Best AI tools for< Save Math Problems >

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.

AI Math Solver is an advanced AI application that leverages multi-modal AI technology to assist users in solving math problems step by step. Users can upload photos or describe math problems to receive accurate solutions efficiently. The application also supports Latex for displaying math formulas, allows users to save and share solved math problems, and offers solutions for set operations, equations, and geometry problems. AI Math Solver is designed to outperform human performance in math challenges, making it a powerful tool for students and professionals alike.

Khanmigo is an AI-powered teaching assistant and tutor developed by Khan Academy, a trusted education nonprofit. It offers personalized learning experiences for teachers, learners, and parents across various subjects such as math, science, coding, and humanities. Khanmigo aims to revolutionize education by providing on-demand support, engaging content, and ethical design focused on safety and learning. With features tailored for educators and students, Khanmigo simplifies workflows, challenges critical thinking, and guides learners to discover answers independently.

Julius AI is an advanced AI data analyst tool that allows users to analyze data with computational AI, chat with files to get expert-level insights, create sleek data visualizations, perform modeling and predictive forecasting, solve math, physics, and chemistry problems, generate polished analyses and summaries, save time by automating data work, and unlock statistical modeling without complexity. It offers features like generating visualizations, asking data questions, effortless cleaning, instant data export, creating animations, and supercharging data analysis. Julius AI is loved by over 1,200,000 users worldwide and is designed to help knowledge workers make the most out of their data.

Clevopy.ai is an advanced AI writing tool that helps users overcome writer's block and create compelling, impactful content. It offers a range of features, including AI writing, AI chat, text to image generation, YouTube channel name generation, Google Drive integration, PDF export, sentence expansion, blog post conclusion generation, company bio generation, Google My Business post and tweet writing, grammar correction, video topic ideas, creative story generation, product description generation, essay writing, song lyrics generation, press release generation, startup idea generation, poem writing, brochure generation, math problem solving, slogan generation, landing page headlines generation, Pinterest pin generation, and review writing. Clevopy.ai is designed to help users streamline their writing process, save time and money, and create high-quality content that resonates with their audience.

Arlinear is a free AI Quiz Maker that allows users to create quizzes and worksheets instantly using their own files. The AI-powered quiz maker works across various subjects like math, science, grammar, and more. Users can utilize Google Docs, Slides, PDFs, PowerPoints, Word Documents, or YouTube videos to generate personalized quizzes. The platform automatically grades quizzes and provides students with valuable feedback to enhance their learning experience. Arlinear simplifies the quiz creation process by analyzing file content and generating relevant questions to challenge students' understanding.

Easy Save AI is a comprehensive directory of Digital Marketing AI tools available online and curated by a digital marketing expert, Muritala Yusuf. Easy Save AI's primary objective is to ensure that AI is accessible to everyone. You can conveniently utilize our website to discover new AI tools and services or locate specific ones based on your requirements by Using our easy-to-use filter on the home page. AI technology is constantly progressing, and experts are continuously developing sophisticated models for various applications. Our directory includes an array of AI tools such as AI copywriters, text and image generators, AI transcription, SEO automation tools, and more. There is something suitable for every individual! Our website is committed to offering user-friendly AI tools and resources that can contribute to the success of you and your business in the digital era. We meticulously evaluate and curate each tool to ensure they possess valuable features and are accessible to both novices and experts. With the Easy Save AI platform, you can locate the AI tools you require and save valuable time and money. We sometimes have discounts on AI Tools and we always specify on the product page for you to use.

SaveDay is a smart tool designed to capture, organize, and utilize knowledge efficiently. It allows users to easily capture content from the internet, organize it automatically, and search for information effectively. SaveDay prioritizes user privacy by ensuring that saved data is secure and accessible only to the user. The tool offers features such as YouTube and article summarization, AI search, web highlighting, website notes, and bookmark management. Users can access their saved content across multiple devices, making it a versatile knowledge management solution.

Hootsuite is a social media management tool that helps businesses schedule posts, track analytics, and engage with customers. It offers a variety of features, including social listening, content creation, and employee advocacy. Hootsuite is used by businesses of all sizes, from small businesses to large enterprises. It is a valuable tool for businesses that want to improve their social media marketing efforts.

AskCodi is an AI-powered coding assistant designed to enhance developer productivity and efficiency. It offers a range of features, including AI-powered chat, workbooks, and integrations, to streamline coding tasks and improve code quality. AskCodi is trusted by developers worldwide for its ability to automate repetitive processes, provide real-time code suggestions, and enhance overall coding performance.

Yokoy is an AI-powered spend management suite that helps midsize companies and global enterprises save money on every dollar spent. It automates accounts payable and expense management tasks, streamlines global data, keeps spend under control, and enforces compliance. Yokoy's API facilitates seamless integrations with enterprise-level systems for end-to-end automation across entities and geographies.

MagicPost is an AI-powered LinkedIn post generator that helps you save time and create engaging, high-quality posts. With MagicPost, you can turn URLs into posts, get standout posts with the powers of GPT-4 AI and an advanced algorithm, and go live at any time. MagicPost is the perfect tool for anyone who wants to improve their LinkedIn content strategy.

Delibr is a document-writing solution with generative AI baked in. Through interviewing and coaching over 500 product leaders, we've learned what's important and used it to train our AI. Delibr offers a range of AI-enhanced product templates, including PRDs, user personas, and strategy documents. Each template is designed to help you create high-quality documents that stand out. Delibr also includes an AI Copilot assistant that can review your documents, suggest impactful changes, and offer insights on comments. With Delibr, you can save time writing requirements, organize your ideas, and track your progress. Delibr is trusted by product teams around the world, including Storytel, Nectarine Health, RunaHR, and DecisionLink.

Pump is an AI-powered platform that utilizes group buying and artificial intelligence to help startups save up to 60% on cloud computing costs. It offers discounts previously only available to large companies, alongside 24/7 automated AWS savings. Pump promises to slash runaway cloud computing costs and provides a seamless and efficient experience for its users. The platform is trusted by over 1000 startups across 22 countries and has been recognized as the 'Costco of Cloud' by Forbes.

Clara is an AI-powered virtual employee that specializes in scheduling meetings on behalf of users. By simply adding Clara to any email, users can delegate the back-and-forth of scheduling to Clara, allowing them to focus on more important tasks. Clara interacts with users in natural language, offers 24/7 response, and provides automatic follow-ups to ensure meetings are efficiently scheduled. The application is designed to save time, money, and help users achieve more by streamlining the scheduling process.

Hoop is an AI task management tool designed for busy professionals to help capture and prioritize tasks across various communication tools like meetings, Slack, and email. It uses AI to intelligently capture tasks, provide summaries, and automatically label priorities, allowing users to focus on important tasks without the need for manual project management. Hoop ensures data privacy and security through encryption and visibility controls, making it a reliable tool for enhancing productivity and task organization.

Converso is an AI-powered customer support platform that enables businesses to connect their own AI Assistant with a shared team inbox, thereby automating first-line customer support and reducing workload for front-line agents. AI Assistants can be connected to different channels, such as webchat, WhatsApp, SMS, and conversations can be transferred to a human agent in the event that the query is too complex for the AI Assistant to manage. Converso also enables outbound conversations via WhatsApp and SMS, managed via the same inbox, for proactive customer engagement.

Simple Metrics' Gemini AI for Google Sheets is a powerful tool that allows users to harness the power of AI directly within Google Sheets. With a suite of 10 AI formulas and the ability to perform full sheet analysis, Gemini AI empowers users to automate tasks, gain valuable insights, and streamline their workflows. Its user-friendly interface and customizable settings make it accessible to users of all levels, while its free tier ensures that everyone can experience the benefits of AI in Google Sheets.

Seelab is an AI visual creation tool designed to help users save time in creating visuals for their brand. It allows users to generate photos, illustrations, and vector images aligned with their branding in just a few clicks. The tool respects the user's branding guidelines and offers pre-configured styles for easy creation. Seelab aims to simplify the visual creation process and enhance creativity and agility in marketing and design projects.

Skipit.ai is a web-based tool that uses artificial intelligence to summarize and chat with YouTube videos, PDFs, Google Docs, and websites. It is designed to save users time and make them more productive. Skipit.ai offers a free plan with limited features and a premium plan with more advanced features.

AMchat is a large language model that integrates advanced math concepts, exercises, and solutions. The model is based on the InternLM2-Math-7B model and is specifically designed to answer advanced math problems. It provides a comprehensive dataset that combines Math and advanced math exercises and solutions. Users can download the model from ModelScope or OpenXLab, deploy it locally or using Docker, and even retrain it using XTuner for fine-tuning. The tool also supports LMDeploy for quantization, OpenCompass for evaluation, and various other features for model deployment and evaluation. The project contributors have provided detailed documentation and guides for users to utilize the tool effectively.

MathVerse is an all-around visual math benchmark designed to evaluate the capabilities of Multi-modal Large Language Models (MLLMs) in visual math problem-solving. It collects high-quality math problems with diagrams to assess how well MLLMs can understand visual diagrams for mathematical reasoning. The benchmark includes 2,612 problems transformed into six versions each, contributing to 15K test samples. It also introduces a Chain-of-Thought (CoT) Evaluation strategy for fine-grained assessment of output answers.

MathEval is a benchmark designed for evaluating the mathematical capabilities of large models. It includes over 20 evaluation datasets covering various mathematical domains with more than 30,000 math problems. The goal is to assess the performance of large models across different difficulty levels and mathematical subfields. MathEval serves as a reliable reference for comparing mathematical abilities among large models and offers guidance on enhancing their mathematical capabilities in the future.

Step-DPO is a method for enhancing long-chain reasoning ability of LLMs with a data construction pipeline creating a high-quality dataset. It significantly improves performance on math and GSM8K tasks with minimal data and training steps. The tool fine-tunes pre-trained models like Qwen2-7B-Instruct with Step-DPO, achieving superior results compared to other models. It provides scripts for training, evaluation, and deployment, along with examples and acknowledgements.

Qwen is a series of large language models developed by Alibaba DAMO Academy. It outperforms the baseline models of similar model sizes on a series of benchmark datasets, e.g., MMLU, C-Eval, GSM8K, MATH, HumanEval, MBPP, BBH, etc., which evaluate the models’ capabilities on natural language understanding, mathematic problem solving, coding, etc. Qwen models outperform the baseline models of similar model sizes on a series of benchmark datasets, e.g., MMLU, C-Eval, GSM8K, MATH, HumanEval, MBPP, BBH, etc., which evaluate the models’ capabilities on natural language understanding, mathematic problem solving, coding, etc. Qwen-72B achieves better performance than LLaMA2-70B on all tasks and outperforms GPT-3.5 on 7 out of 10 tasks.

ChainForge is a visual programming environment for battle-testing prompts to LLMs. It is geared towards early-stage, quick-and-dirty exploration of prompts, chat responses, and response quality that goes beyond ad-hoc chatting with individual LLMs. With ChainForge, you can: * Query multiple LLMs at once to test prompt ideas and variations quickly and effectively. * Compare response quality across prompt permutations, across models, and across model settings to choose the best prompt and model for your use case. * Setup evaluation metrics (scoring function) and immediately visualize results across prompts, prompt parameters, models, and model settings. * Hold multiple conversations at once across template parameters and chat models. Template not just prompts, but follow-up chat messages, and inspect and evaluate outputs at each turn of a chat conversation. ChainForge comes with a number of example evaluation flows to give you a sense of what's possible, including 188 example flows generated from benchmarks in OpenAI evals. This is an open beta of Chainforge. We support model providers OpenAI, HuggingFace, Anthropic, Google PaLM2, Azure OpenAI endpoints, and Dalai-hosted models Alpaca and Llama. You can change the exact model and individual model settings. Visualization nodes support numeric and boolean evaluation metrics. ChainForge is built on ReactFlow and Flask.

ModelFusion is an abstraction layer for integrating AI models into JavaScript and TypeScript applications, unifying the API for common operations such as text streaming, object generation, and tool usage. It provides features to support production environments, including observability hooks, logging, and automatic retries. You can use ModelFusion to build AI applications, chatbots, and agents. ModelFusion is a non-commercial open source project that is community-driven. You can use it with any supported provider. ModelFusion supports a wide range of models including text generation, image generation, vision, text-to-speech, speech-to-text, and embedding models. ModelFusion infers TypeScript types wherever possible and validates model responses. ModelFusion provides an observer framework and logging support. ModelFusion ensures seamless operation through automatic retries, throttling, and error handling mechanisms. ModelFusion is fully tree-shakeable, can be used in serverless environments, and only uses a minimal set of dependencies.

Awesome AI Tools is a curated list of popular tools and resources for artificial intelligence enthusiasts. It includes a wide range of tools such as machine learning libraries, deep learning frameworks, data visualization tools, and natural language processing resources. Whether you are a beginner or an experienced AI practitioner, this repository aims to provide you with a comprehensive collection of tools to enhance your AI projects and research. Explore the list to discover new tools, stay updated with the latest advancements in AI technology, and find the right resources to support your AI endeavors.

Awesome Generative AI is a curated list of modern Generative Artificial Intelligence projects and services. Generative AI technology creates original content like images, sounds, and texts using machine learning algorithms trained on large data sets. It can produce unique and realistic outputs such as photorealistic images, digital art, music, and writing. The repo covers a wide range of applications in art, entertainment, marketing, academia, and computer science.

LibreOffice AI Content Generator is a simple Python macro script that enables users to generate content from selected words/sentences using OpenAI or Google AI. The script allows users to perform various tasks such as generating content, translating to other languages, summarizing long content, improving content, and custom tasks like solving math questions. It requires APSO, OpenAI API Key, Google AI API Key, zenity for handling progress bars, and specific Python modules. Users need a little knowledge of LibreOffice macros and Python to use this tool effectively.

LLM-Synthetic-Data is a repository focused on real-time, fine-grained LLM-Synthetic-Data generation. It includes methods, surveys, and application areas related to synthetic data for language models. The repository covers topics like pre-training, instruction tuning, model collapse, LLM benchmarking, evaluation, and distillation. It also explores application areas such as mathematical reasoning, code generation, text-to-SQL, alignment, reward modeling, long context, weak-to-strong generalization, agent and tool use, vision and language, factuality, federated learning, generative design, and safety.

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)

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.

The `mystic` framework provides a collection of optimization algorithms and tools that allow the user to robustly solve hard optimization problems. It offers fine-grained power to monitor and steer optimizations during the fit processes. Optimizers can advance one iteration or run to completion, with customizable stop conditions. `mystic` optimizers share a common interface for easy swapping without writing new code. The framework supports parameter constraints, including soft and hard constraints, and provides tools for scientific machine learning, uncertainty quantification, adaptive sampling, nonlinear interpolation, and artificial intelligence. `mystic` is actively developed and welcomes user feedback and contributions.

SciCode is a challenging benchmark designed to evaluate the capabilities of language models (LMs) in generating code for solving realistic scientific research problems. It contains 338 subproblems decomposed from 80 challenging main problems across 16 subdomains from 6 domains. The benchmark offers optional descriptions specifying useful scientific background information and scientist-annotated gold-standard solutions and test cases for evaluation. SciCode demonstrates a realistic workflow of identifying critical science concepts and facts and transforming them into computation and simulation code, aiming to help showcase LLMs' progress towards assisting scientists and contribute to the future building and evaluation of scientific AI.

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.

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