Best AI tools for< Understand Scientific Articles >

SciSummary is an AI-powered tool designed to summarize scientific articles and research papers quickly and efficiently. It leverages cutting-edge Artificial Intelligence models like GPT-3.5 and GPT-4 to provide accurate and concise summaries for busy scientists, students, and enthusiasts. With features such as unlimited summaries, figure and table analysis, and easy document import, SciSummary aims to streamline the process of digesting complex scientific content. The tool is widely used by researchers, students, and faculty across major universities in the US, offering a valuable solution for literature review, research trends tracking, and information retrieval.

Jotlify is an AI-powered platform that simplifies complex research papers, making them accessible and easy to understand for students, researchers, professionals, and curious minds. It transforms dense academic content into engaging stories and insights, bridging the gap between complex research and easy understanding. With Jotlify, users can uncover stories and insights that can transform their understanding and impact various aspects of their lives.

Scite is an award-winning platform for discovering and evaluating scientific articles via Smart Citations. Smart Citations allow users to see how a publication has been cited by providing the context of the citation and a classification describing whether it provides supporting or contrasting evidence for the cited claim.

Summarize Paper .com is an open-source AI tool that provides concise, understandable, and insightful summaries of the latest research articles on arXiv. The tool uses AI to generate key points and layman's summaries of research papers, making it easy for users to stay up-to-date with the latest developments in their field. In addition to its summary service, Summarize Paper .com also offers an AI assistant that can answer questions about arXiv papers. The tool is designed to make it easy for researchers, students, journalists, and anyone else who wants to stay informed about the latest research to access and understand the latest findings.

Semantic Scholar is a free, AI-powered research tool for scientific literature. It is based at the Allen Institute for AI and provides access to over 217 million papers from all fields of science. Semantic Scholar uses AI to help users discover and explore scientific literature, and to stay up-to-date on the latest research. The tool also includes a number of features to help users manage their research, such as the ability to save papers, create bibliographies, and share research with others.

The website focuses on groundbreaking research and studies across various scientific fields, including quantum communication, semiconductor dynamics, mental health support, dietary interventions, computer vision, autonomous systems safety, machine learning applications, and astrophysical observations. It covers innovative findings, theoretical studies, and technological advancements that have the potential to reshape industries and scientific understanding.

Palmyst is an AI-powered palm reading application that offers personalized, instant, and interactive palm readings to help users gain insights into various aspects of their lives, including financial health, career opportunities, personal growth, physical health, and relationships. The app uses advanced AI technology to analyze palm lines and patterns, providing accurate and detailed insights. Users can ask questions based on the readings to make informed decisions. Palmyst aims to objectively assess the ancient teachings of palmistry using modern research, data analysis, and AI, driven by evidence and scientific inquiry.

AI Summer is a free educational platform that covers research and applied trends in AI and Deep Learning. It provides accessible and comprehensive content from the entire spectrum of AI to bridge the gap between researchers and the public. The platform simplifies complex concepts and drives scientific research by offering highly-detailed overviews of recent deep learning developments and thorough tutorials on popular frameworks. AI Summer is a community that seeks to demystify the AI landscape and enable new technological innovations.

OpenRead is an AI-powered research tool that helps users discover, understand, and organize scientific literature. It offers a variety of features to make research more efficient and effective, including semantic search, AI summarization, and note-taking tools. OpenRead is designed to help researchers of all levels, from students to experienced professionals, save time and improve their research outcomes.

xAI Grok is a visual analytics platform that helps users understand and interpret machine learning models. It provides a variety of tools for visualizing and exploring model data, including interactive charts, graphs, and tables. xAI Grok also includes a library of pre-built visualizations that can be used to quickly get started with model analysis.

Brandwatch is a social media management and analytics platform that helps businesses understand and engage with their customers. It offers a range of features, including social listening, influencer marketing, and content management. Brandwatch is used by some of the world's largest brands, including Virgin Holidays, OnePlus, and Metia.

Sourcegraph is a code intelligence platform that helps developers write, fix, and maintain code faster. It uses artificial intelligence to understand the code graph and provide insights that help developers focus on writing and shipping code. Sourcegraph is used by over 2.5 million engineers at companies like Google, Amazon, and Microsoft.

Digimind is an intelligence software platform that provides solutions for brand reputation, competitive intelligence, consumer insights, influencer identification, trend tracking, and campaign analysis. It leverages Artificial Intelligence (AI) to collect and analyze billions of content pieces, offering real-time market intelligence and helping users fully understand consumer insights and market trends. The platform is trusted by global brands and agencies, offering easy-to-read, up-to-date analysis and reports. Digimind's AI Sense technology provides automated curation and recommended actions, delivering compelling reports instantly.

Explainpaper is an AI-powered tool designed to simplify and explain complex research papers. Users can upload a paper, highlight confusing text, and receive explanations to make the content easier to understand. The tool leverages AI and machine learning models to break down dense sections and clarify intricate concepts, ultimately making research papers more accessible to a wider audience. It is a valuable resource for researchers, students, and anyone looking to delve into complex topics with confidence.

InstantPersonas is an AI-powered tool that allows users to generate detailed user personas in seconds. It helps marketers and business owners understand their audience better by providing real-time insights into the thoughts of their audience. With InstantPersonas, users can create persona-driven content that resonates with their target audience, ultimately improving their content creation process and marketing strategies. The tool offers industry-leading AI capabilities at an affordable price, making it a valuable asset for businesses looking to enhance their marketing efforts.

Opnbx is a bespoke revenue operating platform that helps sales teams understand their target market and prioritize their sales and marketing efforts. It uses AI to learn from a company's revenue team and scour billions of data points to give a real-time view of the market. Opnbx also provides insights into which companies are in buying mode right now and which prospects are visiting a company's website in real-time. It provides persona and contact details, including mobile numbers and email addresses, and has an AI email writing platform that provides the right research to create personalized and relevant messages in seconds.

PandaChat is a suite of AI-powered products designed to enhance productivity and streamline communication. It offers a range of tools for both personal and business use, including: - PandaChat Assistant: A virtual assistant that can chat with users, summarize articles, and answer questions based on uploaded documents or online content. - PandaChat Live: A platform for embedding chatbots on websites, providing personalized support and enhancing user experience. - Hai News: An AI tool that allows users to chat with news articles, providing summaries and insights on specific topics. - Hai Surf: An AI tool that enables users to chat with any web content, extracting information and answering questions. PandaChat is committed to data security and privacy, giving users control over their data and offering on-premises installation for businesses. It has been recognized for its innovation, winning the AI/Machine Learning Innovation of the Year award at the SDC Awards.

Theodore AI is an AI-powered tool that helps users understand complex topics quickly and easily. With just three clicks, users can get a clear and concise explanation of any topic, making it perfect for students, researchers, and anyone who wants to learn something new.

SiteExplainer is an AI-powered web application that helps users understand the purpose of any website quickly and accurately. It uses advanced artificial intelligence and machine learning technology to analyze the content of a website and present a summary of the main ideas and key points. SiteExplainer simplifies the language used on landing pages and eliminates corporate jargon to help visitors better understand a website's content.

Menu Mystic is an AI-powered tool designed to help users understand and navigate restaurant menus with ease. By simply scanning a menu, users can access detailed explanations for each dish, along with wine and dessert pairing recommendations. The tool utilizes advanced AI and image recognition technology to provide a seamless dining experience, allowing users to make informed choices and explore a variety of cuisines from around the world.

Smart Connections is an AI-powered plugin for Obsidian that helps you discover hidden connections and insights in your notes. With features like Smart View for real-time relevant note suggestions and Smart Chat for chatting with your notes, Smart Connections makes it easier than ever to stay organized and uncover hidden connections between your notes. Its intuitive interface and customizable settings ensure a seamless experience, tailored to your unique needs and preferences.

The 'machine-learning-research' repository is a comprehensive collection of resources related to mathematics, machine learning, deep learning, artificial intelligence, data science, and various scientific fields. It includes materials such as courses, tutorials, books, podcasts, communities, online courses, papers, and dissertations. The repository covers topics ranging from fundamental math skills to advanced machine learning concepts, with a focus on applications in healthcare, genetics, computational biology, precision health, and AI in science. It serves as a valuable resource for individuals interested in learning and researching in the fields of machine learning and related disciplines.

Data-to-paper is an AI-driven framework designed to guide users through the process of conducting end-to-end scientific research, starting from raw data to the creation of comprehensive and human-verifiable research papers. The framework leverages a combination of LLM and rule-based agents to assist in tasks such as hypothesis generation, literature search, data analysis, result interpretation, and paper writing. It aims to accelerate research while maintaining key scientific values like transparency, traceability, and verifiability. The framework is field-agnostic, supports both open-goal and fixed-goal research, creates data-chained manuscripts, involves human-in-the-loop interaction, and allows for transparent replay of the research process.

InterpretML is an open-source package that incorporates state-of-the-art machine learning interpretability techniques under one roof. With this package, you can train interpretable glassbox models and explain blackbox systems. InterpretML helps you understand your model's global behavior, or understand the reasons behind individual predictions. Interpretability is essential for: - Model debugging - Why did my model make this mistake? - Feature Engineering - How can I improve my model? - Detecting fairness issues - Does my model discriminate? - Human-AI cooperation - How can I understand and trust the model's decisions? - Regulatory compliance - Does my model satisfy legal requirements? - High-risk applications - Healthcare, finance, judicial, ...

This repository does not provide a tool, but rather a collection of resources and strategies for academics in the field of artificial intelligence who are feeling depressed or overwhelmed by the rapid advancements in the field. The resources include articles, blog posts, and other materials that offer advice on how to cope with the challenges of working in a fast-paced and competitive environment.

PaperQA is a minimal package for question and answering from PDFs or text files, providing very good answers with in-text citations. It uses OpenAI Embeddings to embed and search documents, and includes a process of embedding docs, queries, searching for top passages, creating summaries, using an LLM to re-score and select relevant summaries, putting summaries into prompt, and generating answers. The tool can be used to answer specific questions related to scientific research by leveraging citations and relevant passages from documents.

This repository provides a curated list of papers, datasets, and resources related to the detection and mitigation of hallucinations in large language models (LLMs). Hallucinations refer to the generation of factually incorrect or nonsensical text by LLMs, which can be a significant challenge for their use in real-world applications. The resources in this repository aim to help researchers and practitioners better understand and address this issue.

BIA `bob` is a Jupyter-based assistant for interacting with data using large language models to generate Python code. It can utilize OpenAI's chatGPT, Google's Gemini, Helmholtz' blablador, and Ollama. Users need respective accounts to access these services. Bob can assist in code generation, bug fixing, code documentation, GPU-acceleration, and offers a no-code custom Jupyter Kernel. It provides example notebooks for various tasks like bio-image analysis, model selection, and bug fixing. Installation is recommended via conda/mamba environment. Custom endpoints like blablador and ollama can be used. Google Cloud AI API integration is also supported. The tool is extensible for Python libraries to enhance Bob's functionality.

Awesome AI is a curated list of artificial intelligence resources including courses, tools, apps, and open-source projects. It covers a wide range of topics such as machine learning, deep learning, natural language processing, robotics, conversational interfaces, data science, and more. The repository serves as a comprehensive guide for individuals interested in exploring the field of artificial intelligence and its applications across various domains.

The 'nlp-llms-resources' repository is a comprehensive resource list for Natural Language Processing (NLP) and Large Language Models (LLMs). It covers a wide range of topics including traditional NLP datasets, data acquisition, libraries for NLP, neural networks, sentiment analysis, optical character recognition, information extraction, semantics, topic modeling, multilingual NLP, domain-specific LLMs, vector databases, ethics, costing, books, courses, surveys, aggregators, newsletters, papers, conferences, and societies. The repository provides valuable information and resources for individuals interested in NLP and LLMs.

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

This repository is a collection of papers on Tabular Large Language Models (LLMs) specialized for processing tabular data. It includes surveys, models, and applications related to table understanding tasks such as Table Question Answering, Table-to-Text, Text-to-SQL, and more. The repository categorizes the papers based on key ideas and provides insights into the advancements in using LLMs for processing diverse tables and fulfilling various tabular tasks based on natural language instructions.

The LLMEvaluation repository is a comprehensive compendium of evaluation methods for Large Language Models (LLMs) and LLM-based systems. It aims to assist academics and industry professionals in creating effective evaluation suites tailored to their specific needs by reviewing industry practices for assessing LLMs and their applications. The repository covers a wide range of evaluation techniques, benchmarks, and studies related to LLMs, including areas such as embeddings, question answering, multi-turn dialogues, reasoning, multi-lingual tasks, ethical AI, biases, safe AI, code generation, summarization, software performance, agent LLM architectures, long text generation, graph understanding, and various unclassified tasks. It also includes evaluations for LLM systems in conversational systems, copilots, search and recommendation engines, task utility, and verticals like healthcare, law, science, financial, and others. The repository provides a wealth of resources for evaluating and understanding the capabilities of LLMs in different domains.

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)

Awesome-LLM-Eval: a curated list of tools, benchmarks, demos, papers for Large Language Models (like ChatGPT, LLaMA, GLM, Baichuan, etc) Evaluation on Language capabilities, Knowledge, Reasoning, Fairness and Safety.

Your personal tutor for biochemistry

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Explain scientific papers using the 3-pass method for efficient understanding. After uploading a paper, you can enter First pass/Second pass /Third pass / Q&A to get different level of response from SciPlore.

Science informed guide

I will help you finding and understanding scientific studies

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A GPT that explains research methods in a language that everyone can easily understand.

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Guide to create and understand GPTs, with latest insights and practical tips.

Easy-to-understand guidance for non-profits in crafting impactful press releases.

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