Best AI tools for< writing abstracts >

PatentPal is a generative AI tool that automates the mechanical writing of patent applications. It allows users to drop a document into the browser to input their claims and then generate a specification and figures with one click. The generated content can be exported into Word, Visio, or PowerPoint. PatentPal also allows users to customize generated phrases according to their own preferences and see the specification update in real time. Additionally, users can create multiple profiles and instantly switch between them.

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.

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.

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.

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.

SEO Writing AI is an AI-powered writing tool that helps users create SEO-optimized articles, blog posts, and affiliate content in just a few clicks. With its user-friendly interface and advanced features, SEO Writing AI makes it easy for anyone to generate high-quality content that ranks well in search results. Some of the key features of SEO Writing AI include the ability to generate articles in over 48 languages, automatically post articles to WordPress, and optimize content for specific keywords. SEO Writing AI also offers a variety of templates and tools to help users create engaging and informative content. Overall, SEO Writing AI is a valuable tool for anyone who wants to improve their content marketing efforts.

Frontitude is an AI writing assistant designed specifically for design teams, offering a seamless integration with Figma to help users write engaging and consistent UX content effortlessly. The tool provides copy suggestions based on design elements, character limits, and length, empowering teams to deliver better user experiences and save time on writing tasks. Frontitude also allows users to embed content guidelines into their design components, streamlining design reviews and critiques. With a focus on product copy and UX writing best practices, Frontitude's AI Writing Assistant is a valuable tool for designers looking to maintain a consistent voice and enhance their workflow.

This AI writing assistant is a free online tool that helps users generate unique, high-quality content quickly and easily. With its advanced features and capabilities, this tool is perfect for anyone who wants to improve their writing skills, save time, and boost their productivity. The tool offers a variety of features, including limitless content creation, intuitive text generation, advanced grammar and style correction, content personalization and tone adjustment, and multilingual content creation support. It can be used for a variety of writing tasks, including blog posts and articles, technical documentation, social media posts, product descriptions, academic essays, research papers, SEO content, and technical writing.

Strut is a complete writing workspace that combines notes, documents, and writing projects in collaborative workspaces supported by AI. It helps users capture notes, organize projects, and collaborate with their team alongside AI to keep the writing process moving forward. Strut offers deep focus modes, project workspaces organization, writing inbox, drag & drop functionality, and AI workflows for brainstorming ideas, generating outlines, and more. The AI collaborator provides suggestions, edits, research, and inspiration to support writing tasks without automating the process.

Logolept is a writing assistant tool that helps users generate creative content. It provides a variety of features to help writers overcome writer's block and produce high-quality content. Logolept is designed to be easy to use and can be used by writers of all levels.

JibeWith is an AI-powered writing tool that helps you create engaging and effective online media content. With JibeWith, you can easily generate high-quality articles, blog posts, social media updates, and more. JibeWith's AI engine is trained on a massive dataset of text and images, so it can generate content that is both informative and visually appealing. JibeWith is also easy to use. Simply enter a few keywords and JibeWith will generate unique content tailored to your specific needs.

Jaq n Jil is a writing assistant that helps users create high-quality, long-form content. It uses artificial intelligence to generate text that is both informative and engaging. Jaq n Jil is designed to make writing easier and more efficient, and it can be used by anyone, from students to professional writers.

RubyGPT.ai is an AI-powered writing assistant that helps users create various types of written content, including essays, taglines, poems, emails, and stories. It is designed to overcome writer's block, generate ideas, improve writing quality, and save time. The tool offers a user-friendly interface and a wide range of writing templates to cater to different needs.

Flot AI is an AI-powered platform that assists users in writing, reading, and memorizing with the help of Al, the virtual assistant. It provides innovative solutions for enhancing productivity and learning efficiency. With Flot AI, users can create, edit, and organize their written content, improve reading comprehension, and enhance memory retention through personalized techniques and interactive exercises.

Lektika is an AI tool designed to assist users in enhancing their writing skills. It provides a platform where users can subscribe to access AI-powered features that help improve their writing quality. With a focus on grammar, syntax, and vocabulary, Lektika offers personalized suggestions and corrections to enhance the overall clarity and coherence of written content. By leveraging AI technology, Lektika aims to streamline the writing process and empower users to communicate more effectively.

LanguageTool is an AI-based spelling, style, and grammar checker that helps correct or paraphrase texts across languages. It offers a range of features including grammar checking, paraphrasing, punctuation correction, style improvement, and more. LanguageTool is available as a browser extension, desktop app, and mobile app, and it supports over 30 languages. It is used by over 2000 organizations, including BMW Group, European Union, Spiegel Magazine, and Deutsche Presse-Agentur (dpa).

HIX.AI is an all-in-one AI writing copilot that provides over 120 AI writing tools to enhance your writing experience. It offers a wide range of tools for various writing tasks, including article writing, email composition, paraphrasing, summarizing, grammar checking, and more. HIX.AI is powered by advanced AI technology, including ChatGPT 3.5/4, and supports over 50 languages. It aims to help writers overcome writer's block, improve their writing quality, and save time and effort.

Quetext is a plagiarism checker and AI content detector that helps students, teachers, and professionals identify potential plagiarism and AI in their work. With its deep search technology, contextual analysis, and smart algorithms, Quetext makes checking writing easier and more accurate. Quetext also offers a variety of features such as bulk uploads, source exclusion, enhanced citation generator, grammar & spell check, and Deep Search. With its rich and intuitive feedback, Quetext helps users find plagiarism and AI with less stress.

Trinka is an AI-powered English grammar checker and language enhancement writing assistant designed for academic and technical writing. It corrects contextual spelling mistakes and advanced grammar errors by providing writing suggestions in real-time. Trinka helps professionals and academics ensure formal, concise, and engaging writing. Trinka's Enterprise solutions come with unlimited access and great customization options to all of Trinka's powerful capabilities.

Trinka is an AI-powered English grammar checker and language enhancement writing assistant designed for academic and technical writing. It corrects contextual spelling mistakes and advanced grammar errors by providing writing suggestions in real-time. Trinka helps professionals and academics ensure formal, concise, and engaging writing.

Starwhale is an MLOps/LLMOps platform that brings efficiency and standardization to machine learning operations. It streamlines the model development lifecycle, enabling teams to optimize workflows around key areas like model building, evaluation, release, and fine-tuning. Starwhale abstracts Model, Runtime, and Dataset as first-class citizens, providing tailored capabilities for common workflow scenarios including Models Evaluation, Live Demo, and LLM Fine-tuning. It is an open-source platform designed for clarity and ease of use, empowering developers to build customized MLOps features tailored to their needs.

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.

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

ChatData is a robust chat-with-documents application designed to extract information and provide answers by querying the MyScale free knowledge base or uploaded documents. It leverages the Retrieval Augmented Generation (RAG) framework, millions of Wikipedia pages, and arXiv papers. Features include self-querying retriever, VectorSQL, session management, and building a personalized knowledge base. Users can effortlessly navigate vast data, explore academic papers, and research documents. ChatData empowers researchers, students, and knowledge enthusiasts to unlock the true potential of information retrieval.

The Spring AI project provides a Spring-friendly API and abstractions for developing AI applications. It offers a portable client API for interacting with generative AI models, enabling developers to easily swap out implementations and access various models like OpenAI, Azure OpenAI, and HuggingFace. Spring AI also supports prompt engineering, providing classes and interfaces for creating and parsing prompts, as well as incorporating proprietary data into generative AI without retraining the model. This is achieved through Retrieval Augmented Generation (RAG), which involves extracting, transforming, and loading data into a vector database for use by AI models. Spring AI's VectorStore abstraction allows for seamless transitions between different vector database implementations.

LangChain is a C# implementation of the LangChain library, which provides a composable way to build applications with LLMs (Large Language Models). It offers a variety of features, including: - A unified interface for interacting with different LLMs, such as OpenAI's GPT-3 and Microsoft's Azure OpenAI Service - A set of pre-built chains that can be used to perform common tasks, such as question answering, summarization, and translation - A flexible API that allows developers to create their own custom chains - A growing community of developers and users who are contributing to the project LangChain is still under development, but it is already being used to build a variety of applications, including chatbots, search engines, and writing assistants. As the project continues to mature, it is expected to become an increasingly valuable tool for developers who want to build applications with LLMs.

Clippinator is a code assistant tool that helps users develop code autonomously by planning, writing, debugging, and testing projects. It consists of agents based on GPT-4 that work together to assist the user in coding tasks. The main agent, Taskmaster, delegates tasks to specialized subagents like Architect, Writer, Frontender, Editor, QA, and Devops. The tool provides project architecture, tools for file and terminal operations, browser automation with Selenium, linting capabilities, CI integration, and memory management. Users can interact with the tool to provide feedback and guide the coding process, making it a powerful tool when combined with human intervention.

Cognita is an open-source framework to organize your RAG codebase along with a frontend to play around with different RAG customizations. It provides a simple way to organize your codebase so that it becomes easy to test it locally while also being able to deploy it in a production ready environment. The key issues that arise while productionizing RAG system from a Jupyter Notebook are: 1. **Chunking and Embedding Job** : The chunking and embedding code usually needs to be abstracted out and deployed as a job. Sometimes the job will need to run on a schedule or be trigerred via an event to keep the data updated. 2. **Query Service** : The code that generates the answer from the query needs to be wrapped up in a api server like FastAPI and should be deployed as a service. This service should be able to handle multiple queries at the same time and also autoscale with higher traffic. 3. **LLM / Embedding Model Deployment** : Often times, if we are using open-source models, we load the model in the Jupyter notebook. This will need to be hosted as a separate service in production and model will need to be called as an API. 4. **Vector DB deployment** : Most testing happens on vector DBs in memory or on disk. However, in production, the DBs need to be deployed in a more scalable and reliable way. Cognita makes it really easy to customize and experiment everything about a RAG system and still be able to deploy it in a good way. It also ships with a UI that makes it easier to try out different RAG configurations and see the results in real time. You can use it locally or with/without using any Truefoundry components. However, using Truefoundry components makes it easier to test different models and deploy the system in a scalable way. Cognita allows you to host multiple RAG systems using one app. ### Advantages of using Cognita are: 1. A central reusable repository of parsers, loaders, embedders and retrievers. 2. Ability for non-technical users to play with UI - Upload documents and perform QnA using modules built by the development team. 3. Fully API driven - which allows integration with other systems. > If you use Cognita with Truefoundry AI Gateway, you can get logging, metrics and feedback mechanism for your user queries. ### Features: 1. Support for multiple document retrievers that use `Similarity Search`, `Query Decompostion`, `Document Reranking`, etc 2. Support for SOTA OpenSource embeddings and reranking from `mixedbread-ai` 3. Support for using LLMs using `Ollama` 4. Support for incremental indexing that ingests entire documents in batches (reduces compute burden), keeps track of already indexed documents and prevents re-indexing of those docs.

RAFT (Reusable Accelerated Functions and Tools) is a C++ header-only template library with an optional shared library that contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.

Hof is a CLI tool that unifies data models, schemas, code generation, and a task engine. It allows users to augment data, config, and schemas with CUE to improve consistency, generate multiple Yaml and JSON files, explore data or config with a TUI, and run workflows with automatic task dependency inference. The tool uses CUE to power the DX and implementation, providing a language for specifying schemas, configuration, and writing declarative code. Hof offers core features like code generation, data model management, task engine, CUE cmds, creators, modules, TUI, and chat for better, scalable results.

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.

Awesome-Story-Generation is a repository that curates a comprehensive list of papers related to Story Generation and Storytelling, focusing on the era of Large Language Models (LLMs). The repository includes papers on various topics such as Literature Review, Large Language Model, Plot Development, Better Storytelling, Story Character, Writing Style, Story Planning, Controllable Story, Reasonable Story, and Benchmark. It aims to provide a chronological collection of influential papers in the field, with a focus on citation counts for LLMs-era papers and some earlier influential papers. The repository also encourages contributions and feedback from the community to improve the collection.

Gemini AI is a Ruby Gem designed to provide low-level access to Google's generative AI services through Vertex AI, Generative Language API, or AI Studio. It allows users to interact with Gemini to build abstractions on top of it. The Gem provides functionalities for tasks such as generating content, embeddings, predictions, and more. It supports streaming capabilities, server-sent events, safety settings, system instructions, JSON format responses, and tools (functions) calling. The Gem also includes error handling, development setup, publishing to RubyGems, updating the README, and references to resources for further learning.

IntelliNode is a javascript module that integrates cutting-edge AI models like ChatGPT, LLaMA, WaveNet, Gemini, and Stable diffusion into projects. It offers functions for generating text, speech, and images, as well as semantic search, multi-model evaluation, and chatbot capabilities. The module provides a wrapper layer for low-level model access, a controller layer for unified input handling, and a function layer for abstract functionality tailored to various use cases.

AI-Writer is an AI content generation toolkit called Alwrity that automates and enhances the process of blog creation, optimization, and management. It integrates advanced AI models for text generation, image creation, and data analysis, offering features such as online research integration, long-form content generation, AI content planning, multilingual support, prevention of AI hallucinations, multimodal content generation, SEO optimization, and integration with platforms like Wordpress and Jekyll. The toolkit is designed for automated blog management and requires appropriate API keys and access credentials for full functionality.

Fractl is a programming language designed for generative AI, making it easier for developers to work with AI-generated code. It features a data-oriented and declarative syntax, making it a better fit for generative AI-powered code generation. Fractl also bridges the gap between traditional programming and visual building, allowing developers to use multiple ways of building, including traditional coding, visual development, and code generation with generative AI. Key concepts in Fractl include a graph-based hierarchical data model, zero-trust programming, declarative dataflow, resolvers, interceptors, and entity-graph-database mapping.

MediaAI is a repository containing lectures and materials for Aalto University's AI for Media, Art & Design course. The course is a hands-on, project-based crash course focusing on deep learning and AI techniques for artists and designers. It covers common AI algorithms & tools, their applications in art, media, and design, and provides hands-on practice in designing, implementing, and using these tools. The course includes lectures, exercises, and a final project based on students' interests. Students can complete the course without programming by creatively utilizing existing tools like ChatGPT and DALL-E. The course emphasizes collaboration, peer-to-peer tutoring, and project-based learning. It covers topics such as text generation, image generation, optimization, and game AI.

Apache Airflow (or simply Airflow) is a platform to programmatically author, schedule, and monitor workflows. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative. Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed.

Sycamore is a conversational search and analytics platform for complex unstructured data, such as documents, presentations, transcripts, embedded tables, and internal knowledge repositories. It retrieves and synthesizes high-quality answers through bringing AI to data preparation, indexing, and retrieval. Sycamore makes it easy to prepare unstructured data for search and analytics, providing a toolkit for data cleaning, information extraction, enrichment, summarization, and generation of vector embeddings that encapsulate the semantics of data. Sycamore uses your choice of generative AI models to make these operations simple and effective, and it enables quick experimentation and iteration. Additionally, Sycamore uses OpenSearch for indexing, enabling hybrid (vector + keyword) search, retrieval-augmented generation (RAG) pipelining, filtering, analytical functions, conversational memory, and other features to improve information retrieval.

Expert in guiding and helping college students to write essay abstracts

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。

Experto en APA 7ma Edición y redacción de artículos científicos

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.

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.

Analyzes your writing style and produces guidance for ChatGPT to mimic your tone.

Enhanced FAANG Writing coach with spell check and readability tools

📝 Writing Tools , TRY THEM !

a writing assistant with extensive experience in writing and teaching, assisting users in various forms of English writing such as blog writing, essay writing, and more.

The Writing Metier Footnote Assistant is a specialized GPT model designed to help students efficiently create, format, and verify footnotes for their academic papers.

This prompt acts as an expert in literary analysis, specialized in identifying and replicating writing styles.

I assist freelance writers with business and writing tips.

I'm a CV assistant that crafts project stories.

Expert in non-profit organization support and grant writing. Start by uploading the grant you want to apply for.

I'm eager to read your work and give you feedback to improve your skills.

Transforms academic writing to an interdisciplinary health sciences writing style, with clarity and interdisciplinary focus.

TOEFL writing coach with timing.

Analyzes and rates IELTS writing, then guides on improvement

Expert in refining SCI papers for academic submission with detailed feedback.