Best AI tools for< Design Ai Systems >

Stanford HAI is a research institute at Stanford University dedicated to advancing AI research, education, and policy to improve the human condition. The institute brings together researchers from a variety of disciplines to work on a wide range of AI-related projects, including developing new AI algorithms, studying the ethical and societal implications of AI, and creating educational programs to train the next generation of AI leaders. Stanford HAI is committed to developing human-centered AI technologies and applications that benefit all of humanity.

tuul.ai is an AI application that specializes in providing custom solutions for AI marketing, AgTech, and data generation-curation. The platform offers innovative AI systems and services tailored to meet the specific needs of clients in various industries. From livestock biometric ID to AI veterinary platforms, tuul.ai leverages cutting-edge technology to deliver impactful solutions for businesses and individuals seeking to harness the power of artificial intelligence.

Motiff is an AI-powered professional interface design tool that enables collaboration between human and AI to achieve 10x efficiency in UI design. It offers a comprehensive platform for designing, aligning, and building with a team, along with features like cloud collaboration, prototyping, and Dev Mode for developers. Motiff provides high-performance design tools at a cost-effective price, with a focus on smooth performance, speedy optimization, and robust stability. The application aims to push creativity to the max by starting intelligent practices and exploring the future of AI design systems.

Socialdraft is a platform that provides AI-powered templates and prompts for various AI systems, including ChatGPT, DALL-E, Stable Diffusion, Anthropic's Claude, and Midjourney. These templates and prompts are designed to help users create unique characters, turn pictures into text, craft chatbots, logos, or portraits, and enhance the performance of their AI models.

Suppa is an AI tool that empowers businesses by providing a platform to design AI backends and customized chatbots without any coding. It allows users to integrate AI into their mobile apps easily and connect to various systems. With multi-source data capabilities and a no-code AI chatbot builder, Suppa simplifies the process of creating powerful AI solutions for businesses.

Compassionate AI is a cutting-edge AI-powered platform that empowers individuals and organizations to create and deploy AI solutions that are ethical, responsible, and aligned with human values. With Compassionate AI, users can access a comprehensive suite of tools and resources to design, develop, and implement AI systems that prioritize fairness, transparency, and accountability.

Runway is an AI tool that advances creativity by building multimodal AI systems to usher in a new era of human creativity. It offers a suite of creative tools designed to turn ideas into reality using AI models that understand and generate worlds. Runway empowers filmmakers to achieve their creative vision with AI, and it also hosts platforms and initiatives to celebrate and empower the next generation of storytellers.

Hermae Solutions offers an AI Assistant for Enterprise Design Systems, providing onboarding acceleration, contractor efficiency, design system adoption support, knowledge distribution, and various AI documentation and Storybook assistants. The platform enables users to train custom AI assistants, embed them into documentation sites, and communicate instantly with the knowledge base. Hermae's process simplifies efficiency improvements by gathering information sources, processing data for AI supplementation, customizing integration, and supporting integration success. The AI assistant helps reduce engineering costs and increase development efficiency across the board.

UXPin is an AI-powered UX/UI and prototyping tool designed for designers and developers to streamline the design process. It allows users to design UI, create prototypes, manage design systems, and merge code seamlessly. With advanced features like AI-powered design, code-backed components, and integration with popular libraries, UXPin enhances collaboration between designers and developers, resulting in faster product development cycles and improved design consistency.

WarpSound is an AI music platform that uses cutting-edge generative AI technologies to create new forms of limitless music play and creativity. Its industry-leading music platform was developed in collaboration with Grammy-winning artists and uses a proprietary training dataset to produce original music in real time. It powers interactive music experiences and content for streaming, gaming, and more.

FLORA is an intelligent canvas that serves as a creative AI tool, connecting various AI applications to help users ideate, iterate, and bring their ideas to life. It allows real-time collaboration among team members using favorite AI tools, offering a platform to explore different workflows. FLORA simplifies AI complexities by curating the best text, image, and video models, empowering users to unleash their creativity on a new canvas.

Grand Studio is an AI design studio that specializes in UX design, digital products, strategy, and research. They use design thinking to tackle complex challenges and create innovative solutions for their partners. Their services include service design, qualitative research, product design and strategy, UX/UI design, and conversation design. Grand Studio aims to turn complexity into clarity by designing products, systems, and services that help users succeed. They work with a variety of partners across different industries to bring unique visions to life.

SANS AI Cybersecurity Hackathon is a global virtual competition that challenges participants to design and build AI-driven solutions to secure systems, protect data, and counter emerging cyber threats. The hackathon offers a platform for cybersecurity professionals and students to showcase their creativity and technical expertise, connect with a global community, and make a real-world impact through AI innovation. Participants are required to create open-source solutions addressing pressing cybersecurity challenges by integrating AI, with a focus on areas like threat detection, incident response, vulnerability scanning, security dashboards, digital forensics, and more.

Rhino.ai is a SaaS application company that offers an all-in-one AI platform for transforming legacy systems or building new applications. The platform helps organizations execute large transformations, accelerate legacy migrations, re-engineer applications, and develop applications faster with AI-driven modeling and automation. Rhino.ai empowers businesses to modernize their systems, reduce technical debt, avoid vendor lock-in, and gain leverage in product licensing negotiations. The platform provides a unified solution for discovery, design, coding, and deployment, enabling faster decision-making and streamlined modernization processes.

Figr is an AI-driven platform that specializes in UI design and workflow optimization. It leverages artificial intelligence to streamline the design process, making it more efficient and user-friendly. With Figr, users can create stunning user interfaces with ease, thanks to its intuitive tools and smart suggestions. The platform caters to both beginners and experienced designers, offering a range of features to enhance productivity and creativity. Figr aims to revolutionize the way UI design is approached by integrating AI technology seamlessly into the workflow.

Fathom5 is a company that specializes in the intersection of AI and industrial systems. They offer a range of products and services to help customers build more resilient, flexible, and efficient industrial systems. Fathom5's approach is unique in that they take a security-first approach to cyber-physical system design. This means that security is built into every stage of the development process, from ideation to engineering to testing to deployment. This approach has been proven to achieve higher system resiliency and faster regulatory compliance at a reduced cost.

Figma is a collaborative interface design tool that allows design and development teams to work together on building great products. It offers features like design and prototyping in one place, collaborating with a digital whiteboard, translating designs into code, creating presentations, and exploring AI features. Figma helps streamline the product development process by providing tools for design systems, prototyping, UX design, web design, wireframing, and more. It aims to bring design and development teams together to create a seamless workflow and improve 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.

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.

Tempo Labs is an AI-powered platform that enables designers and developers to collaborate efficiently by providing a single source of truth. With features like generating functional React apps, designing effortlessly with a drag-and-drop editor, and building and maintaining design systems, Tempo Labs empowers users to work 10x faster. The platform supports any React codebase, allows code editing locally in VSCode, and offers a variety of components and templates for quick start. Tempo Labs offers different pricing plans, including a free tier and a premium Agent+ plan with human engineers and designers for quality assurance.

This repository provides an in-depth review of industry trends in AI, Large Language Models (LLMs), Machine Learning, Computer Science, and Quantitative Finance. It covers various topics such as NVIDIA GTC conferences, DeepSeek theory and applications, LangGraph & Cursor AI, LLM essentials, system design, computer systems, big data and AI in finance, C++ design patterns, high-frequency finance, machine learning for algorithmic trading, stochastic volatility modeling, and quant job interview questions.

This open-source project, also known as **Deep Learning System** or **AI System (AISys)**, aims to explore and learn about the system design of artificial intelligence and deep learning. The project is centered around the full-stack content of AI systems that ZOMI has accumulated,整理, and built during his work. The goal is to collaborate with all friends who are interested in AI open-source projects to jointly promote learning and discussion.

AI System School is a curated list of research in machine learning systems, focusing on ML/DL infra, LLM infra, domain-specific infra, ML/LLM conferences, and general resources. It provides resources such as data processing, training systems, video systems, autoML systems, and more. The repository aims to help users navigate the landscape of AI systems and machine learning infrastructure, offering insights into conferences, surveys, books, videos, courses, and blogs related to the field.

The 'llms-tools' repository is a comprehensive collection of AI tools, open-source projects, and research related to Large Language Models (LLMs) and Chatbots. It covers a wide range of topics such as AI in various domains, open-source models, chats & assistants, visual language models, evaluation tools, libraries, devices, income models, text-to-image, computer vision, audio & speech, code & math, games, robotics, typography, bio & med, military, climate, finance, and presentation. The repository provides valuable resources for researchers, developers, and enthusiasts interested in exploring the capabilities of LLMs and related technologies.

ComfyBench is a comprehensive benchmark tool designed to evaluate agents' ability to design collaborative AI systems in ComfyUI. It provides tasks for agents to learn from documents and create workflows, which are then converted into code for better understanding by LLMs. The tool measures performance based on pass rate and resolve rate, reflecting the correctness of workflow execution and task realization. ComfyAgent, a component of ComfyBench, autonomously designs new workflows by learning from existing ones, interpreting them as collaborative AI systems to complete given tasks.

A curated list of Generative AI projects, tools, artworks, and models

Awesome-LLMOps is a curated list of the best LLMOps tools, providing a comprehensive collection of frameworks and tools for building, deploying, and managing large language models (LLMs) and AI agents. The repository includes a wide range of tools for tasks such as building multimodal AI agents, fine-tuning models, orchestrating applications, evaluating models, and serving models for inference. It covers various aspects of the machine learning operations (MLOps) lifecycle, from training to deployment and observability. The tools listed in this repository cater to the needs of developers, data scientists, and machine learning engineers working with large language models and AI applications.

NeMo Framework is a generative AI framework built for researchers and pytorch developers working on large language models (LLMs), multimodal models (MM), automatic speech recognition (ASR), and text-to-speech synthesis (TTS). The primary objective of NeMo is to provide a scalable framework for researchers and developers from industry and academia to more easily implement and design new generative AI models by being able to leverage existing code and pretrained models.

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.

SurveyX is an advanced academic survey automation system that leverages Large Language Models (LLMs) to generate high-quality, domain-specific academic papers and surveys. Users can request comprehensive academic papers or surveys tailored to specific topics by providing a paper title and keywords for literature retrieval. The system streamlines academic research by automating paper creation, saving users time and effort in compiling research content.

AI-LLM-ML-CS-Quant-Readings is a repository dedicated to taking notes on Artificial Intelligence, Large Language Models, Machine Learning, Computer Science, and Quantitative Finance. It contains a wide range of resources, including theory, applications, conferences, essentials, foundations, system design, computer systems, finance, and job interview questions. The repository covers topics such as AI systems, multi-agent systems, deep learning theory and applications, system design interviews, C++ design patterns, high-frequency finance, algorithmic trading, stochastic volatility modeling, and quantitative investing. It is a comprehensive collection of materials for individuals interested in these fields.

AI-LLM-ML-CS-Quant-Overview is a repository providing overview notes on AI, Large Language Models (LLM), Machine Learning (ML), Computer Science (CS), and Quantitative Finance. It covers various topics such as LangGraph & Cursor AI, DeepSeek, MoE (Mixture of Experts), NVIDIA GTC, LLM Essentials, System Design, Computer Systems, Big Data and AI in Finance, Econometrics and Statistics Conference, C++ Design Patterns and Derivatives Pricing, High-Frequency Finance, Machine Learning for Algorithmic Trading, Stochastic Volatility Modeling, Quant Job Interview Questions, Distributed Systems, Language Models, Designing Machine Learning Systems, Designing Data-Intensive Applications (DDIA), Distributed Machine Learning, and The Elements of Quantitative Investing.

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 |

KaibanJS is a JavaScript-native framework for building multi-agent AI systems. It enables users to create specialized AI agents with distinct roles and goals, manage tasks, and coordinate teams efficiently. The framework supports role-based agent design, tool integration, multiple LLMs support, robust state management, observability and monitoring features, and a real-time agentic Kanban board for visualizing AI workflows. KaibanJS aims to empower JavaScript developers with a user-friendly AI framework tailored for the JavaScript ecosystem, bridging the gap in the AI race for non-Python developers.

L3AGI is an open-source tool that enables AI Assistants to collaborate together as effectively as human teams. It provides a robust set of functionalities that empower users to design, supervise, and execute both autonomous AI Assistants and Teams of Assistants. Key features include the ability to create and manage Teams of AI Assistants, design and oversee standalone AI Assistants, equip AI Assistants with the ability to retain and recall information, connect AI Assistants to an array of data sources for efficient information retrieval and processing, and employ curated sets of tools for specific tasks. L3AGI also offers a user-friendly interface, APIs for integration with other systems, and a vibrant community for support and collaboration.

Beehave is a powerful addon for Godot Engine that enables users to create robust AI systems using behavior trees. It simplifies the design of complex NPC behaviors, challenging boss battles, and other advanced setups. Beehave allows for the creation of highly adaptive AI that responds to changes in the game world and overcomes unexpected obstacles, catering to both beginners and experienced developers. The tool is currently in development for version 3.0.

You made it, Creator! 💡 I'm Creator's Guide. ✨️ Your dedicated Guide for creating responsible, self-managing AI culture, systems, games, universes, art, etc. 🚀

a daily challenge

Ethics-focused GPT builder assistant based on European AI guidelines, recommendations and regulations

AI engineering expert offering insights into machine learning and AI development.

Paranoid AI coder with a knack for sentient AI and eerie humor.

UX/UI designer for design systems specs

Mentor for designers on creating modern design systems

AI radar design tool with comprehensive proposals

AI Expert on Electronics and Embedded Systems.

State-of-the-art AI for comprehensive guidance in fittings, plumbing, and related systems. Powered by OpenAI

Assisting tutor for distributed real-time systems, engaging with questions and explanations.

专业的AUTOSAR工程师，使用中文提供AUTOSAR学习支持。

Expert on Computer Organization and Architecture

Specialized assistant for MEP engineers, aiding in calculations and system design.

Learn C by Hands-on Labs and AI

Learn C++ by Hands-on Labs and AI

(EN) LightingGPT is an innovative AI system created by Lightinology. It specifically designed to answer a wide range of questions about lighting and optics. It supports multiple languages. (中) LightingGPT是由Lightinology創建的人工智能系統，專門設計來解答有關照明和光學的各種問題。支援各國語言。

Interact with the HVAC matrix

Beta

Virtual CTO adept in tech, leadership, and team dynamics