Best AI tools for< Provide Mathematical Insights >

Math Sniper is an AI-powered application designed to provide precise math solutions, exam preparation assistance, and exploration of mathematical concepts. The app offers step-by-step solutions to math challenges at all levels, connects users with math tutors for personalized help, and covers a wide range of subjects beyond mathematics, such as biology, chemistry, physics, history, economics, and language tasks. With features like Snap & Ask for instant answers, step-by-step explanations, and a user-friendly interface, Math Sniper aims to enhance users' understanding of complex concepts and facilitate learning in various disciplines.

MathGPT is an AI math solver and calculator that provides users with the ability to solve various mathematical problems, including calculations, derivatives, and integrations. It also offers a question notebook feature and AI tutoring capabilities. Users can input mathematical expressions and equations, and MathGPT will provide step-by-step solutions and answers. The tool supports a wide range of mathematical functions and constants, making it a versatile and efficient tool for students, educators, and anyone needing assistance with math problems.

Qwen is an AI tool that focuses on developing and releasing various language models, including dense models, coding models, mathematical models, and vision language models. The Qwen family offers open-source models with different parameter ranges to cater to various user needs, such as production use, mobile applications, coding assistance, mathematical problem-solving, and visual understanding of images and videos. Qwen aims to enhance intelligence and provide smarter and more knowledgeable models for developers and users.

neoSVG is an AI-powered application that allows users to generate scalable vector graphics (SVGs) from simple text prompts. The platform utilizes state-of-the-art AI technology and Bezier curve paths with mathematical rules to create unique and high-resolution vector outputs. Users can create a variety of visuals for web design, mobile apps, print media, AR/VR applications, UI/UX designs, logos, and more. neoSVG aims to provide efficient SVG generation by leveraging powerful servers and continuous research to enhance its AI capabilities.

FaceSymAI is an online tool that utilizes advanced AI algorithms to analyze and determine the symmetry of your face. By uploading a photo, the AI examines your facial features, including the eyes, nose, mouth, and overall structure, to provide an accurate assessment of your facial symmetry. The analysis is based on mathematical and statistical methods, ensuring reliable and precise results. FaceSymAI is designed to be user-friendly and accessible, offering a free service to everyone. The uploaded photos are treated with utmost confidentiality and are not stored or used for any other purpose, ensuring your privacy is respected.

Mathly is an AI-powered homework help tool designed to assist students in learning math concepts in a better, smarter, and faster way. By leveraging artificial intelligence technology, Mathly can solve math problems, provide detailed explanations, generate practice problems, and personalize learning experiences based on the user's learning style. With Mathly, students can receive instant help with their math homework and improve their understanding of mathematical concepts.

Wolfram is a comprehensive platform that unifies algorithms, data, notebooks, linguistics, and deployment to provide a powerful computation platform. It offers a range of products and services for various industries, including education, engineering, science, and technology. Wolfram is known for its revolutionary knowledge-based programming language, Wolfram Language, and its flagship product Wolfram|Alpha, a computational knowledge engine. The platform also includes Wolfram Cloud for cloud-based services, Wolfram Engine for software implementation, and Wolfram Data Framework for real-world data analysis.

Moogle is a semantic search tool designed for mathlib4, allowing users to find theorems quickly and efficiently. It provides a user-friendly interface for searching mathematical concepts and theorems within the mathlib4 database. Moogle streamlines the process of theorem discovery by leveraging semantic search technology, making it a valuable resource for mathematicians, researchers, and students alike.

AI MathGPT is an AI-powered math tutoring tool designed to assist students and parents with math homework. It offers advanced reasoning, step-by-step solutions, and clear explanations for challenging math problems. The tool aims to boost math performance, provide 24/7 support, and enhance math learning experiences for users of all levels.

Wolfram|Alpha is a computational knowledge engine that answers questions using data, algorithms, and artificial intelligence. It can perform calculations, generate graphs, and provide information on a wide range of topics, including mathematics, science, history, and culture. Wolfram|Alpha is used by students, researchers, and professionals around the world to solve problems, learn new things, and make informed decisions.

Ogma is an interpretable symbolic general problem-solving model that utilizes a symbolic sequence modeling paradigm to address tasks requiring reliability, complex decomposition, and without hallucinations. It offers solutions in areas such as math problem-solving, natural language understanding, and resolution of uncertainty. The technology is designed to provide a structured approach to problem-solving by breaking down tasks into manageable components while ensuring interpretability and self-interpretability. Ogma aims to set benchmarks in problem-solving applications by offering a reliable and transparent methodology.

Catty.AI is an AI-driven platform that provides personalized and interactive learning experiences for children aged 2-12. It offers a wide range of captivating topics, including science, history, mathematics, and more, presented through engaging fairytales, illustrations, and narrations. Catty.AI prioritizes the well-being of children, ensuring that all content is age-appropriate, safe, and respectful of diverse cultures and beliefs.

Mathify is an AI-powered educational platform that aims to make learning accessible, engaging, and rewarding for students across various subjects. With a focus on simplifying complex concepts and personalizing learning experiences, Mathify offers interactive adventures in Mathematics, Science, History, Geography, Languages, Literature, and Social Studies. The platform leverages AI technology to provide tailored support to students, helping them conquer challenges and build a strong foundation in each subject. Mathify's mission is to ignite a passion for learning and unlock the academic potential of every learner.

Interactive Mathematics is an online platform that provides math problem-solving help, tutoring, and lessons. It offers an AI-powered math problem solver that provides step-by-step answers to math homework problems. The platform also offers on-demand math tutoring, where students can send their math problems to tutors and receive immediate help. Interactive Mathematics also provides a variety of math lessons, covering topics from basic algebra to calculus. The platform is designed to help students improve their math grades and understanding.

Photomath is the ultimate math help app designed to assist learners of all levels, from elementary through college, in understanding and solving math problems. The app provides step-by-step explanations, allows users to scan problems, offers multiple solution methods, and encourages learning through detailed explanations. Photomath aims to help users build their math skills and confidence by providing personalized math assistance anytime, anywhere. With millions of learners benefiting from its features monthly, Photomath is a valuable tool for anyone seeking math support.

MathSolver.top is an AI math solver and personalized math tutor application that offers a free platform for solving math problems with high accuracy. Users can upload math questions and receive step-by-step answers instantly. The application includes features like Homework Helper Mode, Tutor/Learner Mode, and the ability to scan/upload/copy math problems for quick solutions. It provides personalized progressive learning through AI-generated study sets and smart recommendations for daily tasks. MathSolver aims to enhance math learning by offering a user-friendly interface and efficient problem-solving capabilities.

Maths.ai is an AI-powered online math tutor that aims to make learning math cool and engaging. It provides step-by-step explanations to help users master various math topics from arithmetic to calculus. The platform offers personalized learning experiences, 24/7 availability, and access to AI-powered assistance for students worldwide. Maths.ai is designed to help students of all levels improve their math skills in a judgment-free and affordable environment.

AI Times Tables is an AI multiplication learning helper that offers free printable multiplication charts and worksheets. It provides a convenient way for students to practice multiplication skills and for teachers or parents to assess mastery of fundamental concepts. The application is designed to enhance math learning journeys for children from Kindergarten to 4th Grade, with customizable use recommendations to suit individual learning paces.

AI Subtraction Learning Helper is an AI tool designed to assist students in learning subtraction through printable subtraction tables, charts, and worksheets. The application provides free resources in various formats, including PDF and JPG, to enhance math learning for children from Kindergarten to 4th Grade. It offers colored subtraction charts, number decomposition solutions, and subtraction games to make learning engaging and effective. Parents and teachers can use the tool to customize practice sessions and track students' progress in mastering fundamental subtraction concepts.

DeepSeek R1 is a revolutionary open-source AI model for advanced reasoning that outperforms leading AI models in mathematics, coding, and general reasoning tasks. It utilizes a sophisticated MoE architecture with 37B active/671B total parameters and 128K context length, incorporating advanced reinforcement learning techniques. DeepSeek R1 offers multiple variants and distilled models optimized for complex problem-solving, multilingual understanding, and production-grade code generation. It provides cost-effective pricing compared to competitors like OpenAI o1, making it an attractive choice for developers and enterprises.

This repository is a collection of papers focused on understanding the internal mechanism of large language models (LLM). It includes research on topics such as how LLMs handle multilingualism, learn in-context, and handle factual associations. The repository aims to provide insights into the inner workings of transformer-based language models through a curated list of papers and surveys.

This repository does not provide a tool, but rather a collection of resources and strategies for academics in the field of artificial intelligence who are feeling depressed or overwhelmed by the rapid advancements in the field. The resources include articles, blog posts, and other materials that offer advice on how to cope with the challenges of working in a fast-paced and competitive environment.

ABigSurveyOfLLMs is a repository that compiles surveys on Large Language Models (LLMs) to provide a comprehensive overview of the field. It includes surveys on various aspects of LLMs such as transformers, alignment, prompt learning, data management, evaluation, societal issues, safety, misinformation, attributes of LLMs, efficient LLMs, learning methods for LLMs, multimodal LLMs, knowledge-based LLMs, extension of LLMs, LLMs applications, and more. The repository aims to help individuals quickly understand the advancements and challenges in the field of LLMs through a collection of recent surveys and research papers.

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

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 related to tool learning with large language models (LLMs). The papers are organized according to the survey paper 'Tool Learning with Large Language Models: A Survey'. The survey focuses on the benefits and implementation of tool learning with LLMs, covering aspects such as task planning, tool selection, tool calling, response generation, benchmarks, evaluation, challenges, and future directions in the field. It aims to provide a comprehensive understanding of tool learning with LLMs and inspire further exploration in this emerging area.

This repository contains a comprehensive collection of 63 must-know Large Language Models (LLMs) interview questions. It covers topics such as the architecture of LLMs, transformer models, attention mechanisms, training processes, encoder-decoder frameworks, differences between LLMs and traditional statistical language models, handling context and long-term dependencies, transformers for parallelization, applications of LLMs, sentiment analysis, language translation, conversation AI, chatbots, and more. The readme provides detailed explanations, code examples, and insights into utilizing LLMs for various tasks.

llm_benchmarks is a collection of benchmarks and datasets for evaluating Large Language Models (LLMs). It includes various tasks and datasets to assess LLMs' knowledge, reasoning, language understanding, and conversational abilities. The repository aims to provide comprehensive evaluation resources for LLMs across different domains and applications, such as education, healthcare, content moderation, coding, and conversational AI. Researchers and developers can leverage these benchmarks to test and improve the performance of LLMs in various real-world scenarios.

This repository contains frontier research on explainable AI (XAI), a hot topic in the field of artificial intelligence. It includes trends, use cases, survey papers, books, open courses, papers, and Python libraries related to XAI. The repository aims to organize and categorize publications on XAI, provide evaluation methods, and list various Python libraries for explainable AI.

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.

The `vectara-agentic` Python library is designed for developing powerful AI assistants using Vectara and Agentic-RAG. It supports various agent types, includes pre-built tools for domains like finance and legal, and enables easy creation of custom AI assistants and agents. The library provides tools for summarizing text, rephrasing text, legal tasks like summarizing legal text and critiquing as a judge, financial tasks like analyzing balance sheets and income statements, and database tools for inspecting and querying databases. It also supports observability via LlamaIndex and Arize Phoenix integration.

LLM-PowerHouse is a comprehensive and curated guide designed to empower developers, researchers, and enthusiasts to harness the true capabilities of Large Language Models (LLMs) and build intelligent applications that push the boundaries of natural language understanding. This GitHub repository provides in-depth articles, codebase mastery, LLM PlayLab, and resources for cost analysis and network visualization. It covers various aspects of LLMs, including NLP, models, training, evaluation metrics, open LLMs, and more. The repository also includes a collection of code examples and tutorials to help users build and deploy LLM-based applications.

LangChain for Swift. Optimized for iOS, macOS, watchOS (part) and visionOS.(beta) This is a pure client library, no server required

InternLM is a powerful language model series with features such as 200K context window for long-context tasks, outstanding comprehensive performance in reasoning, math, code, chat experience, instruction following, and creative writing, code interpreter & data analysis capabilities, and stronger tool utilization capabilities. It offers models in sizes of 7B and 20B, suitable for research and complex scenarios. The models are recommended for various applications and exhibit better performance than previous generations. InternLM models may match or surpass other open-source models like ChatGPT. The tool has been evaluated on various datasets and has shown superior performance in multiple tasks. It requires Python >= 3.8, PyTorch >= 1.12.0, and Transformers >= 4.34 for usage. InternLM can be used for tasks like chat, agent applications, fine-tuning, deployment, and long-context inference.

A collection of papers related to knowledge distillation of large language models (LLMs). The repository focuses on techniques to transfer advanced capabilities from proprietary LLMs to smaller models, compress open-source LLMs, and refine their performance. It covers various aspects of knowledge distillation, including algorithms, skill distillation, verticalization distillation in fields like law, medical & healthcare, finance, science, and miscellaneous domains. The repository provides a comprehensive overview of the research in the area of knowledge distillation of LLMs.

ML/DL expert focused on mathematical modeling, Kaggle competitions, and advanced ML models.

Emulating Whitehead's insights on 'Process and Reality'

Mentor de Matemáticas con enfoque en conocimiento profundo y rigor científico.

A specialized GPT for calculus assistance, educational and clear.

Friendly math teacher with a humorous approach.

提供准确的数学建模和Python编程指导。正版请加QQ群购买：487877204 ，可提供增值数模技术服务。

Hướng dẫn giải toán, không cung cấp đáp án ngay

Helps you with better math solution

un professeur de mathématiques appliquées aidant les étudiants de niveaux avancés. Ce GPT offre un soutien en mathématiques appliquées, couvrant des sujets variés et fournissant des applications pratiques.

provide a number ,you will find the answer

Provide a prompt followed by multiple participant responses from chatHub delimited by name, or a list of phrase pairs to combine.

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Spiritual Advisor (1917 Tanakh) draws from the 1917 Tanakh to provide advise and guidance on all of life's difficulties.

Provide your topics, and receive formal, academic assistance in crafting research titles.

Provide TOPIC & different views to compare: Gateway to Informed Comparisons. Harness AI-powered insights to analyze and score different viewpoints on any topic, delivering balanced, data-driven perspectives for smarter decision-making.

Provide a Topic and an Audience and we'll help you create 1. Course description 2. Outline 3. Learning Outcomes 5. Skills-Knowledge-Attitude objectives 5. Key points per lesson

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Provide some Traditional Chinese Medicine(中医) advice. For educational purposes only, not to be used for actual treatment.

Provide a URL and this tool will provide you with 5 quick on-page optimisations to help web rankings and boost traffic.

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