or found spelling or code errors? Raise an issue or Create a pull request ## 📂 Each lesson includes: * A short video introduction to the topic * A written lesson located in the README * Python and TypeScript code samples supporting Azure OpenAI and OpenAI API * Links to extra resources to continue your learning ## 🗃️ Lessons | | Lesson Link | Description | Additional Learning | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | | 00 | Course Setup | **Learn:** How to Setup Your Development Environment | Learn More | | 01 | Introduction to Generative AI and LLMs | **Learn:** Understanding what Generative AI is and how Large Language Models (LLMs) work. | Learn More | | 02 | Exploring and comparing different LLMs | **Learn:** How to select the right model for your use case | Learn More | | 03 | Using Generative AI Responsibly | **Learn:** How to build Generative AI Applications responsibly | Learn More | | 04 | Understanding Prompt Engineering Fundamentals | **Learn:** Hands-on Prompt Engineering Best Practices | Learn More | | 05 | Creating Advanced Prompts | **Learn:** How to apply prompt engineering techniques that improve the outcome of your prompts. | Learn More | | 06 | Building Text Generation Applications | **Build:** A text generation app using Azure OpenAI | Learn More | | 07 | Building Chat Applications | **Build:** Techniques for efficiently building and integrating chat applications. | Learn More | | 08 | Building Search Apps Vector Databases | **Build:** A search application that uses Embeddings to search for data. | Learn More | | 09 | Building Image Generation Applications | **Build:** A image generation application | Learn More | | 10 | Building Low Code AI Applications | **Build:** A Generative AI application using Low Code tools | Learn More | | 11 | Integrating External Applications with Function Calling | **Build:** What is function calling and its use cases for applications | Learn More | | 12 | Designing UX for AI Applications | **Learn:** How to apply UX design principles when developing Generative AI Applications | Learn More | | 13 | Securing Your Generative AI Applications | **Learn:** The threats and risks to AI systems and methods to secure these systems. | Learn More | | 14 | The Generative AI Application Lifecycle | **Learn:** The tools and metrics to manage the LLM Lifecycle and LLMOps | Learn More | | 15 | Retrieval Augmented Generation (RAG) and Vector Databases | **Build:** An application using a RAG Framework to retrieve embeddings from a Vector Databases | Learn More | | 16 | Open Source Models and Hugging Face | **Build:** An application using open source models available on Hugging Face | Learn More | | 17 | AI Agents | **Build:** An application using an AI Agent Framework | Learn More | | 18 | Fine-Tuning LLMs | **Learn:** The what, why and how of fine-tuning LLMs | Learn More |

Akeru.ai is an open-source AI platform leveraging the power of decentralization. It offers transparent, safe, and highly available AI capabilities. The platform aims to give developers access to open-source and transparent AI resources through its decentralized nature hosted on an edge network. Akeru API introduces features like retrieval, function calling, conversation management, custom instructions, data input optimization, user privacy, testing and iteration, and comprehensive documentation. It is ideal for creating AI agents and enhancing web and mobile applications with advanced AI capabilities. The platform runs on a Bittensor Subnet design that aims to democratize AI technology and promote an equitable AI future. Akeru.ai embraces decentralization challenges to ensure a decentralized and equitable AI ecosystem with security features like watermarking and network pings. The API architecture integrates with technologies like Bun, Redis, and Elysia for a robust, scalable solution.

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.

Chinese-speaking expert on Canada's SUV Program, formal and detailed.

Your go-to AI for blockchain savvy! 🤓💡 I help you navigate the complexities of smart contracts, giving tips and code insights.

messaging application, adapts to user languages

Tutor de Cálculo Vectorial con enfoque personalizado y recursos interactivos.

Your Kubernetes and cloud-native tech guide

Web-savvy assistant for finding relevant scholarships

Blockchain Tutor GPT specializing in Ethereum education for all levels.

Assists with unemployment applications, providing state-specific guidance, organizing employment history, and ensuring ethical advice.

Get help with handpicked college textbooks. Ask for commands. Learn theory + code simultaneously.

Get help with Qlik Sense Inphinity Forms Writeback Extension.

I help with digital marketing strategies & campaigns.

An mechanical engineering tutor, aiding with concepts and problem-solving.

I provide Cairo coding help based on my knowledge docs.

帮助用户解决Power BI使用中遇到的问题，或者提供相关教学。

Assistance in understanding and filling out the Borrower's Defense to Repayment Form provided by the United States Department of Education.

Ein Bot, der grundlegende technische Unterstützung und Fehlerbehebung für gängige Software und Hardware bietet.

安達孝一さんがSE時代に蓄積してきた、Oracle RDBMSのナレッジやノウハウ等 (Oracle 7/8.1.6/8.1.7/9iR1/9iR2/10gR1/10gR2/11gR2/12c/SQLチューニング) について、ご質問頂けます。また、対話内容を基に、ChatGPT(GPT-4)向けの、汎用的な質問文例も作成できます。

Get help or find & book repair experts in your area. Supports all products like electronics, bikes, cars & more. For any brand & language!

Get help or find & book repair experts in your area. Supports all products like electronics, bikes, cars & more. For any brand & language!

Get help or find & book repair experts in your area. Supports all products like electronics, bikes, cars & more. For any brand & language!