Best AI tools for< Solve Integrals >

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.

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.

Capsolver is an AI-powered captcha solving service that offers seamless automatic captcha solving through its Auto Web Unblock technology. It supports various captcha types such as reCAPTCHA v2/v3/Enterprise, hCaptcha, Geetest, ImageToText, and more. Capsolver provides browser extensions for solving image recognition and OCR captchas, along with offering pricing packages for different captcha solving solutions. The application is designed to simplify captcha solving processes for web projects with multiple language support and ready-to-use code examples.

TutorEva is an AI-powered homework helper and tutor designed to assist college students with various subjects. It offers features such as AI homework solving, essay writing, course material integration, problem-solving, and personalized tutoring. With cutting-edge AI technology, TutorEva provides accurate solutions and explanations to help students excel in their academic endeavors.

College Tools is an AI-powered homework solver that provides instant, expert help to students. It can answer questions from any website, including those without specialized support, and is fully integrated with Learning Management Systems (LMS) such as McGraw Hill Connect, Blackboard, Canvas, Smartbook, Moodle, and many others. College Tools also offers advanced recognition features that allow users to capture and analyze graphs and image-based questions, and provides detailed step-by-step guidance for each question. The tool is designed to help students improve their understanding and academic results.

Zeda.io is an AI-powered product management software that focuses on Voice of Customer (VoC) analysis. It helps product teams collect, analyze, and act on customer feedback to build products that align with customer needs and drive revenue. The platform offers features such as capturing and centralizing feedback from multiple channels, leveraging AI for product insights, integrating with various tools, generating AI insight reports, and validating ideas faster. Zeda.io aims to streamline the product discovery process by providing actionable insights and facilitating collaboration among cross-functional teams.

Beloga is a knowledge operating system (OS) for teams that instantly unifies tools and information, boosting productivity through seamless collaboration and real-time search. It uses AI to deliver precise, actionable insights from team data, enabling quick, informed decision-making. Beloga streamlines team workflows into a single platform, eliminating app-switching and enhancing collaboration and efficiency. It also offers multi-source integration, allowing users to easily compare and integrate data from multiple sources, revealing hidden insights. Beloga's features include hyper-contextualized key insights, seamless integration, cross-referencing made easy, and instant access to the information you need.

SendPulse offers AI chatbots for messengers that can provide automated responses and help users solve a wide range of tasks. These chatbots are powered by GPT-3 technology from OpenAI, which allows them to generate text and code, and simulate human managers. You can use these chatbots in Telegram, Facebook Messenger, Instagram, and WhatsApp. They can be configured to pause when a manager joins the chat, and you can provide instructions for the AI operation by adding plain text. No coding skills are required.

Gaspar AI is an AI application that offers AI support solutions for businesses. It uses Generative AI to automate tasks, streamline operations, and provide instant answers to employee helpdesk issues. The platform integrates seamlessly with popular chat platforms like Slack, MS Teams, and Jira, enhancing employee experience and productivity. Gaspar AI aims to reduce manual work by 80%, optimize knowledge management, and accelerate approval processes, making it a valuable tool for companies looking to boost efficiency and customer satisfaction.

Cortex Labs is a decentralized world computer that enables AI and AI-powered decentralized applications (dApps) to run on the blockchain. It offers a Layer2 solution called ZkMatrix, which utilizes zkRollup technology to enhance transaction speed and reduce fees. Cortex Virtual Machine (CVM) supports on-chain AI inference using GPU, ensuring deterministic results across computing environments. Cortex also enables machine learning in smart contracts and dApps, fostering an open-source ecosystem for AI researchers and developers to share models. The platform aims to solve the challenge of on-chain machine learning execution efficiently and deterministically, providing tools and resources for developers to integrate AI into blockchain applications.

Kahoa is an AI consulting service that helps businesses integrate cutting-edge technology to solve their biggest challenges. With over 28 years of experience, Kahoa provides clear, actionable AI solutions tailored to align with business goals. They simplify the complexities of AI, offering guidance from strategy to execution, ensuring measurable results and a competitive edge.

Zenbots is a Zendesk AI chatbot that provides dedicated Zendesk support with access to all of your Zendesk support articles. It is designed to speed up operations, assist agents, or even let customers solve problems on their own. Zenbots can be integrated into existing workflows with just a few clicks and can be set up in under 24 hours. It offers a free 7-day trial.

Fini is an AI application that turns your knowledge base into an AI chat in just 2 minutes. It helps businesses supercharge their customer support by resolving 70% of customer questions with AI agents, saving costs, and keeping customers happy. Fini securely integrates with private data and provides AI agents ready 24/7 to solve customer queries on platforms like Zendesk, Slack, and Discord. It also helps growth teams at PLG companies identify reasons for churn and deliver personalized experiences to retain existing customers.

Airfocus is a strategic product management platform that helps teams manage strategy, understand user needs, prioritize, and align around clear roadmaps. It is a modular platform that can be customized to fit the unique needs of each team. Airfocus offers a variety of features, including OKR tracking, roadmap planning, prioritization, feedback collection, and user engagement. It also integrates with a variety of other tools, such as Jira, Trello, and Asana.

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.

Devv AI is an AI tool designed for developers, offering unlimited access to top models like GPT-4 and other advanced features. It serves as the next-gen search engine for developers, providing enhanced search capabilities and features to streamline the development process. With Devv AI, users can unlock advanced models, access more search modes, and maintain a search history for improved productivity and efficiency.

Numberly is a free online math assistant that helps you solve equations, perform conversions, and check your calculations as you type. It integrates with your favorite websites and apps, so you can use it anywhere you need to do math. Numberly is perfect for students, professionals, and anyone who wants to make math easier.

Math.bot is an advanced AI math solver powered by GPT-4o, offering fast and accurate solutions to a wide range of math problems. The platform integrates leading technologies like Microsoft Math Solver, providing free and user-friendly services accessible via web and mobile apps. Users can solve math equations and word problems with detailed step-by-step guidance, upload math problems for instant AI-assisted solutions, and engage with an interactive ChatGPT math solver for dynamic learning experiences.

Apex Vision AI is an AI-powered homework helper that provides instant answers and assistance to college students. It utilizes advanced machine learning algorithms to generate accurate answers for multiple-choice homework and quizzes, saving students time and boosting their confidence. The extension seamlessly integrates into the user's browser, offering real-time answers with a click or keyboard shortcut. Its user-friendly interface and intuitive design make it easy for students to use, helping them study smarter and not harder.

AI Interview Copilot is the ultimate AI-powered job interview assistant that provides voice transcription, image and screenshot recognition, easy management, accurate answers, and algorithm problem-solving capabilities. It supports 57 languages and offers seamless integration with various devices for a stress-free interview experience. The application aims to assist users in tackling technical interview questions, providing quick responses, and generating code snippets in real-time.

The 100 Days in AI repository provides a comprehensive roadmap for individuals to learn Artificial Intelligence over a period of 100 days. It covers topics ranging from basic programming in Python to advanced concepts in AI, including machine learning, deep learning, and specialized AI topics. The repository includes daily tasks, resources, and exercises to ensure a structured learning experience. By following this roadmap, users can gain a solid understanding of AI and be prepared to work on real-world AI projects.

The LLM course is divided into three parts: 1. 🧩 **LLM Fundamentals** covers essential knowledge about mathematics, Python, and neural networks. 2. 🧑‍🔬 **The LLM Scientist** focuses on building the best possible LLMs using the latest techniques. 3. 👷 **The LLM Engineer** focuses on creating LLM-based applications and deploying them. For an interactive version of this course, I created two **LLM assistants** that will answer questions and test your knowledge in a personalized way: * 🤗 **HuggingChat Assistant**: Free version using Mixtral-8x7B. * 🤖 **ChatGPT Assistant**: Requires a premium account. ## 📝 Notebooks A list of notebooks and articles related to large language models. ### Tools | Notebook | Description | Notebook | |----------|-------------|----------| | 🧐 LLM AutoEval | Automatically evaluate your LLMs using RunPod |  | | 🥱 LazyMergekit | Easily merge models using MergeKit in one click. |  | | 🦎 LazyAxolotl | Fine-tune models in the cloud using Axolotl in one click. |  | | ⚡ AutoQuant | Quantize LLMs in GGUF, GPTQ, EXL2, AWQ, and HQQ formats in one click. |  | | 🌳 Model Family Tree | Visualize the family tree of merged models. |  | | 🚀 ZeroSpace | Automatically create a Gradio chat interface using a free ZeroGPU. |  |

KnowAgent is a tool designed for Knowledge-Augmented Planning for LLM-Based Agents. It involves creating an action knowledge base, converting action knowledge into text for model understanding, and a knowledgeable self-learning phase to continually improve the model's planning abilities. The tool aims to enhance agents' potential for application in complex situations by leveraging external reservoirs of information and iterative processes.

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.

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.

Mentals AI is a tool designed for creating and operating agents that feature loops, memory, and various tools, all through straightforward markdown syntax. This tool enables you to concentrate solely on the agent’s logic, eliminating the necessity to compose underlying code in Python or any other language. It redefines the foundational frameworks for future AI applications by allowing the creation of agents with recursive decision-making processes, integration of reasoning frameworks, and control flow expressed in natural language. Key concepts include instructions with prompts and references, working memory for context, short-term memory for storing intermediate results, and control flow from strings to algorithms. The tool provides a set of native tools for message output, user input, file handling, Python interpreter, Bash commands, and short-term memory. The roadmap includes features like a web UI, vector database tools, agent's experience, and tools for image generation and browsing. The idea behind Mentals AI originated from studies on psychoanalysis executive functions and aims to integrate 'System 1' (cognitive executor) with 'System 2' (central executive) to create more sophisticated agents.

AIlice is a fully autonomous, general-purpose AI agent that aims to create a standalone artificial intelligence assistant, similar to JARVIS, based on the open-source LLM. AIlice achieves this goal by building a "text computer" that uses a Large Language Model (LLM) as its core processor. Currently, AIlice demonstrates proficiency in a range of tasks, including thematic research, coding, system management, literature reviews, and complex hybrid tasks that go beyond these basic capabilities. AIlice has reached near-perfect performance in everyday tasks using GPT-4 and is making strides towards practical application with the latest open-source models. We will ultimately achieve self-evolution of AI agents. That is, AI agents will autonomously build their own feature expansions and new types of agents, unleashing LLM's knowledge and reasoning capabilities into the real world seamlessly.

This repository is a compilation of excellent ML and DL tutorials created by various individuals and organizations. It covers a wide range of topics, including machine learning fundamentals, deep learning, computer vision, natural language processing, reinforcement learning, and more. The resources are organized into categories, making it easy to find the information you need. Whether you're a beginner or an experienced practitioner, you're sure to find something valuable in this repository.

hCaptcha-Solver is an AI-based hcaptcha text challenge solver that utilizes the playwright module to generate the hsw N data. It can solve any text challenge without any problem, but may be flagged on some websites like Discord. The tool requires proxies since hCaptcha also rate limits. Users can run the 'hsw_api.py' before running anything and then integrate the usage shown in 'main.py' into their projects that require hCaptcha solving. Please note that this tool only works on sites that support hCaptcha text challenge.

CoML (formerly MLCopilot) is an interactive coding assistant for data scientists and machine learning developers, empowered on large language models. It offers an out-of-the-box interactive natural language programming interface for data mining and machine learning tasks, integration with Jupyter lab and Jupyter notebook, and a built-in large knowledge base of machine learning to enhance the ability to solve complex tasks. The tool is designed to assist users in coding tasks related to data analysis and machine learning using natural language commands within Jupyter environments.

A fast, easy-to-use, open source AI constraint solver for software developers. OptaPlanner is a powerful tool that helps developers solve complex optimization problems by providing a constraint satisfaction solver. It allows users to model and solve planning and scheduling problems efficiently, improving decision-making processes and resource allocation. With OptaPlanner, developers can easily integrate optimization capabilities into their applications, leading to better performance and cost-effectiveness.

Llama-github is a powerful tool that helps retrieve relevant code snippets, issues, and repository information from GitHub based on queries. It empowers AI agents and developers to solve coding tasks efficiently. With features like intelligent GitHub retrieval, repository pool caching, LLM-powered question analysis, and comprehensive context generation, llama-github excels at providing valuable knowledge context for development needs. It supports asynchronous processing, flexible LLM integration, robust authentication options, and logging/error handling for smooth operations and troubleshooting. The vision is to seamlessly integrate with GitHub for AI-driven development solutions, while the roadmap focuses on empowering LLMs to automatically resolve complex coding tasks.

APIPark is an open-source AI Gateway and Developer Portal that enables users to easily manage, integrate, and deploy AI and API services. It provides robust API management features, including creation, monitoring, and access control, to help developers efficiently and securely develop and manage their APIs. The platform aims to solve challenges such as connecting to powerful AI models, managing complex AI & API call relationships, overseeing API creation and security, simplifying fault detection and troubleshooting, and enhancing the visibility and valuation of data assets.

**deep** doctection is a Python library that orchestrates document extraction and document layout analysis tasks using deep learning models. It does not implement models but enables you to build pipelines using highly acknowledged libraries for object detection, OCR and selected NLP tasks and provides an integrated framework for fine-tuning, evaluating and running models. For more specific text processing tasks use one of the many other great NLP libraries. **deep** doctection focuses on applications and is made for those who want to solve real world problems related to document extraction from PDFs or scans in various image formats. **deep** doctection provides model wrappers of supported libraries for various tasks to be integrated into pipelines. Its core function does not depend on any specific deep learning library. Selected models for the following tasks are currently supported: * Document layout analysis including table recognition in Tensorflow with **Tensorpack**, or PyTorch with **Detectron2**, * OCR with support of **Tesseract**, **DocTr** (Tensorflow and PyTorch implementations available) and a wrapper to an API for a commercial solution, * Text mining for native PDFs with **pdfplumber**, * Language detection with **fastText**, * Deskewing and rotating images with **jdeskew**. * Document and token classification with all LayoutLM models provided by the **Transformer library**. (Yes, you can use any LayoutLM-model with any of the provided OCR-or pdfplumber tools straight away!). * Table detection and table structure recognition with **table-transformer**. * There is a small dataset for token classification available and a lot of new tutorials to show, how to train and evaluate this dataset using LayoutLMv1, LayoutLMv2, LayoutXLM and LayoutLMv3. * Comprehensive configuration of **analyzer** like choosing different models, output parsing, OCR selection. Check this notebook or the docs for more infos. * Document layout analysis and table recognition now runs with **Torchscript** (CPU) as well and **Detectron2** is not required anymore for basic inference. * [**new**] More angle predictors for determining the rotation of a document based on **Tesseract** and **DocTr** (not contained in the built-in Analyzer). * [**new**] Token classification with **LiLT** via **transformers**. We have added a model wrapper for token classification with LiLT and added a some LiLT models to the model catalog that seem to look promising, especially if you want to train a model on non-english data. The training script for LayoutLM can be used for LiLT as well and we will be providing a notebook on how to train a model on a custom dataset soon. **deep** doctection provides on top of that methods for pre-processing inputs to models like cropping or resizing and to post-process results, like validating duplicate outputs, relating words to detected layout segments or ordering words into contiguous text. You will get an output in JSON format that you can customize even further by yourself. Have a look at the **introduction notebook** in the notebook repo for an easy start. Check the **release notes** for recent updates. **deep** doctection or its support libraries provide pre-trained models that are in most of the cases available at the **Hugging Face Model Hub** or that will be automatically downloaded once requested. For instance, you can find pre-trained object detection models from the Tensorpack or Detectron2 framework for coarse layout analysis, table cell detection and table recognition. Training is a substantial part to get pipelines ready on some specific domain, let it be document layout analysis, document classification or NER. **deep** doctection provides training scripts for models that are based on trainers developed from the library that hosts the model code. Moreover, **deep** doctection hosts code to some well established datasets like **Publaynet** that makes it easy to experiment. It also contains mappings from widely used data formats like COCO and it has a dataset framework (akin to **datasets** so that setting up training on a custom dataset becomes very easy. **This notebook** shows you how to do this. **deep** doctection comes equipped with a framework that allows you to evaluate predictions of a single or multiple models in a pipeline against some ground truth. Check again **here** how it is done. Having set up a pipeline it takes you a few lines of code to instantiate the pipeline and after a for loop all pages will be processed through the pipeline.

OpsPilot is an AI-powered operations navigator developed by the WeOps team. It leverages deep learning and LLM technologies to make operations plans interactive and generalize and reason about local operations knowledge. OpsPilot can be integrated with web applications in the form of a chatbot and primarily provides the following capabilities: 1. Operations capability precipitation: By depositing operations knowledge, operations skills, and troubleshooting actions, when solving problems, it acts as a navigator and guides users to solve operations problems through dialogue. 2. Local knowledge Q&A: By indexing local knowledge and Internet knowledge and combining the capabilities of LLM, it answers users' various operations questions. 3. LLM chat: When the problem is beyond the scope of OpsPilot's ability to handle, it uses LLM's capabilities to solve various long-tail problems.

DataRobot AI Accelerators are code-first workflows to speed up model development, deployment, and time to value using the DataRobot API. The accelerators include approaches for specific business challenges, generative AI, ecosystem integration templates, and advanced ML and API usage. Users can clone the repo, import desired accelerators into notebooks, execute them, learn and modify content to solve their own problems.

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.

Assists with solving and explaining integrals.

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Get instant math solutions by uploading an image with Math expression.

A math problem solver that creates Julia code.

Your Edexcel A level maths assistant. Ask for new questions. Help for the next step in your working out. Even send me a picture of a question and i can tell you what exam it is from.

A precise and reliable scientific calculator using Python for complex math operations.

Ken Wilber thought specialist

Profesor de programación políglota con enfoque integral en aprendizaje.

Guides in exploring Integral Theory perspectives.

Solve Unity and Xcode errors easily

Advises on AI business integration.

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Educational guide for understanding algebra principles and equations.

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..

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.

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Solve Interview Guess Estimate Questions.