Best AI tools for< revise for exams >

Up Learn is an online learning platform that provides A-Level students with everything they need to achieve an A*/A grade. The platform offers interactive videos, detailed progress tracking, personalized revision, exam-board specific content, guided exam practice, and 24/7 tutor support. Up Learn's AI-powered diagnostic algorithm identifies and fills students' knowledge gaps, ensuring that every second of learning counts. The platform also offers a money-back guarantee for students who do not achieve an A*/A grade.

EssayGrader.ai is the original AI essay grader, a leading AI platform designed for teachers to efficiently grade essays. It provides high-quality, specific, and accurate writing feedback, reducing the grading time from 10 minutes to just 30 seconds. The AI-powered tool analyzes essays for grammar, punctuation, spelling, coherence, clarity, and writing style errors. It offers features like bulk uploading, custom rubrics, summarizer, AI detector, and class organization. EssayGrader.ai aims to transform the grading experience for teachers and students by simplifying the grading process and enhancing writing skills.

ChatFast is a platform that allows businesses to create custom GPT chatbots using their own data. These chatbots can be used to answer customer questions, capture leads, and schedule appointments. ChatFast is easy to use and requires no coding. It is trusted by thousands of businesses and provides a range of powerful features, including the ability to train chatbots on multiple data sources, revise responses, capture leads, and create smart forms.

Writefull is an AI-powered writing assistant that helps researchers and students write, paraphrase, copyedit, and more. It is designed to help non-native English speakers improve their writing and to make academic writing easier and faster. Writefull's AI is trained on millions of journal articles, so its edits are tailored to academic writing. It also offers a variety of AI widgets that can help you craft your sentences, such as the Academizer, Paraphraser, Title Generator, Abstract Generator, and GPT Detector.

SentenceCounter is a free, online tool that helps you count the number of sentences in a piece of text. It's perfect for anyone who needs a quick sentence count without any hassle. Because it's online, you can use it from anywhere, anytime, without any cost. SentenceCounter is a free, online tool designed to count sentences in your text with ease. Just paste your text into the tool, and it instantly tells you how many sentences it contains. It's perfect for anyone who needs a quick sentence count without any hassle. Because it's online, you can use it from anywhere, anytime, without any cost.

YouTube Summaries is an AI-powered tool that generates summaries of YouTube videos. It can summarize podcasts, lectures, product launches, tech reviews, and more. The tool is designed to help users quickly revise educational and how-to videos, enabling effective learning. It also offers a variety of features, including the ability to search for specific keywords, adjust the summary length, and share summaries with others.

EssayFlow is a free AI essay writer that helps students and academics write high-quality essays. It offers a range of features to make essay writing easier, including a plagiarism checker, grammar checker, and auto-completion tool. EssayFlow also provides access to a large database of academic resources, making it easy to find relevant and credible sources for your essays.

Mutable.ai is an AI application designed to create living documentation for codebases using AI technology. It automatically generates wiki-style articles from codebases, keeping them up-to-date with AI. The application allows users to chat with their codebase, make code diagrams automatically, and receive updates when the code changes. It aims to revolutionize engineering onboarding by providing accurate and real-time documentation for software engineers.

Predraft AI is an AI-powered tool that helps users research and write SEO-optimized articles. It offers a range of features to help users create high-quality content, including automatic Google search integration, real-time data and information, customizable tone control, factual accuracy with citations and external links, and the ability to revise articles without arguing. Predraft AI is easy to use and can help users save time and effort when creating SEO content.

Grantable is a leading AI-powered grants platform that offers an AI-assisted grant writing assistant to help professionals in the grant-seeking process. The platform utilizes previous proposals to craft new submissions, enriching a dynamic content library that continuously updates and improves. Grantable stands out by providing a secure and authentic platform, enabling users to reclaim time and energy by streamlining grant writing tasks. With features like a smart library, content search, AI assistance in drafting and revising, and quick reference material, Grantable aims to make grant-seeking a breeze for its users.

EmailMagic AI is an AI-powered email writing tool that helps users create emails faster, generate responsive email replies, and communicate in any language. It analyzes email data to match the user's writing style and preferences, enabling personalized email generation. EmailMagic AI offers a 7-day free trial, with paid subscription plans available for continued use. It prioritizes data security and does not read user emails. The tool is compatible with Gmail and allows users to revise emails up to 5 times.

Revivoto is a Vancouver-based company that specializes in smart real estate photo editing services, including virtual staging, 360° virtual staging, item removal image enhancement, and day-to-dusk transformation. Revivoto's services are designed for professionals looking to elevate real estate listings and give them a competitive edge in the crowded market. With a focus on high-quality photo edits, fast turnaround times, and affordable pricing, Revivoto aims to make professional photo editing accessible to everyone in the real estate industry.

Living Comments AI is an AI Comments Plugin for WordPress that enhances user engagement and SEO value by generating AI-generated comments in multiple languages and tones. The plugin offers features such as 40+ color-coded tones, comments in 35 languages, engagement modes, comment moderation, and feedback reporting. It aims to transform blog comment sections into lively discussions and boost interaction with the audience.

Image Colorizer is an AI-powered photo editing tool that allows users to colorize, restore, enhance, retouch, and repair old photos. It uses advanced AI technology to automatically and instantly restore old photos, bringing them back to life. The tool is easy to use and offers a wide range of features to help users improve and restore their old pictures.

Face26 is an online AI-powered photo enhancer that helps users improve the quality of their images. It offers a range of features including unblurring, colorizing, upscaling, and restoring old photos. The tool is easy to use and requires no photo editing skills. Users can simply upload their photos to the website or mobile app and the AI algorithm will automatically enhance them. Face26 is a popular tool for photographers, graphic designers, and anyone who wants to improve the quality of their photos.

Face Photo Restorer is an AI-powered image restoration tool that specializes in restoring old photos using advanced artificial intelligence technology. With over 63,532 satisfied customers worldwide, the tool aims to bring back the clarity and details of blurry or damaged photos, turning them into high-quality images. The service is provided free of charge, making it accessible to anyone in need of fixing blurry photos. Users can witness the magic of AI in action as the tool effortlessly enhances and restores images to their former glory. Face Photo Restorer is praised for its user-friendly design, functionality, and fast performance, making it a go-to solution for photo restoration enthusiasts.

The website offers an AI tool that allows users to import and talk to their ex by importing their ex's chats into the app. Users can continue texting or dating their ex even after a breakup. Additionally, the tool provides TikTok ad creative analytics for users to optimize their advertising strategies. The platform leverages AI technology to facilitate communication and analyze ad performance.

Face Photo Restorer is an AI-powered tool designed to restore old and blurry face photos using advanced artificial intelligence technology. With over 470,000 happy users worldwide, the tool aims to help users preserve their precious memories by enhancing and restoring their photos. Face Photo Restorer is a free and user-friendly application that leverages AI algorithms to bring new life to old photographs, making them clearer and more vibrant. The tool is highly praised for its efficiency and effectiveness in photo restoration, making it a popular choice among individuals looking to revive their nostalgic images.

Deep Nostalgia AI is an advanced AI platform that transforms old photos into lifelike videos. Using cutting-edge machine learning algorithms, the application animates faces in photos, creating realistic movements and expressions to bring cherished memories to life. With a free version available for limited usage and premium plans for additional features, Deep Nostalgia AI offers a seamless and emotionally engaging experience for users looking to animate their old photos effortlessly.

Hatchet is an AI companion designed to assist on-call engineers in incident response by providing relevant context directly into the incident. It helps save engineers time and money by suggesting code fixes, triaging and investigating pages, and integrating seamlessly into alerting systems. The tool is built by engineers and ensures data security through self-hosted deployments, permissions, audit trails, SSO, and version control. Hatchet aims to revive tier-1 services faster by ingesting logs, codebases, and knowledge hubs.

PromptAgent is a repository for a novel automatic prompt optimization method that crafts expert-level prompts using language models. It provides a principled framework for prompt optimization by unifying prompt sampling and rewarding using MCTS algorithm. The tool supports different models like openai, palm, and huggingface models. Users can run PromptAgent to optimize prompts for specific tasks by strategically sampling model errors, generating error feedbacks, simulating future rewards, and searching for high-reward paths leading to expert prompts.

This repository contains a hand-curated list of great machine (deep) learning resources for Natural Language Processing (NLP) with a focus on Generative Pre-trained Transformer (GPT), Bidirectional Encoder Representations from Transformers (BERT), attention mechanism, Transformer architectures/networks, Chatbot, and transfer learning in NLP.

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

AutoGen is a framework that enables the development of LLM applications using multiple agents that can converse with each other to solve tasks. AutoGen agents are customizable, conversable, and seamlessly allow human participation. They can operate in various modes that employ combinations of LLMs, human inputs, and tools.

SheetCopilot is an assistant agent that manipulates spreadsheets by following user commands. It leverages Large Language Models (LLMs) to interact with spreadsheets like a human expert, enabling non-expert users to complete tasks on complex software such as Google Sheets and Excel via a language interface. The tool observes spreadsheet states, polishes generated solutions based on external action documents and error feedback, and aims to improve success rate and efficiency. SheetCopilot offers a dataset with diverse task categories and operations, supporting operations like entry & manipulation, management, formatting, charts, and pivot tables. Users can interact with SheetCopilot in Excel or Google Sheets, executing tasks like calculating revenue, creating pivot tables, and plotting charts. The tool's evaluation includes performance comparisons with leading LLMs and VBA-based methods on specific datasets, showcasing its capabilities in controlling various aspects of a spreadsheet.

This repository is dedicated to summarizing papers related to large language models with the field of law. It includes applications of large language models in legal tasks, legal agents, legal problems of large language models, data resources for large language models in law, law LLMs, and evaluation of large language models in the legal domain.

AIMET is a library that provides advanced model quantization and compression techniques for trained neural network models. It provides features that have been proven to improve run-time performance of deep learning neural network models with lower compute and memory requirements and minimal impact to task accuracy. AIMET is designed to work with PyTorch, TensorFlow and ONNX models. We also host the AIMET Model Zoo - a collection of popular neural network models optimized for 8-bit inference. We also provide recipes for users to quantize floating point models using AIMET.

LLPhant is a comprehensive PHP Generative AI Framework that provides a simple and powerful way to build apps. It supports Symfony and Laravel and offers a wide range of features, including text generation, chatbots, text summarization, and more. LLPhant is compatible with OpenAI and Ollama and can be used to perform a variety of tasks, including creating semantic search, chatbots, personalized content, and text summarization.

Reinforcement Learning from AI Feedback (RLAIF) is a concept that describes a type of machine learning approach where **an AI agent learns by receiving feedback or guidance from another AI system**. This concept is closely related to the field of Reinforcement Learning (RL), which is a type of machine learning where an agent learns to make a sequence of decisions in an environment to maximize a cumulative reward. In traditional RL, an agent interacts with an environment and receives feedback in the form of rewards or penalties based on the actions it takes. It learns to improve its decision-making over time to achieve its goals. In the context of Reinforcement Learning from AI Feedback, the AI agent still aims to learn optimal behavior through interactions, but **the feedback comes from another AI system rather than from the environment or human evaluators**. This can be **particularly useful in situations where it may be challenging to define clear reward functions or when it is more efficient to use another AI system to provide guidance**. The feedback from the AI system can take various forms, such as: - **Demonstrations** : The AI system provides demonstrations of desired behavior, and the learning agent tries to imitate these demonstrations. - **Comparison Data** : The AI system ranks or compares different actions taken by the learning agent, helping it to understand which actions are better or worse. - **Reward Shaping** : The AI system provides additional reward signals to guide the learning agent's behavior, supplementing the rewards from the environment. This approach is often used in scenarios where the RL agent needs to learn from **limited human or expert feedback or when the reward signal from the environment is sparse or unclear**. It can also be used to **accelerate the learning process and make RL more sample-efficient**. Reinforcement Learning from AI Feedback is an area of ongoing research and has applications in various domains, including robotics, autonomous vehicles, and game playing, among others.

LLM4Decompile is an open-source large language model dedicated to decompilation of Linux x86_64 binaries, supporting GCC's O0 to O3 optimization levels. It focuses on assessing re-executability of decompiled code through HumanEval-Decompile benchmark. The tool includes models with sizes ranging from 1.3 billion to 33 billion parameters, available on Hugging Face. Users can preprocess C code into binary and assembly instructions, then decompile assembly instructions into C using LLM4Decompile. Ongoing efforts aim to expand capabilities to support more architectures and configurations, integrate with decompilation tools like Ghidra and Rizin, and enhance performance with larger training datasets.

This repository serves as a comprehensive hub for updates on generative AI research, interview materials, notebooks, and more. It includes monthly best GenAI papers list, interview resources, free courses, and code repositories/notebooks for developing generative AI applications. The repository is regularly updated with the latest additions to keep users informed and engaged in the field of generative AI.

LLM Blueprint is an official implementation of a paper that enables text-to-image generation with complex and detailed prompts. It leverages Large Language Models (LLMs) to extract critical components from text prompts, including bounding box coordinates for foreground objects, detailed textual descriptions for individual objects, and a succinct background context. The tool operates in two phases: Global Scene Generation creates an initial scene using object layouts and background context, and an Iterative Refinement Scheme refines box-level content to align with textual descriptions, ensuring consistency and improving recall compared to baseline diffusion models.

L3AGI is an open-source tool that enables AI Assistants to collaborate together as effectively as human teams. It provides a robust set of functionalities that empower users to design, supervise, and execute both autonomous AI Assistants and Teams of Assistants. Key features include the ability to create and manage Teams of AI Assistants, design and oversee standalone AI Assistants, equip AI Assistants with the ability to retain and recall information, connect AI Assistants to an array of data sources for efficient information retrieval and processing, and employ curated sets of tools for specific tasks. L3AGI also offers a user-friendly interface, APIs for integration with other systems, and a vibrant community for support and collaboration.

RTL-Coder is a tool designed to outperform GPT-3.5 in RTL code generation by providing a fully open-source dataset and a lightweight solution. It targets Verilog code generation and offers an automated flow to generate a large labeled dataset with over 27,000 diverse Verilog design problems and answers. The tool addresses the data availability challenge in IC design-related tasks and can be used for various applications beyond LLMs. The tool includes four RTL code generation models available on the HuggingFace platform, each with specific features and performance characteristics. Additionally, RTL-Coder introduces a new LLM training scheme based on code quality feedback to further enhance model performance and reduce GPU memory consumption.

**Promptulate** is an AI Agent application development framework crafted by **Cogit Lab** , which offers developers an extremely concise and efficient way to build Agent applications through a Pythonic development paradigm. The core philosophy of Promptulate is to borrow and integrate the wisdom of the open-source community, incorporating the highlights of various development frameworks to lower the barrier to entry and unify the consensus among developers. With Promptulate, you can manipulate components like LLM, Agent, Tool, RAG, etc., with the most succinct code, as most tasks can be easily completed with just a few lines of code. 🚀

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

MMOS (Mix of Minimal Optimal Sets) is a dataset designed for math reasoning tasks, offering higher performance and lower construction costs. It includes various models and data subsets for tasks like arithmetic reasoning and math word problem solving. The dataset is used to identify minimal optimal sets through reasoning paths and statistical analysis, with a focus on QA-pairs generated from open-source datasets. MMOS also provides an auto problem generator for testing model robustness and scripts for training and inference.

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