Best AI tools for< Write Abstracts >

Writefull X is a suite of AI-powered writing tools designed to help students and researchers with their academic writing. The tools include a title generator, abstract generator, paraphraser, academizer, and GPT detector. Writefull X is also available as an add-in for Microsoft Word and Overleaf.

AcademicGPT is an AI tool designed to assist users in generating academic content such as research papers, abstracts, and feedback. Users can input text prompts and receive AI-generated content tailored to their needs. The tool aims to streamline the academic writing process and provide valuable assistance to students, researchers, and professionals in the academic field.

UpSum is a text summarization tool that uses advanced AI technology to condense lengthy texts into concise summaries. It is designed to save users time and effort by extracting the key points and insights from documents, research papers, news articles, and other written content. UpSum's AI algorithm analyzes the text, identifies the most important sentences and phrases, and assembles them into a coherent summary that accurately represents the main ideas and key takeaways of the original text. The tool is easy to use, simply upload or paste your text, select the desired summary length, and click the summarize button. UpSum is available as a free web-based tool, as well as a premium subscription with additional features and capabilities.

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.

Writer is a full-stack generative AI platform that offers industry-leading models Palmyra-Med and Palmyra-Fin. It provides a secure enterprise platform to embed generative AI into any business process, enforce legal and brand compliance, and gain insights through analysis. Writer's platform abstracts complexity, allowing users to focus on AI-first workflows without the need to maintain infrastructure. The platform includes Palmyra LLMs, Knowledge Graph, and AI guardrails to ensure quality, control, transparency, accuracy, and security in AI applications.

This website provides a suite of AI-powered writing tools, including an AI writer, text summarizer, story writer, and headline generator. These tools can help you generate high-quality content quickly and easily.

Summarizer AI is a free online tool that simplifies and condenses extensive text documents, articles, or any written content into concise, easily digestible summaries. This cutting-edge artificial intelligence (AI) technology aims to enhance productivity and comprehension by breaking down complex information into its most essential points, making it particularly useful for students, researchers, professionals, and anyone looking to quickly grasp the main ideas of lengthy texts. The platform is user-friendly, emphasizing privacy and security for its users. It enhances reading comprehension by highlighting key terms and facilitates efficient knowledge acquisition without compromising on data confidentiality. Summarizer AI stands out for its versatility, ease of use, and commitment to user privacy, making it an invaluable resource for efficient text analysis and summarization.

QuillWord is an AI-powered text editor designed to enhance academic and research writing. It offers a range of AI-powered tools, including an email writer, text summarizer, outline generator, essay rewriter, essay extender, essay shortener, essay introduction generator, essay conclusion generator, essay topic generator, research title generator, abstract generator, essay checker, and AI-powered autocompletion. QuillWord also provides citation support in various styles, a reference library, and an AI assistant called Copilot. It is suitable for students, teachers, researchers, and writers who want to improve their writing efficiency and quality.

TLDR This is an online article summarizer tool that helps users quickly understand the essence of lengthy content. It uses AI to analyze any piece of text and summarize it automatically, in a way that makes it easy to read, understand, and act on. TLDR This also extracts essential metadata such as author and date information, related images, and the title. Additionally, it estimates the reading time for news articles and blog posts, ensuring users have all the necessary information consolidated in one place for efficient reading. TLDR This is designed for students, writers, teachers, institutions, journalists, and any internet user who needs to quickly understand the essence of lengthy content.

Satellitor is an AI-powered SEO tool that helps businesses create and manage SEO-optimized blogs. It automates the entire process of content creation, publishing, and ranking, freeing up business owners to focus on other aspects of their business. Satellitor's AI-generated content is of high quality and adheres to Google's best practices, ensuring that your blog ranks well in search results and attracts organic traffic to your website.

Image AI is a powerful tool that allows you to generate unique and realistic images using artificial intelligence. With Image AI, you can create images of people, places, things, and even abstract concepts. The possibilities are endless! Image AI is perfect for artists, designers, writers, and anyone else who wants to create stunning visuals. With Image AI, you can:

ArtBot.ai is an AI-powered art generator that allows users to create unique and visually appealing artwork using natural language prompts. With ArtBot.ai, users can generate images in various styles, including realistic, abstract, and fantasy. The platform is designed to be user-friendly and accessible to people of all skill levels, making it an excellent tool for artists, designers, and anyone looking to explore their creativity.

Lusion AI is a free AI image generator that allows users to create images from text prompts. It is powered by Stable Diffusion and Re.Art 2.0. The tool is easy to use and can be used to create a wide variety of images, from realistic landscapes to abstract art.

ClimbContent is an AI content generator plugin designed specifically for WordPress websites. It utilizes advanced AI technology to analyze top-ranking pages for keywords, guide content creation, and optimize SEO strategies. By blending industry expertise with AI insights, ClimbContent helps users craft SEO-optimized content that aligns with Google preferences and brand voice. The tool enhances readability, engagement, and on-page SEO through features like intelligent keyword analysis, AI-driven content creation, and automated enhancements. ClimbContent empowers users to create top-ranking content that attracts organic traffic and boosts search engine rankings.

SmartBids.ai is an AI-powered real estate pricing and analytics software designed to revolutionize the real estate sales industry. It offers cutting-edge technology and automation tools to help real estate agents and brokerages increase their conversion rate, boost revenue, and provide superior service to clients. With features like an Automated Valuation Model (AVM), listing description writer, photo enhancer, client house recommendation engine, and renovation ROI tool, SmartBids.ai aims to transform the sales strategy of real estate professionals. The application provides accurate pricing strategies, improves listing quality, attracts more buyers, and helps agents make informed decisions in a competitive market.

Write with LAIKA is an AI-powered writing tool that provides users with a team of virtual companions designed using artificial intelligence. These companions offer support in editing, summarizing, and giving feedback, creating a collaborative and creative environment for writers. The tool aims to enhance the writing process by providing personalized AI peers to assist users in their creative endeavors.

Clarity Write is an open-source SaaS script that provides a comprehensive suite of AI-powered tools to transform content creation. With its powerful AI capabilities, users can effortlessly generate high-quality content, create stunning visuals, automate coding tasks, transcribe audio and video files, and engage with AI experts via chatbots. Clarity Write also offers a vast library of over 500 professionally designed templates, a feature-rich editor for refining content, and robust admin tools for streamlined management. By leveraging the capabilities of OpenAI APIs, Clarity Write empowers users to enhance their content creation process, unlock endless creativity, and simplify their operations.

Write.homes is an AI-powered copywriting tool tailored specifically for real estate professionals. It offers GPT-4 technology access for generating property listings, client emails, ads, and other real estate content in seconds. With a focus on the real estate industry, Write.homes provides incredible value and user-friendly experience.

write right ai is an AI-powered writing coach that helps users improve their grammar and sentence structure in seconds. It offers a range of features such as AI-powered grammar checking, practice questions, professional and unique AI suggestions, and a freetext grammar check. The tool is perfect for individuals at all levels of English ability, providing a fast and effective way to enhance writing skills.

Write Release is an AI-powered tool that helps users write press releases in minutes. It is easy to use and free to get started. Users simply answer a few questions, and Write Release will generate a high-quality press release that can be used to promote their company or organization.

PyTorch Lightning is a framework for training and deploying AI models. It provides a high-level API that abstracts away the low-level details of PyTorch, making it easier to write and maintain complex models. Lightning also includes a number of features that make it easy to train and deploy models on multiple GPUs or TPUs, and to track and visualize training progress. PyTorch Lightning is used by a wide range of organizations, including Google, Facebook, and Microsoft. It is also used by researchers at top universities around the world. Here are some of the benefits of using PyTorch Lightning: * **Increased productivity:** Lightning's high-level API makes it easy to write and maintain complex models. This can save you time and effort, and allow you to focus on the research or business problem you're trying to solve. * **Improved performance:** Lightning's optimized training loops and data loading pipelines can help you train models faster and with better performance. * **Easier deployment:** Lightning makes it easy to deploy models to a variety of platforms, including the cloud, on-premises servers, and mobile devices. * **Better reproducibility:** Lightning's logging and visualization tools make it easy to track and reproduce training results.

The 'llm' package for Emacs provides an interface for interacting with Large Language Models (LLMs). It abstracts functionality to a higher level, concealing API variations and ensuring compatibility with various LLMs. Users can set up providers like OpenAI, Gemini, Vertex, Claude, Ollama, GPT4All, and a fake client for testing. The package allows for chat interactions, embeddings, token counting, and function calling. It also offers advanced prompt creation and logging capabilities. Users can handle conversations, create prompts with placeholders, and contribute by creating providers.

TorchRL is an open-source Reinforcement Learning (RL) library for PyTorch. It provides pytorch and **python-first** , low and high level abstractions for RL that are intended to be **efficient** , **modular** , **documented** and properly **tested**. The code is aimed at supporting research in RL. Most of it is written in python in a highly modular way, such that researchers can easily swap components, transform them or write new ones with little effort.

MSCCL++ is a GPU-driven communication stack for scalable AI applications. It provides a highly efficient and customizable communication stack for distributed GPU applications. MSCCL++ redefines inter-GPU communication interfaces, delivering a highly efficient and customizable communication stack for distributed GPU applications. Its design is specifically tailored to accommodate diverse performance optimization scenarios often encountered in state-of-the-art AI applications. MSCCL++ provides communication abstractions at the lowest level close to hardware and at the highest level close to application API. The lowest level of abstraction is ultra light weight which enables a user to implement logics of data movement for a collective operation such as AllReduce inside a GPU kernel extremely efficiently without worrying about memory ordering of different ops. The modularity of MSCCL++ enables a user to construct the building blocks of MSCCL++ in a high level abstraction in Python and feed them to a CUDA kernel in order to facilitate the user's productivity. MSCCL++ provides fine-grained synchronous and asynchronous 0-copy 1-sided abstracts for communication primitives such as `put()`, `get()`, `signal()`, `flush()`, and `wait()`. The 1-sided abstractions allows a user to asynchronously `put()` their data on the remote GPU as soon as it is ready without requiring the remote side to issue any receive instruction. This enables users to easily implement flexible communication logics, such as overlapping communication with computation, or implementing customized collective communication algorithms without worrying about potential deadlocks. Additionally, the 0-copy capability enables MSCCL++ to directly transfer data between user's buffers without using intermediate internal buffers which saves GPU bandwidth and memory capacity. MSCCL++ provides consistent abstractions regardless of the location of the remote GPU (either on the local node or on a remote node) or the underlying link (either NVLink/xGMI or InfiniBand). This simplifies the code for inter-GPU communication, which is often complex due to memory ordering of GPU/CPU read/writes and therefore, is error-prone.

The Artificial Intelligence Controller Interface (AICI) lets you build Controllers that constrain and direct output of a Large Language Model (LLM) in real time. Controllers are flexible programs capable of implementing constrained decoding, dynamic editing of prompts and generated text, and coordinating execution across multiple, parallel generations. Controllers incorporate custom logic during the token-by-token decoding and maintain state during an LLM request. This allows diverse Controller strategies, from programmatic or query-based decoding to multi-agent conversations to execute efficiently in tight integration with the LLM itself.

A curated list of Generative AI projects, tools, artworks, and models

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.

This repository serves as a practical guide for Medical Large Language Models (Medical LLMs) and provides resources, surveys, and tools for building, fine-tuning, and utilizing LLMs in the medical domain. It covers a wide range of topics including pre-training, fine-tuning, downstream biomedical tasks, clinical applications, challenges, future directions, and more. The repository aims to provide insights into the opportunities and challenges of LLMs in medicine and serve as a practical resource for constructing effective medical LLMs.

This repository is a curated list of papers focused on the detection of Large Language Models (LLMs)-generated content. It includes the latest research papers covering detection methods, datasets, attacks, and more. The repository is regularly updated to include the most recent papers in the field.

Chat Nio is a next-generation AI one-stop solution that provides a rich and user-friendly interface for interacting with various AI models. It offers features such as AI chat conversation, rich format compatibility, markdown support, message menu support, multi-platform adaptation, dialogue memory, full-model file parsing, full-model DuckDuckGo online search, full-screen large text editing, model marketplace, preset support, site announcements, preference settings, internationalization support, and a rich admin system. Chat Nio also boasts a powerful channel management system that utilizes a self-developed channel distribution algorithm, supports multi-channel management, is compatible with multiple formats, allows for custom models, supports channel retries, enables balanced load within the same channel, and provides channel model mapping and user grouping. Additionally, Chat Nio offers forwarding API services that are compatible with multiple formats in the OpenAI universal format and support multiple model compatible layers. It also provides a custom build and install option for highly customizable deployments. Chat Nio is an open-source project licensed under the Apache License 2.0 and welcomes contributions from the community.

cl-waffe2 is an experimental deep learning framework in Common Lisp, providing fast, systematic, and customizable matrix operations, reverse mode tape-based Automatic Differentiation, and neural network model building and training features accelerated by a JIT Compiler. It offers abstraction layers, extensibility, inlining, graph-level optimization, visualization, debugging, systematic nodes, and symbolic differentiation. Users can easily write extensions and optimize their networks without overheads. The framework is designed to eliminate barriers between users and developers, allowing for easy customization and extension.

**Curated collection of papers and resources on how to unlock the reasoning ability of LLMs and MLLMs.** **Description in less than 400 words, no line breaks and quotation marks.** Large Language Models (LLMs) have revolutionized the NLP landscape, showing improved performance and sample efficiency over smaller models. However, increasing model size alone has not proved sufficient for high performance on challenging reasoning tasks, such as solving arithmetic or commonsense problems. This curated collection of papers and resources presents the latest advancements in unlocking the reasoning abilities of LLMs and Multimodal LLMs (MLLMs). It covers various techniques, benchmarks, and applications, providing a comprehensive overview of the field. **5 jobs suitable for this tool, in lowercase letters.** - content writer - researcher - data analyst - software engineer - product manager **Keywords of the tool, in lowercase letters.** - llm - reasoning - multimodal - chain-of-thought - prompt engineering **5 specific tasks user can use this tool to do, in less than 3 words, Verb + noun form, in daily spoken language.** - write a story - answer a question - translate a language - generate code - summarize a document

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.

Ivy is an open-source machine learning framework that enables you to: * 🔄 **Convert code into any framework** : Use and build on top of any model, library, or device by converting any code from one framework to another using `ivy.transpile`. * ⚒️ **Write framework-agnostic code** : Write your code once in `ivy` and then choose the most appropriate ML framework as the backend to leverage all the benefits and tools. Join our growing community 🌍 to connect with people using Ivy. **Let's** unify.ai **together 🦾**

Ivy is an open-source machine learning framework that enables users to convert code between different ML frameworks and write framework-agnostic code. It allows users to transpile code from one framework to another, making it easy to use building blocks from different frameworks in a single project. Ivy also serves as a flexible framework that breaks free from framework limitations, allowing users to publish code that is interoperable with various frameworks and future frameworks. Users can define trainable modules and layers using Ivy's stateful API, making it easy to build and train models across different backends.

A Pythonic framework to simplify AI service building. The LeptonAI Python library allows you to build an AI service from Python code with ease. Key features include a Pythonic abstraction Photon, simple abstractions to launch models like those on HuggingFace, prebuilt examples for common models, AI tailored batteries, a client to automatically call your service like native Python functions, and Pythonic configuration specs to be readily shipped in a cloud environment.

LEADS is a lightweight embedded assisted driving system designed to simplify the development of instrumentation, control, and analysis systems for racing cars. It is written in Python and C/C++ with impressive performance. The system is customizable and provides abstract layers for component rearrangement. It supports hardware components like Raspberry Pi and Arduino, and can adapt to various hardware types. LEADS offers a modular structure with a focus on flexibility and lightweight design. It includes robust safety features, modern GUI design with dark mode support, high performance on different platforms, and powerful ESC systems for traction control and braking. The system also supports real-time data sharing, live video streaming, and AI-enhanced data analysis for driver training. LEADS VeC Remote Analyst enables transparency between the driver and pit crew, allowing real-time data sharing and analysis. The system is designed to be user-friendly, adaptable, and efficient for racing car development.

Pluto is a development tool dedicated to helping developers **build cloud and AI applications more conveniently** , resolving issues such as the challenging deployment of AI applications and open-source models. Developers are able to write applications in familiar programming languages like **Python and TypeScript** , **directly defining and utilizing the cloud resources necessary for the application within their code base** , such as AWS SageMaker, DynamoDB, and more. Pluto automatically deduces the infrastructure resource needs of the app through **static program analysis** and proceeds to create these resources on the specified cloud platform, **simplifying the resources creation and application deployment process**.

Expert in guiding and helping college students to write essay abstracts

Experto en APA 7ma Edición y redacción de artículos científicos

Supercharge your personal knowledge management journey by using a highlight capturing service (such as Readwise) and then turning those highlights into useful knowledge assets. Examples include flash cards, research abstracts or articles based off the highlights you collect and choose to combine.

SGF identifies research gaps using scholarly sources. It creates proposals with abstracts, literature reviews, and a reference list tailored for academic research.

Generate a structured abstract for academic papers, primarily in the field of biology, adhering to a specified word count range. Simply upload your manuscript file (without the abstract) and specify the word count (for example, '200-250') to GPT.

シンポジウムのタイトルを入力すると、抄録を作成してくれるGPTです。

Upon uploading a research paper, I provide a concise section wise analysis covering Abstract, Lit Review, Findings, Methodology, and Conclusion. I also critique the work, highlight its strengths, and answer any open questions from my Knowledge base of Open source materials.

可以用简单的语言和图画，帮助小孩子理解抽象的概念、事物或者原理。

Economist-style tone with accessible language.

Your SQL crafting companion.

I draft and send multilingual emails via Gmail.

Guides you on how to write a book in your own style

Create professional, clear, and effective emails to improve team communication

Use this GPT to outline your romance novel: design your story, your characters, obstacles, stakes, twists, arena, etc… Then ask GPT to draft the chapters ❤️ (remember: you are the brain, GPT is just the hand. Stay creative, use this GPT as an author!)

Rewrites text according to Paul Graham's writing principles

I provide writing feedback with a fun twist!

Provides legal and informative guidance on writing wills and estate planning.

I assist in writing letters, offering tips and formatting.

💎 The world's most powerful writer. 💎

Guiding novelists from idea to final draft with motivation and structure.