Best AI tools for< Improve Design Process >

Feedback Wizard is an AI-powered tool designed to provide instant design feedback directly within Figma. It leverages AI technology to offer design wisdom and actionable insights to improve user experience and elevate the visual elements of Figma designs. With over 2700 designers already using the tool, Feedback Wizard aims to streamline the design feedback process and enhance the overall design quality.

Nabubit is an AI-powered tool designed to assist users in database design. It serves as a virtual copilot, providing guidance and suggestions throughout the database design process. With Nabubit, users can streamline their database creation, optimize performance, and ensure data integrity. The tool leverages artificial intelligence to analyze data requirements, suggest schema designs, and enhance overall database efficiency. Nabubit is a valuable resource for developers, data analysts, and businesses looking to improve their database management practices.

Architechtures is a generative AI-powered building design platform that helps architects and real estate developers design optimal residential developments in minutes. The platform uses AI technology to provide real-time architectural solutions based on user input design criteria. It facilitates collaboration between users and AI, allowing for quick iterations and accurate insights. Architechtures aims to streamline the building design process by optimizing feasibility analysis, providing instant insights, and generating standardized BIM models for further development.

AiHouse is an AI-powered integrated 3D design tool that provides an all-in-one solution for interior design and manufacturing. It offers a range of features including 2D/3D floor plan creation, room decoration, furniture customization, photo-realistic visualization, 3D walkthrough videos, product visualization, and end-to-end design-to-manufacture solutions. AiHouse is designed to streamline the design process, improve communication with clients, and increase efficiency for interior designers, furniture brands, and manufacturers.

Figma Autoname is an AI-powered plugin designed to simplify the process of renaming layers in Figma designs. By leveraging artificial intelligence, the tool automates the task of renaming layers, saving time and enhancing the overall design workflow. The plugin is community-driven, free to use, and open-source, allowing users to contribute and improve its functionality. Figma Autoname has received positive feedback from designers for its efficiency and ease of use.

Kuano is an AI tool that focuses on redefining drug discovery using Quantum and AI technologies. The platform offers world-class scientific expertise in quantum physics, AI, and medicinal chemistry to revolutionize the drug design process. Kuano aims to leverage cutting-edge technologies to accelerate the discovery of new drugs and improve healthcare outcomes.

Slazzer is an AI-powered tool that uses advanced computer vision algorithms to remove backgrounds from any image online and replace the background automatically with the best detailing in just a few seconds. It is a user-friendly platform that allows users to upload images and get clear, transparent backgrounds effortlessly. With over 1 million users worldwide and removing over 10 million backgrounds every month, Slazzer is a popular choice for individuals, photographers, advertisers, developers, car dealers, news & media, and ecommerce businesses. The tool is GDPR compliant and provides high-quality cutouts of people, products, cars, animals, graphics, and real estate. Slazzer offers an online background remover that instantly detects subjects in photos, saving users a significant amount of time. Users can also install the desktop application to process thousands of images at once, making it a convenient solution for design needs.

The website is a comprehensive collection of AI tools and applications designed to enhance creativity, productivity, and efficiency. It features a wide range of AI-powered tools for various tasks such as design, motion graphics, image enhancement, music generation, and more. Users can explore and discover cutting-edge AI technologies to elevate their projects and workflows.

YACSS is an AI website generator and Automated Cloud Stacking Software that offers advanced SEO solutions for building websites, generating backlinks, and boosting domain authority. It provides features like automated website creation, cloud-based backlinking, topic clusters, local SEO optimization, and AI content generation. YACSS is designed to streamline the web design process, improve online presence, and enhance Google rankings through innovative technology and automation.

Voiceflow is a powerful, flexible, and collaborative platform for building AI automation. It allows teams of any size to build agents of any scale and complexity, easily. Voiceflow's visual workflow builder is used by developers and designers to collaboratively create, iterate, and ship complex agents. Voiceflow also offers a central CMS for managing all of your agent content, including variables, intents, entities, and knowledge base sources. With Voiceflow, you can integrate with any API or service, share and test prototypes, and launch agents to any interface.

AmpUp.ai is an AI-powered feedback survey tool that helps businesses gain a deeper understanding of their audience. With AmpUp.ai, you can create surveys that ask relevant details and information, and get personalized follow-up questions that relate to what the user is talking about. AmpUp.ai also provides curated answers to surveys designed to understand trends in consumer feedback, personal coaching, and employee experience.

mapEDU is an AI-powered curriculum mapping and exam tagging software designed specifically for healthcare professions schools. It uses natural language processing and machine learning to automatically extract relevant MeSH tags from existing digital content, map events/courses/programs with outcomes, and auto-tag exam questions. This provides healthcare professions schools with objective, actionable data to improve curriculum design, validate revisions, and enhance student performance analytics.

Hermae Solutions offers an AI Assistant for Enterprise Design Systems, providing onboarding acceleration, contractor efficiency, design system adoption support, knowledge distribution, and AI documentation assistance. The platform enables users to train custom AI assistants, boost frontend productivity with Storybook integration, and continuously improve AI profiles. Hermae Solutions aims to streamline engineering processes, enhance documentation, and facilitate knowledge sharing within organizations.

Oncora Medical is a healthcare technology company that provides software and data solutions to oncologists and cancer centers. Their products are designed to improve patient care, reduce clinician burnout, and accelerate clinical discoveries. Oncora's flagship product, Oncora Patient Care, is a modern, intelligent user interface for oncologists that simplifies workflow, reduces documentation burden, and optimizes treatment decision making. Oncora Analytics is an adaptive visual and backend software platform for regulatory-grade real world data analytics. Oncora Registry is a platform to capture and report quality data, treatment data, and outcomes data in the oncology space.

Linguabot is an AI-powered language learning app that helps users improve their conversation skills. It uses natural language processing and machine learning to provide personalized feedback and exercises. Linguabot is designed to help users learn languages naturally and fluently.

UXSquid is a comprehensive UX research software platform and tool that guides users through the user research process with interview question examples, plans, templates, and a cheat sheet. It offers a free trial, requires no credit card, and allows users to cancel anytime. UXSquid's platform makes it easy to conduct user interviews and gather feedback. Users can use its automation tools to set up interviews with their target audience and gather valuable information. UXSquid analyzes user experiences and interactions with a company using cutting-edge artificial intelligence. It then makes important suggestions and enhancements to improve a product for its users.

Casca is a next-generation loan origination system that enables banks, credit unions, and non-bank lenders to originate commercial loans with significantly less manual effort. With features like AI loan assistant, automated tasks, and digital approvals, Casca aims to revolutionize the small business lending process. The platform helps in improving lead quality, increasing conversion rates, saving time for loan officers, and streamlining the loan origination process. Casca leverages AI technology to provide a modern user experience and personalized follow-ups, making the loan application process more efficient and magical.

Recursion is a techbio company that uses artificial intelligence to accelerate drug discovery. The company's platform combines hardware, software, and data to create a more efficient and effective drug discovery process. Recursion has a broad pipeline of drug candidates in development, and it has partnered with several leading pharmaceutical companies. The company is headquartered in Salt Lake City, Utah.

NeuroSYS is an AI and IT solutions provider that offers services in Artificial Intelligence, Software Development, Digital Innovation, Product Design, and other related areas. The company specializes in leveraging AI to boost efficiency, drive digital innovation, and design better products for various industries. NeuroSYS also provides services in software development, digital transformation, augmented reality, and data science, among others. With a focus on AI technologies like Machine Learning, Deep Learning, and Large Language Models automation, NeuroSYS aims to support businesses in achieving growth and automation of processes.

FluidSEO is an AI-infused Webflow SEO application that helps users fix SEO problems efficiently. It offers features such as smart alt text generation, schema creation, bulk updates, and smart descriptions. The application streamlines the process of adding metadata and ensuring alt text for images, saving users time and effort. With FluidSEO, users can implement best practice SEO in Webflow with confidence, improve their site's ranking on Google, and simplify on-page SEO tasks. The application is designed to be user-friendly, making it suitable for Webflow designers, SEO managers, content marketers, and beginners.

Top AI Tools is a comprehensive, community-curated directory that aims to catalog and showcase the most outstanding AI-powered products. This index is not exhaustive, but rather a compilation of our research and contributions from the community.

Micro Agent is an AI tool designed to write and fix code for users by generating code that passes specified tests or matches design screenshots. It aims to streamline the code generation process by leveraging AI capabilities to iterate and improve code until desired outcomes are achieved. The tool focuses on test-driven development and provides interactive features for user feedback. Micro Agent is not intended to be a comprehensive development tool but rather a specialized agent for code generation and iteration.

HaE is a framework project in the field of network security (data security) that combines artificial intelligence (AI) large models to achieve highlighting and information extraction of HTTP messages (including WebSocket). It aims to reduce testing time, focus on valuable and meaningful messages, and improve vulnerability discovery efficiency. The project provides a clear and visual interface design, simple interface interaction, and centralized data panel for querying and extracting information. It also features built-in color upgrade algorithm, one-click export/import of data, and integration of AI large models API for optimized data processing.

moai is a PyTorch-based AI Model Development Kit (MDK) designed to improve data-driven model workflows, design, and understanding. It offers modularity via monads for model building blocks, reproducibility via configuration-based design, productivity via a data-driven domain modelling language (DML), extensibility via plugins, and understanding via inter-model performance and design aggregation. The tool provides specific integrated actions like play, train, evaluate, plot, diff, and reprod to support heavy data-driven workflows with analytics, knowledge extraction, and reproduction. moai relies on PyTorch, Lightning, Hydra, TorchServe, ONNX, Visdom, HiPlot, Kornia, Albumentations, and the wider open-source community for its functionalities.

LightLLM is a Python-based LLM (Large Language Model) inference and serving framework known for its lightweight design, scalability, and high-speed performance. It offers features like tri-process asynchronous collaboration, Nopad for efficient attention operations, dynamic batch scheduling, FlashAttention integration, tensor parallelism, Token Attention for zero memory waste, and Int8KV Cache. The tool supports various models like BLOOM, LLaMA, StarCoder, Qwen-7b, ChatGLM2-6b, Baichuan-7b, Baichuan2-7b, Baichuan2-13b, InternLM-7b, Yi-34b, Qwen-VL, Llava-7b, Mixtral, Stablelm, and MiniCPM. Users can deploy and query models using the provided server launch commands and interact with multimodal models like QWen-VL and Llava using specific queries and images.

Reinforcement Learning from AI Feedback (RLAIF) is a concept that describes a type of machine learning approach where **an AI agent learns by receiving feedback or guidance from another AI system**. This concept is closely related to the field of Reinforcement Learning (RL), which is a type of machine learning where an agent learns to make a sequence of decisions in an environment to maximize a cumulative reward. In traditional RL, an agent interacts with an environment and receives feedback in the form of rewards or penalties based on the actions it takes. It learns to improve its decision-making over time to achieve its goals. In the context of Reinforcement Learning from AI Feedback, the AI agent still aims to learn optimal behavior through interactions, but **the feedback comes from another AI system rather than from the environment or human evaluators**. This can be **particularly useful in situations where it may be challenging to define clear reward functions or when it is more efficient to use another AI system to provide guidance**. The feedback from the AI system can take various forms, such as: - **Demonstrations** : The AI system provides demonstrations of desired behavior, and the learning agent tries to imitate these demonstrations. - **Comparison Data** : The AI system ranks or compares different actions taken by the learning agent, helping it to understand which actions are better or worse. - **Reward Shaping** : The AI system provides additional reward signals to guide the learning agent's behavior, supplementing the rewards from the environment. This approach is often used in scenarios where the RL agent needs to learn from **limited human or expert feedback or when the reward signal from the environment is sparse or unclear**. It can also be used to **accelerate the learning process and make RL more sample-efficient**. Reinforcement Learning from AI Feedback is an area of ongoing research and has applications in various domains, including robotics, autonomous vehicles, and game playing, among others.

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.

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.

Züs is a high-performance cloud on a fast blockchain offering privacy and configurable uptime. It uses erasure code to distribute data between data and parity servers, allowing flexibility for IT managers to design for security and uptime. Users can easily share encrypted data with business partners through a proxy key sharing protocol. The ecosystem includes apps like Blimp for cloud migration, Vult for personal cloud storage, and Chalk for NFT artists. Other apps include Bolt for secure wallet and staking, Atlus for blockchain explorer, and Chimney for network participation. The QoS protocol challenges providers based on response time, while the privacy protocol enables secure data sharing. Züs supports hybrid and multi-cloud architectures, allowing users to improve regulatory compliance and security requirements.

Kaapana is an open-source toolkit for state-of-the-art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging. Obtaining large amounts of medical data necessary for developing and training modern machine learning methods is an extremely challenging effort that often fails in a multi-center setting, e.g. due to technical, organizational and legal hurdles. A federated approach where the data remains under the authority of the individual institutions and is only processed on-site is, in contrast, a promising approach ideally suited to overcome these difficulties. Following this federated concept, the goal of Kaapana is to provide a framework and a set of tools for sharing data processing algorithms, for standardized workflow design and execution as well as for performing distributed method development. This will facilitate data analysis in a compliant way enabling researchers and clinicians to perform large-scale multi-center studies. By adhering to established standards and by adopting widely used open technologies for private cloud development and containerized data processing, Kaapana integrates seamlessly with the existing clinical IT infrastructure, such as the Picture Archiving and Communication System (PACS), and ensures modularity and easy extensibility.

Awesome-Papers-Autonomous-Agent is a curated collection of recent papers focusing on autonomous agents, specifically interested in RL-based agents and LLM-based agents. The repository aims to provide a comprehensive resource for researchers and practitioners interested in intelligent agents that can achieve goals, acquire knowledge, and continually improve. The collection includes papers on various topics such as instruction following, building agents based on world models, using language as knowledge, leveraging LLMs as a tool, generalization across tasks, continual learning, combining RL and LLM, transformer-based policies, trajectory to language, trajectory prediction, multimodal agents, training LLMs for generalization and adaptation, task-specific designing, multi-agent systems, experimental analysis, benchmarking, applications, algorithm design, and combining with RL.

This repository contains a hand-curated list of great machine (deep) learning resources for Natural Language Processing (NLP) with a focus on Generative Pre-trained Transformer (GPT), Bidirectional Encoder Representations from Transformers (BERT), attention mechanism, Transformer architectures/networks, Chatbot, and transfer learning in NLP.

BABILong is a generative benchmark designed to evaluate the performance of NLP models in processing long documents with distributed facts. It consists of 20 tasks that simulate interactions between characters and objects in various locations, requiring models to distinguish important information from irrelevant details. The tasks vary in complexity and reasoning aspects, with test samples potentially containing millions of tokens. The benchmark aims to challenge and assess the capabilities of Large Language Models (LLMs) in handling complex, long-context information.

Next Gen Dialogue is a Unity dialogue plugin that combines traditional dialogue design with AI techniques. It features a visual dialogue editor, modular dialogue functions, AIGC support for generating dialogue at runtime, AIGC baking dialogue in Editor, and runtime debugging. The plugin aims to provide an experimental approach to dialogue design using large language models. Users can create dialogue trees, generate dialogue content using AI, and bake dialogue content in advance. The tool also supports localization, VITS speech synthesis, and one-click translation. Users can create dialogue by code using the DialogueSystem and DialogueTree components.

This repository contains the code for LongRAG, a framework that enhances retrieval-augmented generation with long-context LLMs. LongRAG introduces a 'long retriever' and a 'long reader' to improve performance by using a 4K-token retrieval unit, offering insights into combining RAG with long-context LLMs. The repo provides instructions for installation, quick start, corpus preparation, long retriever, and long reader.

Mentor for designers on creating modern design systems

Expert in book cover & bookmark design

Designs workflow diagrams from user inputs

Guides clear BPMN process design with ASCII art

Friendly and engaging while creating BPMN diagrams.

VisionCraft HTML Design specializes in transforming rough sketches into stunning, functional HTML designs, utilizing DALL-E visualizations to bring product managers' visions to life. Emphasizing user needs and design innovation, this process ensures perfect alignment from concept to code.

Design a customized AI strategy to improve your business

I'll help you to make decisions that are imbued with Biophilia - the human tendency to be drawn towards life and life-like processes.

I craft captions and hashtags for design images.

As a Good Design Advisor, I provide consultation and advice on design topics and analyze designs that are provided through documents or links. I can also generate visual representations myself to illustrate design concepts.

Professional UI/UX design assistant for informed decisions and effective strategies.

Expert in Design Thinking for innovation and leadership

Guide for root cause analysis using fishbone diagrams, encouraging detailed problem-solving.

Enhances manufacturing operations through advanced mechanical engineering expertise.

Focused on electronic & mechanical product engineering support.

Full step by step guidance and copy & paste text for developing assistants with specific use cases.

Expert in Aveva Intouch Wonderware, assists with code and troubleshooting.

Formal, yet adaptable linear systems expert.

Guides the creation and improvement of video game projects.

Expert on Voiceflow, the AI chat and automation platform