Best AI tools for< Solve Example Problems >

BugFree.ai is an AI-powered platform designed to help users practice system design and behavior interviews, similar to Leetcode. The platform offers a range of features to assist users in preparing for technical interviews, including mock interviews, real-time feedback, and personalized study plans. With BugFree.ai, users can improve their problem-solving skills and gain confidence in tackling complex interview questions.

AI Homework Helper is an innovative platform powered by artificial intelligence technology, designed to assist students with their homework assignments across various subjects. Our AI Homework Helper analyzes students’ homework requirements and generates customized solutions, including step-by-step explanations, relevant examples, and problem-solving strategies. Our platform features a user-friendly interface that makes it easy for students to navigate and access the assistance they need, without any technical hassles.

CapSolver is an AI-powered captcha solving service that offers seamless automatic captcha solving through its Auto Web Unblock technology. The platform provides solutions for various captchas, including reCAPTCHA v2, reCAPTCHA v3, Geetest, ImageToText, and Cloudflare Turnstile. CapSolver ensures easy integration with multiple language support and ready-to-use code examples, making it effortless to incorporate into web projects. The service also offers browser extensions for image recognition and OCR tasks, along with customizable service plans for different user needs. CapSolver is trusted by numerous companies for its reliability, flexibility, and high-quality captcha solving capabilities.

Solve Intelligence is an AI-powered platform designed to assist legal professionals in writing high-quality patents efficiently. The platform offers an in-browser document editor that leverages generative AI to streamline the patent drafting process. With a focus on security and confidentiality, Solve Intelligence ensures that all data is encrypted and not used for AI model training. Trusted by IP teams globally, the platform enables users to customize their drafting style and increase the efficiency of their IP team.

Solve For X is an AI tool that empowers growth stage organizations by leveraging AI and data solutions to enhance operations, efficiency, and decision-making. The platform offers AI consulting services, data analysis and reporting, automation solutions, and custom AI models to help organizations achieve measurable impact and value through seamlessly integrated AI technologies. With a focus on empowering businesses with innovative AI solutions, Solve For X aims to help organizations successfully implement AI and data solutions into their operations by 2028.

Whimsical is an iterative workspace designed for product teams to collaborate effectively. It offers a range of tools such as flowcharts, wireframes, mind maps, and documentation features to streamline the product development process. With Whimsical AI, users can generate flowcharts and mind maps instantly. The platform aims to provide clarity, shared understanding, and a single source of truth for every project, enabling teams to solve product challenges efficiently from one workspace.

NuMind is an AI tool designed to solve information extraction tasks efficiently. It offers high-quality lightweight models tailored to users' needs, automating classification, entity recognition, and structured extraction. The tool is powered by task-specific and domain-agnostic foundation models, outperforming GPT-4 and similar models. NuMind provides solutions for various industries such as insurance and healthcare, ensuring privacy, cost-effectiveness, and faster NLP projects.

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.

Subscribr is an AI tool designed exclusively for YouTube scriptwriting, aiming to revolutionize the script creation process by providing fast ideation, high-quality research, scriptwriting on easy mode, instant feedback, and the ability to remix proven viral videos. Founded by Gil Hildebrand, Subscribr addresses the common challenges faced by content creators on YouTube, offering a solution that streamlines the scriptwriting workflow and enhances the overall quality of video content.

SadCaptcha is an AI-powered tool designed to solve TikTok Captcha challenges efficiently. It offers a fast, accurate, and simple solution to bypass the puzzle slide, image rotate, and 3D shapes challenges on TikTok. The tool provides a Python client for easy integration and works with any programming language. With a high success rate and instant response using advanced AI computer vision algorithms, SadCaptcha helps users automate TikTok tasks without barriers.

MyMathSolver.ai is an AI math solver powered by Math GPT models like GPT-4o, providing comprehensive assistance across various math topics. Users can easily access detailed, step-by-step solutions to complex math problems using versatile input methods such as text, images, PDFs, or CSV files. The platform offers interactive problem-solving through a math AI bot and ensures accessibility on various devices and operating systems. With features like math AI bot, math solver online free access, and math GPT for advanced solutions, MyMathSolver.ai transforms the learning journey for students and math enthusiasts.

Open Tutor App is an AI-powered Homework Helper designed to assist students in solving homework questions efficiently. The app allows users to take a photo of their homework, which is then analyzed by AI to provide step-by-step solutions and explanations. With features like scanning and solving homework questions, Open Tutor App aims to enhance learning experiences and boost academic performance. The application is available for download on Google Play, App Store, and Web platforms.

Math.now is a free online math AI solver powered by Math GPT, offering instant, step-by-step solutions for a wide range of mathematical problems. Users can input math problems or upload photos for analysis, interact with the math AI bot for explanations, and receive real-time assistance. The application supports algebra, geometry, calculus, and word problems, providing detailed guidance and personalized learning experiences. Math.now's AI solver ensures accuracy, efficiency, and accessibility for students, educators, and self-learners.

Meta AI is a research lab dedicated to advancing the field of artificial intelligence. Our mission is to build foundational AI technologies that will solve some of the world's biggest challenges, such as climate change, disease, and poverty.

Google.org is a philanthropic organization that aims to bring the best of Google to help solve humanity's biggest challenges. They combine funding, innovation, and technical expertise to support underserved communities and provide opportunities for everyone. The organization focuses on using AI to address various issues, such as increasing college graduation rates, supporting robotics programs for middle schoolers, and funding projects that align with the UN's Sustainable Development Goals. Google.org is committed to making long-term investments in social impact initiatives, including racial justice and COVID-19 relief efforts. They collaborate with innovative nonprofits and social enterprises to amplify their impact using Google's resources.

The Institute for Protein Design is a research institute at the University of Washington that uses computational design to create new proteins that solve modern challenges in medicine, technology, and sustainability. The institute's research focuses on developing new protein therapeutics, vaccines, drug delivery systems, biological devices, self-assembling nanomaterials, and bioactive peptides. The institute also has a strong commitment to responsible AI development and has developed a set of principles to guide its use of AI in research.

Go Legal AI is the UK's #1 Consumer Legal Tech Platform offering online legal services, support, and advice from top lawyers. The platform provides free lawyer consultations, generates legal documents 10x faster with award-winning Legal AI, reviews legal documents 90% faster, and offers expert advice from top lawyers and service providers at discounted rates. Users can get instant answers 24/7, collaborate and sign documents, monitor supply chain risks with instant alerts, and save money with exclusive deals from partners. The platform caters to both individuals and businesses, providing smart templates, risk & insolvency tracking, business health checks, legal insights, how-to guides, and glossaries.

TutorEva is an AI-powered homework helper and tutor designed to assist college students in various subjects. The platform leverages artificial intelligence to provide personalized learning experiences, answer questions, and offer guidance on assignments. With TutorEva, students can access academic support anytime, anywhere, making learning more efficient and effective.

Interview Solver is a desktop application that acts as your copilot during coding interviews, providing instant solutions to LeetCode problems and system design questions. It features screengrabbing capabilities, one-shot solutions, query selected text functionality, global hotkeys, and syntax highlighting for all major languages. Interview Solver is designed to give you an AI advantage during live interviews, helping you land your dream job.

Solvely is an all-in-one AI homework helper that provides step-by-step solutions for all courses, from K12 to Graduate school. It covers a wide range of subjects, from STEM to Liberal Arts, and offers detailed explanations to help users understand complex problems. With a high accuracy rate and a user-friendly interface, Solvely aims to make learning and problem-solving easier for students, parents, and teachers worldwide.

LLM Reasoners is a library that enables LLMs to conduct complex reasoning, with advanced reasoning algorithms. It approaches multi-step reasoning as planning and searches for the optimal reasoning chain, which achieves the best balance of exploration vs exploitation with the idea of "World Model" and "Reward". Given any reasoning problem, simply define the reward function and an optional world model (explained below), and let LLM reasoners take care of the rest, including Reasoning Algorithms, Visualization, LLM calling, and more!

Graph of Thoughts (GoT) is an official implementation framework designed to solve complex problems by modeling them as a Graph of Operations (GoO) executed with a Large Language Model (LLM) engine. It offers flexibility to implement various approaches like CoT or ToT, allowing users to solve problems using the new GoT approach. The framework includes setup guides, quick start examples, documentation, and examples for users to understand and utilize the tool effectively.

DB-GPT is a personal database administrator that can solve database problems by reading documents, using various tools, and writing analysis reports. It is currently undergoing an upgrade. **Features:** * **Online Demo:** * Import documents into the knowledge base * Utilize the knowledge base for well-founded Q&A and diagnosis analysis of abnormal alarms * Send feedbacks to refine the intermediate diagnosis results * Edit the diagnosis result * Browse all historical diagnosis results, used metrics, and detailed diagnosis processes * **Language Support:** * English (default) * Chinese (add "language: zh" in config.yaml) * **New Frontend:** * Knowledgebase + Chat Q&A + Diagnosis + Report Replay * **Extreme Speed Version for localized llms:** * 4-bit quantized LLM (reducing inference time by 1/3) * vllm for fast inference (qwen) * Tiny LLM * **Multi-path extraction of document knowledge:** * Vector database (ChromaDB) * RESTful Search Engine (Elasticsearch) * **Expert prompt generation using document knowledge** * **Upgrade the LLM-based diagnosis mechanism:** * Task Dispatching -> Concurrent Diagnosis -> Cross Review -> Report Generation * Synchronous Concurrency Mechanism during LLM inference * **Support monitoring and optimization tools in multiple levels:** * Monitoring metrics (Prometheus) * Flame graph in code level * Diagnosis knowledge retrieval (dbmind) * Logical query transformations (Calcite) * Index optimization algorithms (for PostgreSQL) * Physical operator hints (for PostgreSQL) * Backup and Point-in-time Recovery (Pigsty) * **Continuously updated papers and experimental reports** This project is constantly evolving with new features. Don't forget to star ⭐ and watch 👀 to stay up to date.

agentUniverse is a multi-agent framework based on large language models, providing flexible capabilities for building individual agents. It focuses on multi-agent collaborative patterns, integrating domain experience to help agents solve problems in various fields. The framework includes pattern components like PEER and DOE for event interpretation, industry analysis, and financial report generation. It offers features for agent construction, multi-agent collaboration, and domain expertise integration, aiming to create intelligent applications with professional know-how.

Labelbox is a data-centric AI platform for enterprises to develop, optimize, and use AI to solve problems and power new products and services. Enterprises use Labelbox to curate data, generate high-quality human feedback data for computer vision and LLMs, evaluate model performance, and automate tasks by combining AI and human-centric workflows. The academic & research community uses Labelbox for cutting-edge AI research.

AgentKit is a framework for creating and orchestrating AI Agents, enabling developers to build, test, and deploy reliable AI applications at scale. It allows for creating networked agents with separate tasks and instructions to solve specific tasks, as well as simple agents for tasks like writing content. The framework requires the Inngest TypeScript SDK as a dependency and provides documentation on agents, tools, network, state, and routing. Example projects showcase AgentKit in action, such as the Test Writing Network demo using Workflow Kit, Supabase, and OpenAI.

SciMLBenchmarks.jl holds webpages, pdfs, and notebooks showing the benchmarks for the SciML Scientific Machine Learning Software ecosystem, including: * Benchmarks of equation solver implementations * Speed and robustness comparisons of methods for parameter estimation / inverse problems * Training universal differential equations (and subsets like neural ODEs) * Training of physics-informed neural networks (PINNs) * Surrogate comparisons, including radial basis functions, neural operators (DeepONets, Fourier Neural Operators), and more The SciML Bench suite is made to be a comprehensive open source benchmark from the ground up, covering the methods of computational science and scientific computing all the way to AI for science.

Agentless is an open-source tool designed for automatically solving software development problems. It follows a two-phase process of localization and repair to identify faults in specific files, classes, and functions, and generate candidate patches for fixing issues. The tool is aimed at simplifying the software development process by automating issue resolution and patch generation.

Fabric is an open-source framework for augmenting humans using AI. It provides a structured approach to breaking down problems into individual components and applying AI to them one at a time. Fabric includes a collection of pre-defined Patterns (prompts) that can be used for a variety of tasks, such as extracting the most interesting parts of YouTube videos and podcasts, writing essays, summarizing academic papers, creating AI art prompts, and more. Users can also create their own custom Patterns. Fabric is designed to be easy to use, with a command-line interface and a variety of helper apps. It is also extensible, allowing users to integrate it with their own AI applications and infrastructure.

MAVIS (Math Visual Intelligent System) is an AI-driven application that allows users to analyze visual data such as images and generate interactive answers based on them. It can perform complex mathematical calculations, solve programming tasks, and create professional graphics. MAVIS supports Python for coding and frameworks like Matplotlib, Plotly, Seaborn, Altair, NumPy, Math, SymPy, and Pandas. It is designed to make projects more efficient and professional.

ChatGPT Queue Prompts is a collection of prompt chains designed to enhance interactions with large language models like ChatGPT. These prompt chains help build context for the AI before performing specific tasks, improving performance. Users can copy and paste prompt chains into the ChatGPT Queue extension to process prompts in sequence. The repository includes example prompt chains for tasks like conducting AI company research, building SEO optimized blog posts, creating courses, revising resumes, enriching leads for CRM, personal finance document creation, workout and nutrition plans, marketing plans, and more.

wcgw is a shell and coding agent designed for Claude and Chatgpt. It provides full shell access with no restrictions, desktop control on Claude for screen capture and control, interactive command handling, large file editing, and REPL support. Users can use wcgw to create, execute, and iterate on tasks, such as solving problems with Python, finding code instances, setting up projects, creating web apps, editing large files, and running server commands. Additionally, wcgw supports computer use on Docker containers for desktop control. The tool can be extended with a VS Code extension for pasting context on Claude app and integrates with Chatgpt for custom GPT interactions.

This repository contains an assistant proposal for the Semantic Kernel, allowing the usage of assistants without relying on OpenAI Assistant APIs. It runs locally planners and plugins for the assistants, providing scenarios like Assistant with Semantic Kernel plugins, Multi-Assistant conversation, and AutoGen conversation. The Semantic Kernel is a lightweight SDK enabling integration of AI Large Language Models with conventional programming languages, offering functions like semantic functions, native functions, and embeddings-based memory. Users can bring their own model for the assistants and host them locally. The repository includes installation instructions, usage examples, and information on creating new conversation threads with the assistant.

TypeChat is a library that simplifies the creation of natural language interfaces using types. Traditionally, building natural language interfaces has been challenging, often relying on complex decision trees to determine intent and gather necessary inputs for action. Large language models (LLMs) have simplified this process by allowing us to accept natural language input from users and match it to intent. However, this has introduced new challenges, such as the need to constrain the model's response for safety, structure responses from the model for further processing, and ensure the validity of the model's response. Prompt engineering aims to address these issues, but it comes with a steep learning curve and increased fragility as the prompt grows in size.

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.

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.

wdoc is a powerful Retrieval-Augmented Generation (RAG) system designed to summarize, search, and query documents across various file types. It aims to handle large volumes of diverse document types, making it ideal for researchers, students, and professionals dealing with extensive information sources. wdoc uses LangChain to process and analyze documents, supporting tens of thousands of documents simultaneously. The system includes features like high recall and specificity, support for various Language Model Models (LLMs), advanced RAG capabilities, advanced document summaries, and support for multiple tasks. It offers markdown-formatted answers and summaries, customizable embeddings, extensive documentation, scriptability, and runtime type checking. wdoc is suitable for power users seeking document querying capabilities and AI-powered document summaries.

Phidata is a framework for building AI Assistants with memory, knowledge, and tools. It enables LLMs to have long-term conversations by storing chat history in a database, provides them with business context by storing information in a vector database, and enables them to take actions like pulling data from an API, sending emails, or querying a database. Memory and knowledge make LLMs smarter, while tools make them autonomous.

Dwata is a desktop application that allows users to chat with any AI model and gain insights from their data. Chats are organized into threads, similar to Discord, with each thread connecting to a different AI model. Dwata can connect to databases, APIs (such as Stripe), or CSV files and send structured data as prompts when needed. The AI's response will often include SQL or Python code, which can be used to extract the desired insights. Dwata can validate AI-generated SQL to ensure that the tables and columns referenced are correct and can execute queries against the database from within the application. Python code (typically using Pandas) can also be executed from within Dwata, although this feature is still in development. Dwata supports a range of AI models, including OpenAI's GPT-4, GPT-4 Turbo, and GPT-3.5 Turbo; Groq's LLaMA2-70b and Mixtral-8x7b; Phind's Phind-34B and Phind-70B; Anthropic's Claude; and Ollama's Llama 2, Mistral, and Phi-2 Gemma. Dwata can compare chats from different models, allowing users to see the responses of multiple models to the same prompts. Dwata can connect to various data sources, including databases (PostgreSQL, MySQL, MongoDB), SaaS products (Stripe, Shopify), CSV files/folders, and email (IMAP). The desktop application does not collect any private or business data without the user's explicit consent.

Strict JSON is a framework designed to handle JSON outputs with complex structures, fixing issues that standard json.loads() cannot resolve. It provides functionalities for parsing LLM outputs into dictionaries, supporting various data types, type forcing, and error correction. The tool allows easy integration with OpenAI JSON Mode and offers community support through tutorials and discussions. Users can download the package via pip, set up API keys, and import functions for usage. The tool works by extracting JSON values using regex, matching output values to literals, and ensuring all JSON fields are output by LLM with optional type checking. It also supports LLM-based checks for type enforcement and error correction loops.

Offers detailed explanations of economic theories, guidance on microeconomic principles, example problems and solutions, and insights into real-world economic scenarios.

I finish student assignments with precision from diploma to master level. Start by giving me your course(example diploma in accounting,) , course subject, theory involved, framework used, the question.

给出你的示例代码

Powered by GPT-4 Turbo. 128,000 Tokens. Knowledge base of Discrete Math concepts, proofs and terminology. This GPT is instructed to carefully read and understand the prompt, plan a strategy to solve the problem, and write formal mathematical proofs.

Explains mental models with examples, inspired by thinkers like Charlie Munger.

Friendly C# guide with code examples, in easy Korean. 쉬운 한국어로 작성된 코드 예제가 포함된 친절한 C# 가이드입니다.

Engaging tutor with humor and real-world examples

Friendly ILP (Inductive Logic Programming) expert, engaging and supportive. Give examples in form of pos(...) and neg(...) examples.

I teach Rust with examples and humor.

Experto en cálculo, límites, ecuaciones diferenciales y desigualdades, interactúo activamente para asegurar la comprensión del usuario.

Academic guide in BCom subjects, focusing on clear, detailed explanations.

HSC Geography AI Tutor

Explains math with Zelda and Fortnite examples

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.

This GPT is great for getting assistance in solving exam questions in Programmering - fördjupningskurs at Lunds Tekniska Högskola

Solve Medical Mysteries!

Mysteries to solve in every spoonful

Solve situation puzzles with GPT 海龟汤助手

A detective game simulator, using real-world events and local knowledge to solve a crime mystery..

Solve problems at front-end applications development - AI 100% PRO - 500+ Guides trainer