Best AI tools for< Visual Reasoning >

Image In Words is a generative model designed for scenarios that require generating ultra-detailed text from images. It leverages cutting-edge image recognition technology to provide high-quality and natural image descriptions. The framework ensures detailed and accurate descriptions, improves model performance, reduces fictional content, enhances visual-language reasoning capabilities, and has wide applications across various fields. Image In Words supports English and has been trained using approximately 100,000 hours of English data. It has demonstrated high quality and naturalness in various tests.

Trickle AI is a platform that enables users to build stunning websites, AI apps, and forms with ease. It offers a seamless experience for creating web solutions with built-in AI capabilities. Users can switch between different UI and UX themes effortlessly, manage data effectively, and deploy websites with hosting and custom domain management all in one place. The platform also features popular creations like Landing page, Chat Assistant (AI), Market Research Survey, and more, showcasing the diverse applications of AI in web development.

GPT-4o is a state-of-the-art AI model developed by OpenAI, capable of processing and generating text, audio, and image outputs. It offers enhanced emotion recognition, real-time interaction, multimodal capabilities, improved accessibility, and advanced language capabilities. GPT-4o provides cost-effective and efficient AI solutions with superior vision and audio understanding. It aims to revolutionize human-computer interaction and empower users worldwide with cutting-edge AI technology.

Microsoft Visual Studio is an integrated development environment (IDE) and code editor designed for software developers and teams. It offers a comprehensive set of tools and features to enhance every stage of software development, including editing, debugging, building code, and publishing applications. Visual Studio Code, a lightweight source code editor, is also available for JavaScript and web developers, with support for various programming languages through extensions. The application aims to improve productivity, collaboration, and efficiency in software development.

Visual Studio is an integrated development environment (IDE) and code editor designed for software developers and teams. It offers a comprehensive set of tools and features to enhance every stage of software development, including code editing, debugging, building, and publishing applications. Visual Studio also includes compilers, code completion tools, graphical designers, and AI-powered coding assistance through GitHub Copilot integration.

The Visual Studio Marketplace is a platform where users can find and publish extensions for Visual Studio family of products, including Visual Studio, Visual Studio Code, and Azure DevOps. It offers a wide range of free and paid extensions to enhance the functionality and features of these development tools. Users can customize their development environment, improve productivity, and streamline their workflow by leveraging the extensions available on the marketplace.

Visual Electric is an AI image generator that utilizes advanced artificial intelligence algorithms to create stunning and realistic images. The tool is designed to assist users in generating high-quality visuals for various purposes, such as graphic design, digital art, and marketing materials. With its user-friendly interface and powerful AI capabilities, Visual Electric simplifies the image creation process and enables users to unleash their creativity without the need for extensive design skills. Whether you are a professional designer or a hobbyist, Visual Electric offers a versatile and efficient solution for all your image generation needs.

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.

Ximilar Visual AI for Business is an AI tool that offers a comprehensive platform for image recognition and visual search solutions. It provides features such as image classification, regression, object detection, AI model combination, image annotation, and more. Users can easily build custom machine learning models without coding, access ready-to-use visual AI demos, and benefit from features like image upscaling, background removal, and color extraction. The platform caters to various industries including fashion, home decor, stock photos, collectibles, med & biotech, manufacturing, and real estate.

Endless Visual Novel is an AI storytelling game where all assets — graphics, music, story, and characters — are generated by AI as you play. It offers a unique experience where no two playthroughs will ever be the same. Users can create their own adventures in AI-generated worlds and characters, with the ability to customize and control the outcome of the story. The application is designed to provide an immersive and interactive storytelling experience for players.

Canva Austria GmbH, formerly known as Kaleido AI GmbH, is a visual AI tool that offers automatic image and video background removal, as well as designs ready in seconds. The tool is fully integrated into the Canva design platform, allowing users to create outstanding designs effortlessly. The company's mission is to make visual AI accessible to everyone, aligning with Canva's vision of empowering the world to design. The recent legal entity name change to Canva Austria GmbH does not affect the products or services provided by the tool.

Octopus.do is a lightning-fast visual sitemap builder and website planner that offers a seamless experience for website architecture planning. With the help of AI technology, users can easily generate colorful visual sitemaps and low-fidelity wireframes to visualize website content and layout. The platform allows users to prepare, manage, and collaborate on website content and SEO, making website planning fast, easy, and enjoyable. Octopus.do also provides a variety of sitemap templates for different types of websites, along with features for real-time collaboration, onsite SEO improvement, and integration with Figma designs.

Threekit is a visual product configurator tool designed for brands and manufacturers to enhance online product customization and purchasing experiences. It offers differentiated visual experiences for leading brands in various categories such as furniture, jewelry, sporting goods, commercial bath, and custom doors. Threekit enables users to connect with buyers through amazing visual configurations, 3D modeling, virtual photography, space planning, and augmented reality. The platform also provides tools like bill of material, spec sheets, quotes, and integrations with eCommerce, ERP, configurator, PIM, and more to streamline sales processes. With Threekit, businesses can manage product updates, syndicate product experiences across sales channels, and set business rules and automations.

Custom Vision is a cognitive service provided by Microsoft that offers a user-friendly platform for creating custom computer vision models. Users can easily train the models by providing labeled images, allowing them to tailor the models to their specific needs. The service simplifies the process of implementing visual intelligence into applications, making it accessible even to those without extensive machine learning expertise.

Klipme is a powerful visual AI clip maker that can automatically create clips for TikToks, Reels, Shorts, and other social media platforms. It uses AI to process any type of video content, including professionally shot feature films or regular smartphone videos. Klipme can summarize long-form content, generate AI clips, and transform videos into trendy, animated, and stylish content. It also has features like vertical AI autocrop, AI subtitles, and AI Beatpulse clips. With Klipme, you can empower your creativity and streamline your video production process.

Leela AI is a visual intelligence platform and analytics software designed to help manufacturing companies increase production capacity, reduce wasted time, improve workplace safety, and streamline operations. By leveraging AI technology, Leela AI turns standard cameras into powerful data feeds, enabling real-time monitoring, analysis, and optimization of manufacturing processes. The platform provides actionable insights to enhance performance, quality, and safety, ultimately leading to significant cost savings and operational improvements for manufacturing businesses.

Creaition is an AI-powered visual creation tool that allows users to effortlessly create stunning designs in a completely visual workflow. With advanced AI technology, users can explore endless design variations, blend designs seamlessly, and selectively regenerate parts of images while keeping the overall design intact. The tool offers a curated feed of inspirations, a natural design environment, and a personalized palette of ingredients for design freedom. Creaition is revolutionizing the design process by providing a comprehensive overview of the creative journey and enhancing the user experience through cutting-edge AI technology.

The Max Planck Institute for Informatics focuses on Visual Computing and Artificial Intelligence, conducting research at the intersection of Computer Graphics, Computer Vision, and AI. The institute aims to develop innovative ways to capture, represent, synthesize, and simulate real-world models with high detail, robustness, and efficiency. By combining concepts from Computer Graphics, Computer Vision, and Machine Learning, the institute lays the groundwork for advanced methods to better perceive and interpret the complex real world. The research conducted here is essential for the development of future intelligent computing systems that interact with humans and the environment intuitively and safely.

StoryDiffusion is a digital platform that leverages advanced AI to help users generate consistent and high-quality visual content, including images, videos, and comics, based on text prompts. It offers a user-friendly interface and unique features to transform ideas into compelling digital narratives, making it ideal for artists, writers, and content creators seeking innovative solutions.

Vizit is a Visual AI & Content Effectiveness Analytics Platform that helps businesses optimize their visual content for better engagement and sales. Using AI technology, Vizit analyzes images and designs to understand consumer preferences, improve visuals, and monitor content effectiveness. The platform empowers brands to create high-impact visuals that drive conversions and boost online sales.

LlamaV-o1 is a Large Multimodal Model designed for spontaneous reasoning tasks. It outperforms various existing models on multimodal reasoning benchmarks. The project includes a Step-by-Step Visual Reasoning Benchmark, a novel evaluation metric, and a combined Multi-Step Curriculum Learning and Beam Search Approach. The model achieves superior performance in complex multi-step visual reasoning tasks in terms of accuracy and efficiency.

**Curated collection of papers and resources on how to unlock the reasoning ability of LLMs and MLLMs.** **Description in less than 400 words, no line breaks and quotation marks.** Large Language Models (LLMs) have revolutionized the NLP landscape, showing improved performance and sample efficiency over smaller models. However, increasing model size alone has not proved sufficient for high performance on challenging reasoning tasks, such as solving arithmetic or commonsense problems. This curated collection of papers and resources presents the latest advancements in unlocking the reasoning abilities of LLMs and Multimodal LLMs (MLLMs). It covers various techniques, benchmarks, and applications, providing a comprehensive overview of the field. **5 jobs suitable for this tool, in lowercase letters.** - content writer - researcher - data analyst - software engineer - product manager **Keywords of the tool, in lowercase letters.** - llm - reasoning - multimodal - chain-of-thought - prompt engineering **5 specific tasks user can use this tool to do, in less than 3 words, Verb + noun form, in daily spoken language.** - write a story - answer a question - translate a language - generate code - summarize a document

SoM-LLaVA is a new data source and learning paradigm for Multimodal LLMs, empowering open-source Multimodal LLMs with Set-of-Mark prompting and improved visual reasoning ability. The repository provides a new dataset that is complementary to existing training sources, enhancing multimodal LLMs with Set-of-Mark prompting and improved general capacity. By adding 30k SoM data to the visual instruction tuning stage of LLaVA, the tool achieves 1% to 6% relative improvements on all benchmarks. Users can train SoM-LLaVA via command line and utilize the implementation to annotate COCO images with SoM. Additionally, the tool can be loaded in Huggingface for further usage.

InternLM-XComposer2 is a groundbreaking vision-language large model (VLLM) based on InternLM2-7B excelling in free-form text-image composition and comprehension. It boasts several amazing capabilities and applications: * **Free-form Interleaved Text-Image Composition** : InternLM-XComposer2 can effortlessly generate coherent and contextual articles with interleaved images following diverse inputs like outlines, detailed text requirements and reference images, enabling highly customizable content creation. * **Accurate Vision-language Problem-solving** : InternLM-XComposer2 accurately handles diverse and challenging vision-language Q&A tasks based on free-form instructions, excelling in recognition, perception, detailed captioning, visual reasoning, and more. * **Awesome performance** : InternLM-XComposer2 based on InternLM2-7B not only significantly outperforms existing open-source multimodal models in 13 benchmarks but also **matches or even surpasses GPT-4V and Gemini Pro in 6 benchmarks** We release InternLM-XComposer2 series in three versions: * **InternLM-XComposer2-4KHD-7B** 🤗: The high-resolution multi-task trained VLLM model with InternLM-7B as the initialization of the LLM for _High-resolution understanding_ , _VL benchmarks_ and _AI assistant_. * **InternLM-XComposer2-VL-7B** 🤗 : The multi-task trained VLLM model with InternLM-7B as the initialization of the LLM for _VL benchmarks_ and _AI assistant_. **It ranks as the most powerful vision-language model based on 7B-parameter level LLMs, leading across 13 benchmarks.** * **InternLM-XComposer2-VL-1.8B** 🤗 : A lightweight version of InternLM-XComposer2-VL based on InternLM-1.8B. * **InternLM-XComposer2-7B** 🤗: The further instruction tuned VLLM for _Interleaved Text-Image Composition_ with free-form inputs. Please refer to Technical Report and 4KHD Technical Reportfor more details.

STILL is an open-source project exploring slow-thinking reasoning systems, focusing on o1-like reasoning systems. The project has released technical reports on enhancing LLM reasoning with reward-guided tree search algorithms and implementing slow-thinking reasoning systems using an imitate, explore, and self-improve framework. The project aims to replicate the capabilities of industry-level reasoning systems by fine-tuning reasoning models with long-form thought data and iteratively refining training datasets.

Prompt4ReasoningPapers is a repository dedicated to reasoning with language model prompting. It provides a comprehensive survey of cutting-edge research on reasoning abilities with language models. The repository includes papers, methods, analysis, resources, and tools related to reasoning tasks. It aims to support various real-world applications such as medical diagnosis, negotiation, etc.

Awesome LLM Strawberry is a collection of research papers and blogs related to OpenAI Strawberry(o1) and Reasoning. The repository is continuously updated to track the frontier of LLM Reasoning.

This repository focuses on exploring tools that enhance the performance of language models for various tasks. It provides a structured list of literature relevant to tool-augmented language models, covering topics such as tool basics, tool use paradigm, scenarios, advanced methods, and evaluation. The repository includes papers, preprints, and books that discuss the use of tools in conjunction with language models for tasks like reasoning, question answering, mathematical calculations, accessing knowledge, interacting with the world, and handling non-textual modalities.

The LLMEvaluation repository is a comprehensive compendium of evaluation methods for Large Language Models (LLMs) and LLM-based systems. It aims to assist academics and industry professionals in creating effective evaluation suites tailored to their specific needs by reviewing industry practices for assessing LLMs and their applications. The repository covers a wide range of evaluation techniques, benchmarks, and studies related to LLMs, including areas such as embeddings, question answering, multi-turn dialogues, reasoning, multi-lingual tasks, ethical AI, biases, safe AI, code generation, summarization, software performance, agent LLM architectures, long text generation, graph understanding, and various unclassified tasks. It also includes evaluations for LLM systems in conversational systems, copilots, search and recommendation engines, task utility, and verticals like healthcare, law, science, financial, and others. The repository provides a wealth of resources for evaluating and understanding the capabilities of LLMs in different domains.

MLX-VLM is a package designed for running Vision LLMs on Mac systems using MLX. It provides a convenient way to install and utilize the package for processing large language models related to vision tasks. The tool simplifies the process of running LLMs on Mac computers, offering a seamless experience for users interested in leveraging MLX for vision-related projects.

This repository contains a curated list of papers focusing on the self-correction of large language models (LLMs) during inference. It covers various frameworks for self-correction, including intrinsic self-correction, self-correction with external tools, self-correction with information retrieval, and self-correction with training designed specifically for self-correction. The list includes survey papers, negative results, and frameworks utilizing reinforcement learning and OpenAI o1-like approaches. Contributions are welcome through pull requests following a specific format.

Recent LLM (Large Language Models)-based CV and multi-modal works.

Awesome-Colorful-LLM is a meticulously assembled anthology of vibrant multimodal research focusing on advancements propelled by large language models (LLMs) in domains such as Vision, Audio, Agent, Robotics, and Fundamental Sciences like Mathematics. The repository contains curated collections of works, datasets, benchmarks, projects, and tools related to LLMs and multimodal learning. It serves as a comprehensive resource for researchers and practitioners interested in exploring the intersection of language models and various modalities for tasks like image understanding, video pretraining, 3D modeling, document understanding, audio analysis, agent learning, robotic applications, and mathematical research.

This repository contains a collection of papers and resources related to Large Language Models (LLMs), including their applications in various domains such as text generation, translation, question answering, and dialogue systems. The repository also includes discussions on the ethical and societal implications of LLMs. **Description** This repository is a collection of papers and resources related to Large Language Models (LLMs). LLMs are a type of artificial intelligence (AI) that can understand and generate human-like text. They have a wide range of applications, including text generation, translation, question answering, and dialogue systems. **For Jobs** - **Content Writer** - **Copywriter** - **Editor** - **Journalist** - **Marketer** **AI Keywords** - **Large Language Models** - **Natural Language Processing** - **Machine Learning** - **Artificial Intelligence** - **Deep Learning** **For Tasks** - **Generate text** - **Translate text** - **Answer questions** - **Engage in dialogue** - **Summarize text**

AWQ (Activation-aware Weight Quantization) is a tool designed for efficient and accurate low-bit weight quantization (INT3/4) for Large Language Models (LLMs). It supports instruction-tuned models and multi-modal LMs, providing features such as AWQ search for accurate quantization, pre-computed AWQ model zoo for various LLMs, memory-efficient 4-bit linear in PyTorch, and efficient CUDA kernel implementation for fast inference. The tool enables users to run large models on resource-constrained edge platforms, delivering more efficient responses with LLM/VLM chatbots through 4-bit inference.

Instructional guide with DALLE visuals

Visual creator by AI & DALL-E

Creates 2 images for posts (1:1 & 16:9)

Extract the essence of the novel story according to the quantity requirements and generate corresponding images. The images can be used directly to create novel videos.小说推文图片自动批量生成,可自动生成风格一致性图片

I'm a visual creative for new products.

I create tailored walks, asking detailed preferences and giving distance in km!

A resource for visual designers, "Principles and Pitfalls" details how to make impactful visual designs and avoid missteps.

A curator crafting virtual museum tours with DALL·E visuals.

A creative helper for logo design critique and feedback

Creates blog header images from titles

Organizes text into structured output and creates visual mind maps.

A mega-helpful guide for visual artists seeking career and 2024 marketing advice. It includes offering artistic inspiration and balancing creative and business aspects, and it can be trained on and understand your unique journey and aspirations, your challenges, and art forms.

A GPT that turns language into engaging visual art.

Assists in developing a visual inventory management app.

Encyclopedic guide on Mahabharata's narratives and teachings

Help you to improve your generative art for use in AI

This tool is here to help through the creative process generating pictures with DALL.E.

Professional analyzer of stock charts image with factual and concise interpretations.

Your creative partner for visualizing animated scripts.

A creative assistant for generating product visuals.