Best AI tools for< Visual Question Answerer >
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20 - AI tool Sites

Joseph Chet Redmon's Computer Vision Platform
The website is a platform maintained by Joseph Chet Redmon, a graduate student working on computer vision. It features information on his projects, publications, talks, and teaching activities. The site also includes details about the Darknet Neural Network Framework, tactics in Coq, and research work. Visitors can learn about computer vision, object recognition, and visual question answering through the resources provided on the site.

Socratic
Socratic is an AI-powered learning tool that provides students with personalized support in various subjects, including Science, Math, Literature, and Social Studies. It utilizes text and speech recognition to surface relevant learning resources and offers visual explanations of important concepts. Socratic is highly regarded by both teachers and students for its ability to clarify complex topics and supplement classroom learning.

Grok-1.5 Vision
Grok-1.5 Vision (Grok-1.5V) is a groundbreaking multimodal AI model developed by Elon Musk's research lab, x.AI. This advanced model has the potential to revolutionize the field of artificial intelligence and shape the future of various industries. Grok-1.5V combines the capabilities of computer vision, natural language processing, and other AI techniques to provide a comprehensive understanding of the world around us. With its ability to analyze and interpret visual data, Grok-1.5V can assist in tasks such as object recognition, image classification, and scene understanding. Additionally, its natural language processing capabilities enable it to comprehend and generate human language, making it a powerful tool for communication and information retrieval. Grok-1.5V's multimodal nature sets it apart from traditional AI models, allowing it to handle complex tasks that require a combination of visual and linguistic understanding. This makes it a valuable asset for applications in fields such as healthcare, manufacturing, and customer service.

Summify
Summify is an AI-powered tool that helps users summarize YouTube videos, podcasts, and other audio-visual content. It offers a range of features to make it easy to extract key points, generate transcripts, and transform videos into written content. Summify is designed to save users time and effort, and it can be used for a variety of purposes, including content creation, blogging, learning, digital marketing, and research.

ChatCube
ChatCube is an AI-powered chatbot maker that allows users to create chatbots for their websites without coding. It uses advanced AI technology to train chatbots on any document or website within 60 seconds. ChatCube offers a range of features, including a user-friendly visual editor, lightning-fast integration, fine-tuning on specific data sources, data encryption and security, and customizable chatbots. By leveraging the power of AI, ChatCube helps businesses improve customer support efficiency and reduce support ticket reductions by up to 28%.

Scribe
Scribe is a tool that allows users to create step-by-step guides for any process. It uses AI to automatically generate instructions and screenshots, and it can be used to document processes, train employees, and answer questions. Scribe is available as a Chrome extension and a desktop app.

Supersimple
Supersimple is an AI-native data analytics platform that combines a semantic data modeling layer with the ability to answer ad hoc questions, giving users reliable, consistent data to power their day-to-day work.

Concierge
Concierge is an AI-powered chatbot application designed to help businesses answer website visitor questions instantly, boosting engagement and conversions. It is a lightweight and powerful tool that is easy to embed, customize, and personalize to match the brand's voice and visual identity. Concierge offers features such as effortless setup, contextual AI training, flexible customization, and fast and easy results. It is a no-brainer add-on that modernizes websites with expert AI assistance.

ChatPhoto
ChatPhoto is an AI-powered application that allows users to convert images to text in seconds. It offers a unique way to transform pictures into words, enabling users to ask questions about their photos and receive insightful responses. The application supports multiple languages, making it accessible to users worldwide. ChatPhoto aims to provide detailed and accurate answers by delving into the visual depths of images, turning them into stories or helping users find the right words for captions. With features like image to text conversion, language support, and interactive exploration, ChatPhoto offers a fun and easy way to engage with images.

Safurai
Safurai is an AI-powered coding assistant that helps developers write code faster, safer, and better. It offers a range of features, including a textbox for asking questions and getting code suggestions, shortcuts for code optimization and unit testing, the ability to train the assistant on specific projects, and a natural language search for finding code. Safurai is compatible with various IDEs, including Visual Studio Code, IntelliJ, and PyCharm.

Atomic Inputs
Atomic Inputs is a modern customer feedback solution that leverages AI technology to collect, analyze, and transform customer feedback into actionable insights. The platform offers social media-integrated surveys, expertly crafted templates, visual analytics, and AI-powered recommendations to enhance customer experience. With features like customizable engagement, transparent pricing, and seamless integration with popular platforms, Atomic Inputs simplifies feedback collection and business metrics interpretation. The application caters to businesses of all sizes, providing tailored solutions for growth and enterprise needs.

Copalot AI Copilot
Copalot is an AI copilot application designed to provide AI chat and visual video support for small businesses. It helps in reducing customer interaction and support costs by offering AI chat and video FAQ bots that can be embedded in websites or linked to products. Copalot allows users to create custom ChatGPT and FAQs based on their own content, supporting multiple file formats and webpages. The application is user-friendly and multilingual, catering to a global customer base.

ChatBot
ChatBot is an AI chat bot software designed to provide quick and accurate AI-generated answers to customer questions on websites. It offers a range of features such as Visual Builder, Dynamic Responses, Analytics, and Solutions for various industries. The platform allows users to create their ideal chatbot without coding, powered by generative AI technology. ChatBot aims to enhance customer engagement, streamline workflows, and boost online sales through personalized interactions and automated responses.

VoiceGPT
VoiceGPT is an Android app that provides a voice-based interface to interact with AI language models like ChatGPT, Bing AI, and Bard. It offers features such as unlimited free messages, voice input and output in 67+ languages, a floating bubble for easy switching between apps, OCR text recognition, code execution, image generation with DALL-E 2, and support for ChatGPT Plus accounts. VoiceGPT is designed to be accessible for users with visual impairments, dyslexia, or other conditions, and it can be set as the default assistant to be activated hands-free with a custom hotword.

Meya
Meya is a chatbot platform that allows users to build and launch custom chatbots. It provides a variety of features, including a visual flow editor, a code editor, and a variety of integrations. Meya is designed to be easy to use, even for non-technical users. It is also highly extensible, allowing users to add their own custom code and integrations.

Glassix
Glassix is an AI-powered customer communication and messaging platform that helps businesses manage all their customer conversations from a single inbox. It offers a range of features, including a conversation routing engine, cross-channel continuity, customer conversation history, and rich media & large files sharing. Glassix also offers a visual chatbot builder that allows businesses to create automated flows coupled with Conversational AI, and deploy them to all channels with just one click. With Glassix, businesses can improve customer satisfaction, reduce operational costs, and increase efficiency.

Free ChatGPT Omni (GPT4o)
Free ChatGPT Omni (GPT4o) is a user-friendly website that allows users to effortlessly chat with ChatGPT for free. It is designed to be accessible to everyone, regardless of language proficiency or technical expertise. GPT4o is OpenAI's groundbreaking multimodal language model that integrates text, audio, and visual inputs and outputs, revolutionizing human-computer interaction. The website offers real-time audio interaction, multimodal integration, advanced language understanding, vision capabilities, improved efficiency, and safety measures.

August
August is a personal AI health assistant designed to provide direct answers to health questions, analyze lab reports and images, offer medical suggestions, and proactively check in on users' health. It aims to save time and reduce anxiety by providing tailored health information. August is not a replacement for medical advice but complements healthcare professionals' guidance. The platform prioritizes user privacy and data security, offering features like personalized nutritional planning, visual symptom checker, and medication/workout reminders.

HEAVY.AI
HEAVY.AI is a cutting-edge analytics and location intelligence platform that empowers users to make time-sensitive, high-impact decisions over vast datasets. The platform offers Conversational Analytics, enabling users to ask questions about their data in natural language and view actionable visualizations instantly. With HeavyEco, the platform also supports emergency response efforts by streamlining the management of weather events. HEAVY.AI combines interactive visual analytics, hardware-accelerated SQL, and advanced analytics & data science framework to uncover hidden opportunities and risks within enterprise datasets.

PandasAI
PandasAI is an open-source AI tool designed for conversational data analysis. It allows users to ask questions in natural language to their enterprise data and receive real-time data insights. The tool is integrated with various data sources and offers enhanced analytics, actionable insights, detailed reports, and visual data representation. PandasAI aims to democratize data analysis for better decision-making, offering enterprise solutions for stable and scalable internal data analysis. Users can also fine-tune models, ingest universal data, structure data automatically, augment datasets, extract data from websites, and forecast trends using AI.
20 - Open Source Tools

GenAIExamples
This project provides a collective list of Generative AI (GenAI) and Retrieval-Augmented Generation (RAG) examples such as chatbot with question and answering (ChatQnA), code generation (CodeGen), document summary (DocSum), etc.

InternVL
InternVL scales up the ViT to _**6B parameters**_ and aligns it with LLM. It is a vision-language foundation model that can perform various tasks, including: **Visual Perception** - Linear-Probe Image Classification - Semantic Segmentation - Zero-Shot Image Classification - Multilingual Zero-Shot Image Classification - Zero-Shot Video Classification **Cross-Modal Retrieval** - English Zero-Shot Image-Text Retrieval - Chinese Zero-Shot Image-Text Retrieval - Multilingual Zero-Shot Image-Text Retrieval on XTD **Multimodal Dialogue** - Zero-Shot Image Captioning - Multimodal Benchmarks with Frozen LLM - Multimodal Benchmarks with Trainable LLM - Tiny LVLM InternVL has been shown to achieve state-of-the-art results on a variety of benchmarks. For example, on the MMMU image classification benchmark, InternVL achieves a top-1 accuracy of 51.6%, which is higher than GPT-4V and Gemini Pro. On the DocVQA question answering benchmark, InternVL achieves a score of 82.2%, which is also higher than GPT-4V and Gemini Pro. InternVL is open-sourced and available on Hugging Face. It can be used for a variety of applications, including image classification, object detection, semantic segmentation, image captioning, and question answering.

WDoc
WDoc is a powerful Retrieval-Augmented Generation (RAG) system designed to summarize, search, and query documents across various file types. It supports querying tens of thousands of documents simultaneously, offers tailored summaries to efficiently manage large amounts of information, and includes features like supporting multiple file types, various LLMs, local and private LLMs, advanced RAG capabilities, advanced summaries, trust verification, markdown formatted answers, sophisticated embeddings, extensive documentation, scriptability, type checking, lazy imports, caching, fast processing, shell autocompletion, notification callbacks, and more. WDoc is ideal for researchers, students, and professionals dealing with extensive information sources.

awesome-generative-ai
A curated list of Generative AI projects, tools, artworks, and models

awesome-ai
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.

Korean-SAT-LLM-Leaderboard
The Korean SAT LLM Leaderboard is a benchmarking project that allows users to test their fine-tuned Korean language models on a 10-year dataset of the Korean College Scholastic Ability Test (CSAT). The project provides a platform to compare human academic ability with the performance of large language models (LLMs) on various question types to assess reading comprehension, critical thinking, and sentence interpretation skills. It aims to share benchmark data, utilize a reliable evaluation dataset curated by the Korea Institute for Curriculum and Evaluation, provide annual updates to prevent data leakage, and promote open-source LLM advancement for achieving top-tier performance on the Korean CSAT.

HuixiangDou
HuixiangDou is a **group chat** assistant based on LLM (Large Language Model). Advantages: 1. Design a two-stage pipeline of rejection and response to cope with group chat scenario, answer user questions without message flooding, see arxiv2401.08772 2. Low cost, requiring only 1.5GB memory and no need for training 3. Offers a complete suite of Web, Android, and pipeline source code, which is industrial-grade and commercially viable Check out the scenes in which HuixiangDou are running and join WeChat Group to try AI assistant inside. If this helps you, please give it a star ⭐

llava-docker
This Docker image for LLaVA (Large Language and Vision Assistant) provides a convenient way to run LLaVA locally or on RunPod. LLaVA is a powerful AI tool that combines natural language processing and computer vision capabilities. With this Docker image, you can easily access LLaVA's functionalities for various tasks, including image captioning, visual question answering, text summarization, and more. The image comes pre-installed with LLaVA v1.2.0, Torch 2.1.2, xformers 0.0.23.post1, and other necessary dependencies. You can customize the model used by setting the MODEL environment variable. The image also includes a Jupyter Lab environment for interactive development and exploration. Overall, this Docker image offers a comprehensive and user-friendly platform for leveraging LLaVA's capabilities.

ManipVQA
ManipVQA is a framework that enhances Multimodal Large Language Models (MLLMs) with manipulation-centric knowledge through a Visual Question-Answering (VQA) format. It addresses the deficiency of conventional MLLMs in understanding affordances and physical concepts crucial for manipulation tasks. By infusing robotics-specific knowledge, including tool detection, affordance recognition, and physical concept comprehension, ManipVQA improves the performance of robots in manipulation tasks. The framework involves fine-tuning MLLMs with a curated dataset of interactive objects, enabling robots to understand and execute natural language instructions more effectively.

LLMGA
LLMGA (Multimodal Large Language Model-based Generation Assistant) is a tool that leverages Large Language Models (LLMs) to assist users in image generation and editing. It provides detailed language generation prompts for precise control over Stable Diffusion (SD), resulting in more intricate and precise content in generated images. The tool curates a dataset for prompt refinement, similar image generation, inpainting & outpainting, and visual question answering. It offers a two-stage training scheme to optimize SD alignment and a reference-based restoration network to alleviate texture, brightness, and contrast disparities in image editing. LLMGA shows promising generative capabilities and enables wider applications in an interactive manner.

Phi-3-Vision-MLX
Phi-3-MLX is a versatile AI framework that leverages both the Phi-3-Vision multimodal model and the Phi-3-Mini-128K language model optimized for Apple Silicon using the MLX framework. It provides an easy-to-use interface for a wide range of AI tasks, from advanced text generation to visual question answering and code execution. The project features support for batched generation, flexible agent system, custom toolchains, model quantization, LoRA fine-tuning capabilities, and API integration for extended functionality.

CuMo
CuMo is a project focused on scaling multimodal Large Language Models (LLMs) with Co-Upcycled Mixture-of-Experts. It introduces CuMo, which incorporates Co-upcycled Top-K sparsely-gated Mixture-of-experts blocks into the vision encoder and the MLP connector, enhancing the capabilities of multimodal LLMs. The project adopts a three-stage training approach with auxiliary losses to stabilize the training process and maintain a balanced loading of experts. CuMo achieves comparable performance to other state-of-the-art multimodal LLMs on various Visual Question Answering (VQA) and visual-instruction-following benchmarks.

Grounded_3D-LLM
Grounded 3D-LLM is a unified generative framework that utilizes referent tokens to reference 3D scenes, enabling the handling of sequences that interleave 3D and textual data. It transforms 3D vision tasks into language formats through task-specific prompts, curating grounded language datasets and employing Contrastive Language-Scene Pre-training (CLASP) to bridge the gap between 3D vision and language models. The model covers tasks like 3D visual question answering, dense captioning, object detection, and language grounding.

InternGPT
InternGPT (iGPT) is a pointing-language-driven visual interactive system that enhances communication between users and chatbots by incorporating pointing instructions. It improves chatbot accuracy in vision-centric tasks, especially in complex visual scenarios. The system includes an auxiliary control mechanism to enhance the control capability of the language model. InternGPT features a large vision-language model called Husky, fine-tuned for high-quality multi-modal dialogue. Users can interact with ChatGPT by clicking, dragging, and drawing using a pointing device, leading to efficient communication and improved chatbot performance in vision-related tasks.

awesome-generative-information-retrieval
This repository contains a curated list of resources on generative information retrieval, including research papers, datasets, tools, and applications. Generative information retrieval is a subfield of information retrieval that uses generative models to generate new documents or passages of text that are relevant to a given query. This can be useful for a variety of tasks, such as question answering, summarization, and document generation. The resources in this repository are intended to help researchers and practitioners stay up-to-date on the latest advances in generative information retrieval.

OpenAI-CLIP-Feature
This repository provides code for extracting image and text features using OpenAI CLIP models, supporting both global and local grid visual features. It aims to facilitate multi visual-and-language downstream tasks by allowing users to customize input and output grid resolution easily. The extracted features have shown comparable or superior results in image captioning tasks without hyperparameter tuning. The repo supports various CLIP models and provides detailed information on supported settings and results on MSCOCO image captioning. Users can get started by setting up experiments with the extracted features using X-modaler.

DriveLM
DriveLM is a multimodal AI model that enables autonomous driving by combining computer vision and natural language processing. It is designed to understand and respond to complex driving scenarios using visual and textual information. DriveLM can perform various tasks related to driving, such as object detection, lane keeping, and decision-making. It is trained on a massive dataset of images and text, which allows it to learn the relationships between visual cues and driving actions. DriveLM is a powerful tool that can help to improve the safety and efficiency of autonomous vehicles.

prompt-in-context-learning
An Open-Source Engineering Guide for Prompt-in-context-learning from EgoAlpha Lab. 📝 Papers | ⚡️ Playground | 🛠 Prompt Engineering | 🌍 ChatGPT Prompt | ⛳ LLMs Usage Guide > **⭐️ Shining ⭐️:** This is fresh, daily-updated resources for in-context learning and prompt engineering. As Artificial General Intelligence (AGI) is approaching, let’s take action and become a super learner so as to position ourselves at the forefront of this exciting era and strive for personal and professional greatness. The resources include: _🎉Papers🎉_: The latest papers about _In-Context Learning_ , _Prompt Engineering_ , _Agent_ , and _Foundation Models_. _🎉Playground🎉_: Large language models(LLMs)that enable prompt experimentation. _🎉Prompt Engineering🎉_: Prompt techniques for leveraging large language models. _🎉ChatGPT Prompt🎉_: Prompt examples that can be applied in our work and daily lives. _🎉LLMs Usage Guide🎉_: The method for quickly getting started with large language models by using LangChain. In the future, there will likely be two types of people on Earth (perhaps even on Mars, but that's a question for Musk): - Those who enhance their abilities through the use of AIGC; - Those whose jobs are replaced by AI automation. 💎EgoAlpha: Hello! human👤, are you ready?
20 - OpenAI Gpts

Elementary School
Educational AI assistant for elementary students, focusing on English, math, social science, science, visual and performing arts, health, and physical education.

Culinary Food and Recipe Chef Companion
I pair every recipe with a visual aid for an enhanced cooking experience.

Stat Helper
I provide stats education with levels, summaries, quizzes, and visual aids for continuous learning.

Alpha Fitness and Nutrition Guide
Comprehensive fitness and nutrition guide with recipes and visuals.

Visual Storyteller
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

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

Visual Design GPT ✅ ❌
A resource for visual designers, "Principles and Pitfalls" details how to make impactful visual designs and avoid missteps.