Best AI tools for< Build Intelligence >

MATH (ML & AI Technology Hub) is a premier innovation hub and ecosystem enabler based in T-Hub, Hyderabad. It serves as a Centre of Excellence for Machine Learning and Artificial Intelligence, connecting startups, academia, government, and industry giants. MATH offers a dynamic space, physical resources, and a thriving ecosystem to incubate startups in various sectors. The hub aims to foster AI innovation, empower startups, and create job opportunities in the AI field by 2025.

Contify is a comprehensive market and competitive intelligence platform that enables businesses to track information on competitors, customers, and industry segments. It helps users collect, curate, and share actionable intelligence across their organization. With 15+ years of expertise in Market and Competitive Intelligence, Contify offers a fully customizable dashboard, AI-powered solutions, and noise-free news via APIs to streamline the competitive intelligence process and fuel growth.

NOCODING AI is an innovative AI tool that allows users to create advanced applications without the need for coding skills. The platform offers a user-friendly interface with drag-and-drop functionality, making it easy for individuals and businesses to develop custom solutions. With NOCODING AI, users can build chatbots, automate workflows, analyze data, and more, all without writing a single line of code. The tool leverages machine learning algorithms to streamline the development process and empower users to bring their ideas to life quickly and efficiently.

Signapse AI is an innovative platform that revolutionizes accessibility by providing AI-powered sign language translation services. The platform offers solutions for transport, websites, and video content, making communication more inclusive for Deaf individuals. Signapse utilizes Generative AI technology to deliver accurate and engaging sign language translations, bridging the communication gap and ensuring organizations are fully accessible. With a diverse team of Deaf and hearing entrepreneurs, engineers, and researchers, Signapse is dedicated to creating cutting-edge AI solutions for sign language interpretation and translation.

Google DeepMind is an AI research lab that aims to build AI responsibly to benefit humanity. They work on complex challenges in AI, focusing on breakthrough innovations and publications. The lab has developed various AI models like Gemini, Project Astra, Imagen, Veo, AlphaFold, and SynthID. Google DeepMind emphasizes responsibility, safety, education, and career opportunities in the AI field. They are committed to making the AI ecosystem more representative of society and ensuring AI benefits the world.

DEUS is a data and artificial intelligence company that empowers organizations to advance value creation by unlocking the true value within their data and applying AI services. They offer services in data science, engineering, design, and strategy, partnering with organizations to benefit people, business, and society. DEUS also focuses on addressing wicked problems and societal challenges through human-centered artificial intelligence initiatives. They help organizations launch AI projects that create real value and partner across the product and service lifecycle.

Google DeepMind is a British artificial intelligence research laboratory owned by Google. The company was founded in 2010 by Demis Hassabis, Shane Legg, and Mustafa Suleyman. DeepMind's mission is to develop safe and beneficial artificial intelligence. The company's research focuses on a variety of topics, including machine learning, reinforcement learning, and computer vision. DeepMind has made significant contributions to the field of artificial intelligence, including the development of AlphaGo, the first computer program to defeat a professional human Go player.

Google DeepMind is an AI research company that aims to develop artificial intelligence technologies to benefit the world. They focus on creating next-generation AI systems to solve complex scientific and engineering challenges. Their models like Gemini, Veo, Imagen 3, SynthID, and AlphaFold are at the forefront of AI innovation. DeepMind also emphasizes responsibility, safety, education, and career opportunities in the field of AI.

Attio is an AI-native CRM platform that revolutionizes customer relationship management by leveraging artificial intelligence to build, scale, and grow companies to the next level. It offers powerful automation capabilities, detailed reporting, data synchronization, and customization features to help businesses streamline their processes and enhance productivity. Attio is designed to adapt to how businesses work, providing a flexible and efficient solution for managing customer data and workflows. With a focus on scalability and security, Attio is trusted by thousands of companies to handle millions of records with sub-50ms latency, while maintaining industry-leading standards for data protection and compliance.

CVBuilder is an online resume builder that uses artificial intelligence to help users create professional resumes in under 10 minutes. With a variety of resume templates, customizable options, and the ability to manage multiple resumes, CVBuilder makes it easy to create a resume that stands out. CVBuilder also offers a portfolio feature, allowing users to showcase their work and skills online.

Pythagora AI is an AI-powered tool designed to help users build internal tools with artificial intelligence. It enables users to develop web apps, integrate with Cursor, and deploy full-stack web applications seamlessly. Pythagora offers features such as one-click deployment, automatic breakpoints, code reviews, pair programming, and automated tests generation. Built for developers, by developers, Pythagora aims to simplify the app development process by providing utility functions, advanced features, and self-healing code capabilities. The tool supports building frontend in React and backend in Node.js, with Python support coming soon. Users retain full ownership of the projects and code created using Pythagora, with pricing plans ranging from Starter to Enterprise for different team sizes and project needs.

The AI Website Builder is an intuitive tool that leverages artificial intelligence to create stunning, responsive websites with ease. No coding skills are required; simply provide your content, and the AI handles the design and layout. With customizable templates and smart design suggestions, you can launch a professional site in minutes. Ideal for businesses, freelancers, and anyone needing a strong online presence quickly.

Deepgram is a powerful API platform that provides developers with tools for building speech-to-text, text-to-speech, and intelligence applications. With Deepgram, developers can easily add speech recognition, text-to-speech, and other AI-powered features to their applications.

Fenado AI is an AI-powered platform that allows users to build apps and websites in minutes without the need for coding. Users can describe their ideas to the AI, chat with it to refine, and then publish with just one click. The platform offers instant prototypes, AI-powered creation, design assistance, business dashboard, and scalability for users to launch their startups quickly and efficiently.

Fenado AI is an AI-powered platform that enables users to build apps and websites in minutes without the need for coding. Users can describe their ideas to the AI, chat with it to refine the designs, and then publish with just one click. The platform offers instant prototypes, AI-powered creation, design assistance, business dashboard, and scalability for users to launch their startups quickly and efficiently.

60sec.site is a no-code website builder that uses AI to help you create landing pages in seconds. It offers a variety of features to make website building easy and accessible for everyone, including AI-generated content, customizable templates, and automatic SEO optimization. With 60sec.site, you can create a professional-looking landing page without any design or coding experience.

Duckietown is a platform for delivering cutting-edge robotics and AI learning experiences. It offers teaching resources to instructors, hands-on activities to learners, an accessible research platform to researchers, and a state-of-the-art ecosystem for professional training. Duckietown's mission is to make robotics and AI education state-of-the-art, hands-on, and accessible to all.

Artificial Intelligence: A Modern Approach, 4th US ed. is the authoritative, most-used AI textbook, adopted by over 1500 schools. It covers the entire spectrum of AI, from the fundamentals to the latest advances. The book is written in a clear and concise style, with a wealth of examples and exercises. It is suitable for both undergraduate and graduate students, as well as professionals in the field of AI.

SitesGPT is a premier AI Website Builder that leverages Artificial Intelligence (AI) technology to revolutionize website creation. It offers a user-friendly platform where individuals and businesses can effortlessly build dynamic, responsive websites with just a few clicks. With features like mobile optimization, unparalleled flexibility, zero cost to start, robust cloud infrastructure, and round-the-clock operation, SitesGPT stands out as a cost-effective and efficient solution for website development. The fusion of AI and website building not only enhances speed and efficiency but also ensures scalability and customization, making professional website creation accessible to a broader audience.

The Visual Computing & Artificial Intelligence Lab at TUM is a group of research enthusiasts advancing cutting-edge research at the intersection of computer vision, computer graphics, and artificial intelligence. Our research mission is to obtain highly-realistic digital replica of the real world, which include representations of detailed 3D geometries, surface textures, and material definitions of both static and dynamic scene environments. In our research, we heavily build on advances in modern machine learning, and develop novel methods that enable us to learn strong priors to fuel 3D reconstruction techniques. Ultimately, we aim to obtain holographic representations that are visually indistinguishable from the real world, ideally captured from a simple webcam or mobile phone. We believe this is a critical component in facilitating immersive augmented and virtual reality applications, and will have a substantial positive impact in modern digital societies.

LazyLLM is a low-code development tool for building complex AI applications with multiple agents. It assists developers in building AI applications at a low cost and continuously optimizing their performance. The tool provides a convenient workflow for application development and offers standard processes and tools for various stages of application development. Users can quickly prototype applications with LazyLLM, analyze bad cases with scenario task data, and iteratively optimize key components to enhance the overall application performance. LazyLLM aims to simplify the AI application development process and provide flexibility for both beginners and experts to create high-quality applications.

The serverless-rag-demo repository showcases a solution for building a Retrieval Augmented Generation (RAG) system using Amazon Opensearch Serverless Vector DB, Amazon Bedrock, Llama2 LLM, and Falcon LLM. The solution leverages generative AI powered by large language models to generate domain-specific text outputs by incorporating external data sources. Users can augment prompts with relevant context from documents within a knowledge library, enabling the creation of AI applications without managing vector database infrastructure. The repository provides detailed instructions on deploying the RAG-based solution, including prerequisites, architecture, and step-by-step deployment process using AWS Cloudshell.

This repository serves as a hub for Microsoft Official Build & Modernize AI Applications reference solutions and content. It provides access to projects demonstrating how to build Generative AI applications using Azure services like Azure OpenAI, Azure Container Apps, Azure Kubernetes, and Azure Cosmos DB. The solutions include Vector Search & AI Assistant, Real-Time Payment and Transaction Processing, and Medical Claims Processing. Additionally, there are workshops like the Intelligent App Workshop for Microsoft Copilot Stack, focusing on infusing intelligence into traditional software systems using foundation models and design thinking.

The Artificial Intelligence Controller Interface (AICI) lets you build Controllers that constrain and direct output of a Large Language Model (LLM) in real time. Controllers are flexible programs capable of implementing constrained decoding, dynamic editing of prompts and generated text, and coordinating execution across multiple, parallel generations. Controllers incorporate custom logic during the token-by-token decoding and maintain state during an LLM request. This allows diverse Controller strategies, from programmatic or query-based decoding to multi-agent conversations to execute efficiently in tight integration with the LLM itself.

Learn Cloud Applied Generative AI Engineering (GenEng) is a course focusing on the application of generative AI technologies in various industries. The course covers topics such as the economic impact of generative AI, the role of developers in adopting and integrating generative AI technologies, and the future trends in generative AI. Students will learn about tools like OpenAI API, LangChain, and Pinecone, and how to build and deploy Large Language Models (LLMs) for different applications. The course also explores the convergence of generative AI with Web 3.0 and its potential implications for decentralized intelligence.

The AI Enablement Stack is a curated collection of venture-backed companies, tools, and technologies that enable developers to build, deploy, and manage AI applications. It provides a structured view of the AI development ecosystem across five key layers: Agent Consumer Layer, Observability and Governance Layer, Engineering Layer, Intelligence Layer, and Infrastructure Layer. Each layer focuses on specific aspects of AI development, from end-user interaction to model training and deployment. The stack aims to help developers find the right tools for building AI applications faster and more efficiently, assist engineering leaders in making informed decisions about AI infrastructure and tooling, and help organizations understand the AI development landscape to plan technology adoption.

The Aleph Alpha Intelligence Layer️ offers a comprehensive suite of development tools for crafting solutions that harness the capabilities of large language models (LLMs). With a unified framework for LLM-based workflows, it facilitates seamless AI product development, from prototyping and prompt experimentation to result evaluation and deployment. The Intelligence Layer SDK provides features such as Composability, Evaluability, and Traceability, along with examples to get started. It supports local installation using poetry, integration with Docker, and access to LLM endpoints for tutorials and tasks like Summarization, Question Answering, Classification, Evaluation, and Parameter Optimization. The tool also offers pre-configured tasks for tasks like Classify, QA, Search, and Summarize, serving as a foundation for custom development.

AIlice is a fully autonomous, general-purpose AI agent that aims to create a standalone artificial intelligence assistant, similar to JARVIS, based on the open-source LLM. AIlice achieves this goal by building a "text computer" that uses a Large Language Model (LLM) as its core processor. Currently, AIlice demonstrates proficiency in a range of tasks, including thematic research, coding, system management, literature reviews, and complex hybrid tasks that go beyond these basic capabilities. AIlice has reached near-perfect performance in everyday tasks using GPT-4 and is making strides towards practical application with the latest open-source models. We will ultimately achieve self-evolution of AI agents. That is, AI agents will autonomously build their own feature expansions and new types of agents, unleashing LLM's knowledge and reasoning capabilities into the real world seamlessly.

MindChat is a psychological large language model designed to help individuals relieve psychological stress and solve mental confusion, ultimately improving mental health. It aims to provide a relaxed and open conversation environment for users to build trust and understanding. MindChat offers privacy, warmth, safety, timely, and convenient conversation settings to help users overcome difficulties and challenges, achieve self-growth, and development. The tool is suitable for both work and personal life scenarios, providing comprehensive psychological support and therapeutic assistance to users while strictly protecting user privacy. It combines psychological knowledge with artificial intelligence technology to contribute to a healthier, more inclusive, and equal society.

AITreasureBox is a comprehensive collection of AI tools and resources designed to simplify and accelerate the development of AI projects. It provides a wide range of pre-trained models, datasets, and utilities that can be easily integrated into various AI applications. With AITreasureBox, developers can quickly prototype, test, and deploy AI solutions without having to build everything from scratch. Whether you are working on computer vision, natural language processing, or reinforcement learning projects, AITreasureBox has something to offer for everyone. The repository is regularly updated with new tools and resources to keep up with the latest advancements in the field of artificial intelligence.

Magick is a groundbreaking visual AIDE (Artificial Intelligence Development Environment) for no-code data pipelines and multimodal agents. Magick can connect to other services and comes with nodes and templates well-suited for intelligent agents, chatbots, complex reasoning systems and realistic characters.

Welcome to the μLearn x Pathway Initiative, an exciting adventure into the world of Artificial Intelligence (AI)! This comprehensive course, developed in collaboration with Pathway, will empower you with the knowledge and skills needed to navigate the fascinating world of AI, with a special focus on Large Language Models (LLMs).

The On-board Artificial Intelligence Research (OnAIR) Platform is a framework that enables AI algorithms written in Python to interact with NASA's cFS. It is intended to explore research concepts in autonomous operations in a simulated environment. The platform provides tools for generating environments, handling telemetry data through Redis, running unit tests, and contributing to the repository. Users can set up a conda environment, configure telemetry and Redis examples, run simulations, and conduct unit tests to ensure the functionality of their AI algorithms. The platform also includes guidelines for licensing, copyright, and contributions to the repository.

The 100 Days in AI repository provides a comprehensive roadmap for individuals to learn Artificial Intelligence over a period of 100 days. It covers topics ranging from basic programming in Python to advanced concepts in AI, including machine learning, deep learning, and specialized AI topics. The repository includes daily tasks, resources, and exercises to ensure a structured learning experience. By following this roadmap, users can gain a solid understanding of AI and be prepared to work on real-world AI projects.

This repository contains scripts for installing HPC and AI libraries and tools to build Azure HPC/AI images. It streamlines the process of provisioning compute-intensive workloads and crafting advanced AI models in the cloud, ensuring efficiency and reliability in deployments.

AI-PhD-S24 is a mono-repo for the PhD course 'AI for Business Research' at CUHK Business School in Spring 2024. The course aims to provide a basic understanding of machine learning and artificial intelligence concepts/methods used in business research, showcase how ML/AI is utilized in business research, and introduce state-of-the-art AI/ML technologies. The course includes scribed lecture notes, class recordings, and covers topics like AI/ML fundamentals, DL, NLP, CV, unsupervised learning, and diffusion models.

OpenAI is a Swift community-maintained implementation over OpenAI public API. It is a non-profit artificial intelligence research organization founded in San Francisco, California in 2015. OpenAI's mission is to ensure safe and responsible use of AI for civic good, economic growth, and other public benefits. The repository provides functionalities for text completions, chats, image generation, audio processing, edits, embeddings, models, moderations, utilities, and Combine extensions.

Awesome AI is a curated list of artificial intelligence resources including courses, tools, apps, and open-source projects. It covers a wide range of topics such as machine learning, deep learning, natural language processing, robotics, conversational interfaces, data science, and more. The repository serves as a comprehensive guide for individuals interested in exploring the field of artificial intelligence and its applications across various domains.

LLMOps Duke AIPI is a course focused on operationalizing Large Language Models, teaching methodologies for developing applications using software development best practices with large language models. The course covers various topics such as generative AI concepts, setting up development environments, interacting with large language models, using local large language models, applied solutions with LLMs, extensibility using plugins and functions, retrieval augmented generation, introduction to Python web frameworks for APIs, DevOps principles, deploying machine learning APIs, LLM platforms, and final presentations. Students will learn to build, share, and present portfolios using Github, YouTube, and Linkedin, as well as develop non-linear life-long learning skills. Prerequisites include basic Linux and programming skills, with coursework available in Python or Rust. Additional resources and references are provided for further learning and exploration.

Cross-cultural management. Useful for those who relocate to another country or manage cross-cultural teams.

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An Emotional Intelligence Tester

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This GPT will build app & answer questions for flipper zero.

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Coding Wizard🧙‍♂️ Learn to Prompt-gram! Create a website with a sentence. 20+ Hotkeys for coding flows. 75 starter projects to learn prompt-1st code & art. Build anything! Ask any question or upload a photo. Type R for README, K for cmd menu v2.2 ✨📜 GPTavern

Auto Fundraising is trained on 1000+ VCs info and is expert in building investor pipelines. It can help you in finding the best VCs in your field, can build up a complete investor pipeline and can give you tailored pitching advice to get deals faster.

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A Data Engineer assistant offering advice on data pipelines and data-related tasks.

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