Best AI tools for< Encourage Citations >

Insights is an AI tool designed to support UKSG's mission by connecting the information community and encouraging the exchange of ideas on scholarly communication. It provides a forum for stakeholders in the global knowledge community to communicate and exchange ideas. Insights disseminates news, information, and publications to raise awareness of services supporting the scholarly information sector. The journal was previously known as Serials: The Journal for the Serials Community and has been fully digitized and is openly accessible at serials.uksg.org.

TinyTales is an AI-powered platform that allows users to create personalized stories for children. With TinyTales, you can create stories that reflect the world around your child, and encourage their creativity and imagination. You can customize the story style to make it more interesting and exciting by choosing from different options of illustration style, narration, and dialogue. Once you have generated your story, you can make any changes you want to adapt it to your liking. TinyTales is the perfect tool to make children have fun while developing their imagination and creativity.

Intuition Robotics is the creator of ElliQ, an AI care companion robot designed for older adults to reduce loneliness, improve health and wellness, and enhance social connectedness. The company focuses on infusing AI with empathy through their proprietary Relationship Orchestrator, which integrates with various LLMs to build ongoing engagement and drive positive outcomes. ElliQ leverages context, multimodality, goals, personalization, and proactivity to create a tailored and effective companion experience for users.

Artemis AI is an AI-powered application that offers personalized bedtime stories focusing on empathy and emotional intelligence for children. The app features inclusive representation, personalized storytelling, and a free trial with limitless imagination. Users can create unique stories tailored to their child's needs and interests, fostering a stronger bond and love for reading. With over 125K story combinations built-in, Artemis AI aims to shape meaningful moments and impart valuable life lessons through empathy-based storytelling.

Coloring Pages AI is an innovative platform that allows users to create personalized coloring pages using artificial intelligence technology. Users can input prompts and select from a variety of parameters to generate unique designs for children to color. The platform offers a wide range of design types and inspiration, making it easy for parents and caregivers to engage children in creative activities. With high-resolution images, multiple filters, and design options, Coloring Pages AI provides a fun and educational way to spark imagination and artistic expression in kids.

EncourageBot is an AI-powered application designed to provide users with daily doses of motivation and encouragement. The platform utilizes advanced algorithms to generate personalized messages and quotes to uplift and inspire individuals in various aspects of their lives. Users can receive positive affirmations, motivational quotes, and encouraging messages to boost their morale and mental well-being. EncourageBot aims to spread positivity and motivation in a convenient and accessible way, making it easier for users to stay motivated and focused on their goals.

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BookHero is an online platform that provides parents with a library of over 100 books to read to their children. Parents can also create their own books in just minutes using BookHero's WordPics illustrations. WordPics are beautiful illustrations that help children improve their vocabulary and spelling.

SnoozeSaga is a personalized bedtime story app that lets your child become the hero of their own adventure. With AI-crafted stories, guided meditation, and interactive activities, SnoozeSaga makes bedtime delightful, inspiring, and educational.

HappyPagesAI is an AI coloring page generator that allows users to create personalized coloring pages for children. The application uses AI technology to turn ideas into designs in 3 easy steps, providing a platform for children to explore their creativity and imagination. With a catalog of over 5000 coloring pages available for free download and print, HappyPagesAI aims to offer a fun and educational experience for kids and parents alike.

LAION is a non-profit organization that provides datasets, tools, and models to advance machine learning research. The organization's goal is to promote open public education and encourage the reuse of existing datasets and models to reduce the environmental impact of machine learning research.

Skeptic Reader is a Chrome plugin that detects biases and logical fallacies in real-time. It's powered by GPT4 and helps users to critically evaluate the information they consume online. The plugin highlights biases and fallacies, provides counter-arguments, and suggests alternative perspectives. It's designed to promote informed skepticism and encourage users to question the information they encounter online.

Robot Spirit Guide is a website that offers a unique approach to exploring religious books. Users can ask questions and receive insights from a supernatural perspective. The platform allows users to select different faiths to consult, including Christianity, Judaism, Buddhism, Islam, Atheism, and Hinduism. Users can also suggest new faiths for consultation. The website is designed to provide a different perspective on spiritual matters and encourage users to broaden their understanding of various religions.

Kardow is the ultimate AI-powered blog builder that allows users to create and manage professional blogs without the need for any setup or coding. With features like AI writer, image generator, SEO optimization, multi-language support, and social media integration, Kardow aims to make blogging accessible to everyone. The platform offers personalized text and image recommendations to optimize the writer's workflow and encourage creativity, enabling users to generate high-quality content quickly and easily.

The Deepfake Detection Challenge Dataset is a project initiated by Facebook AI to accelerate the development of new ways to detect deepfake videos. The dataset consists of over 100,000 videos and was created in collaboration with industry leaders and academic experts. It includes two versions: a preview dataset with 5k videos and a full dataset with 124k videos, each featuring facial modification algorithms. The dataset was used in a Kaggle competition to create better models for detecting manipulated media. The top-performing models achieved high accuracy on the public dataset but faced challenges when tested against the black box dataset, highlighting the importance of generalization in deepfake detection. The project aims to encourage the research community to continue advancing in detecting harmful manipulated media.

Pet Mind Reader is an AI-powered platform that revolutionizes how pet owners understand their furry companions. Using advanced artificial intelligence and computer vision technology, the platform analyzes pet images to generate creative and insightful interpretations of what pets might be thinking. It bridges scientific innovation with creative entertainment, offering imaginative insights based on AI analysis and animal behavior research. The goal is to spark imagination, encourage empathy towards pets, provide a fun, engaging experience, and potentially offer insights into pet behavior.

Taiga is an AI-powered coding mentor that integrates with Slack. It provides real-time feedback, guidance, and tailored recommendations to help users learn software engineering in a fun and interactive way. Taiga offers a wide range of features, including step-by-step guidance, real-time answers, personalized learning experiences, seamless Slack integration, and accessibility on multiple devices.

ToyPal is an AI-powered storytelling toy designed for kids to enhance their learning experience and promote positive habits. It allows parents to craft personalized stories featuring their child's name, guiding them towards healthy routines. The application focuses on improving children's behavior through engaging and imaginative storytelling, creating a unique bond between the child and their favorite soft toy. ToyPal offers a safe and screen-free environment, with a rich library of 500+ free stories and a supportive parent community.

Tala is an AI-powered language tutor designed for hands-on learners. It encourages free-flowing conversation early in the learning journey, focusing on natural language acquisition rather than rote memorization. With advanced speech recognition technology, Tala helps users build confidence in speaking and offers a flexible learning experience with adjustable listening speeds and easy access to look-up tools. The platform aims to make language learning engaging and immersive, allowing users to practice without fear of embarrassment and improve their pronunciation through interactive conversations.

Library of Congress Labs is an AI tool that focuses on experimenting with artificial intelligence and machine learning at the Library of Congress. It encourages innovation with digital collections, research, and events. The platform aims to explore cultural heritage, connect communities, and center the histories and experiences of communities of color.

A.I. for GNU Image Manipulation Program (GIMP-ML) is a repository that provides Python plugins for using computer vision models in GIMP. The code base and models are continuously updated to support newer and more stable functionality. Users can edit images with text, outpaint images, and generate images from text using models like Dalle 2 and Dalle 3. The repository encourages citations using a specific bibtex entry and follows the MIT license for GIMP-ML and the original models.

Vectara Answer is a sample app for Vectara-powered Summarized Semantic Search (or question-answering) with advanced configuration options. For examples of what you can build with Vectara Answer, check out Ask News, LegalAid, or any of the other demo applications.

Prometheus-Eval is a repository dedicated to evaluating large language models (LLMs) in generation tasks. It provides state-of-the-art language models like Prometheus 2 (7B & 8x7B) for assessing in pairwise ranking formats and achieving high correlation scores with benchmarks. The repository includes tools for training, evaluating, and using these models, along with scripts for fine-tuning on custom datasets. Prometheus aims to address issues like fairness, controllability, and affordability in evaluations by simulating human judgments and proprietary LM-based assessments.

Data Prep Kit is a community project aimed at democratizing and speeding up unstructured data preparation for LLM app developers. It provides high-level APIs and modules for transforming data (code, language, speech, visual) to optimize LLM performance across different use cases. The toolkit supports Python, Ray, Spark, and Kubeflow Pipelines runtimes, offering scalability from laptop to datacenter-scale processing. Developers can contribute new custom modules and leverage the data processing library for building data pipelines. Automation features include workflow automation with Kubeflow Pipelines for transform execution.

This repository contains scripts and tools for evaluating a chat app that uses the RAG architecture. It provides parameters to assess the quality and style of answers generated by the chat app, including system prompt, search parameters, and GPT model parameters. The tools facilitate running evaluations, with examples of evaluations on a sample chat app. The repo also offers guidance on cost estimation, setting up the project, deploying a GPT-4 model, generating ground truth data, running evaluations, and measuring the app's ability to say 'I don't know'. Users can customize evaluations, view results, and compare runs using provided tools.

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.

PIXIU is a project designed to support the development, fine-tuning, and evaluation of Large Language Models (LLMs) in the financial domain. It includes components like FinBen, a Financial Language Understanding and Prediction Evaluation Benchmark, FIT, a Financial Instruction Dataset, and FinMA, a Financial Large Language Model. The project provides open resources, multi-task and multi-modal financial data, and diverse financial tasks for training and evaluation. It aims to encourage open research and transparency in the financial NLP field.

Chinese-Tiny-LLM is a repository containing procedures for cleaning Chinese web corpora and pre-training code. It introduces CT-LLM, a 2B parameter language model focused on the Chinese language. The model primarily uses Chinese data from a 1,200 billion token corpus, showing excellent performance in Chinese language tasks. The repository includes tools for filtering, deduplication, and pre-training, aiming to encourage further research and innovation in language model development.

AutoWebGLM is a project focused on developing a language model-driven automated web navigation agent. It extends the capabilities of the ChatGLM3-6B model to navigate the web more efficiently and address real-world browsing challenges. The project includes features such as an HTML simplification algorithm, hybrid human-AI training, reinforcement learning, rejection sampling, and a bilingual web navigation benchmark for testing AI web navigation agents.

This repository, Awesome-LLM-Survey, serves as a comprehensive collection of surveys related to Large Language Models (LLM). It covers various aspects of LLM, including instruction tuning, human alignment, LLM agents, hallucination, multi-modal capabilities, and more. Researchers are encouraged to contribute by updating information on their papers to benefit the LLM survey community.

VoiceBench is a repository containing code and data for benchmarking LLM-Based Voice Assistants. It includes a leaderboard with rankings of various voice assistant models based on different evaluation metrics. The repository provides setup instructions, datasets, evaluation procedures, and a curated list of awesome voice assistants. Users can submit new voice assistant results through the issue tracker for updates on the ranking list.

VLMEvalKit is an open-source evaluation toolkit of large vision-language models (LVLMs). It enables one-command evaluation of LVLMs on various benchmarks, without the heavy workload of data preparation under multiple repositories. In VLMEvalKit, we adopt generation-based evaluation for all LVLMs, and provide the evaluation results obtained with both exact matching and LLM-based answer extraction.

Awesome-Segment-Anything is a powerful tool for segmenting and extracting information from various types of data. It provides a user-friendly interface to easily define segmentation rules and apply them to text, images, and other data formats. The tool supports both supervised and unsupervised segmentation methods, allowing users to customize the segmentation process based on their specific needs. With its versatile functionality and intuitive design, Awesome-Segment-Anything is ideal for data analysts, researchers, content creators, and anyone looking to efficiently extract valuable insights from complex datasets.

agentUniverse is a framework for developing applications powered by multi-agent based on large language model. It provides essential components for building single agent and multi-agent collaboration mechanism for customizing collaboration patterns. Developers can easily construct multi-agent applications and share pattern practices from different fields. The framework includes pre-installed collaboration patterns like PEER and DOE for complex task breakdown and data-intensive tasks.

OlympicArena is a comprehensive benchmark designed to evaluate advanced AI capabilities across various disciplines. It aims to push AI towards superintelligence by tackling complex challenges in science and beyond. The repository provides detailed data for different disciplines, allows users to run inference and evaluation locally, and offers a submission platform for testing models on the test set. Additionally, it includes an annotation interface and encourages users to cite their paper if they find the code or dataset helpful.

AI Hospital is a research repository focusing on the interactive evaluation and collaboration of Large Language Models (LLMs) as intern doctors for clinical diagnosis. The repository includes a simulation module tailored for various medical roles, introduces the Multi-View Medical Evaluation (MVME) Benchmark, provides dialog history documents of LLMs, replication instructions, performance evaluation, and guidance for creating intern doctor agents. The collaborative diagnosis with LLMs emphasizes dispute resolution. The study was authored by Zhihao Fan, Jialong Tang, Wei Chen, Siyuan Wang, Zhongyu Wei, Jun Xie, Fei Huang, and Jingren Zhou.

MaskLLM is a learnable pruning method that establishes Semi-structured Sparsity in Large Language Models (LLMs) to reduce computational overhead during inference. It is scalable and benefits from larger training datasets. The tool provides examples for running MaskLLM with Megatron-LM, preparing LLaMA checkpoints, pre-tokenizing C4 data for Megatron, generating prior masks, training MaskLLM, and evaluating the model. It also includes instructions for exporting sparse models to Huggingface.

SimAI is the industry's first full-stack, high-precision simulator for AI large-scale training. It provides detailed modeling and simulation of the entire LLM training process, encompassing framework, collective communication, network layers, and more. This comprehensive approach offers end-to-end performance data, enabling researchers to analyze training process details, evaluate time consumption of AI tasks under specific conditions, and assess performance gains from various algorithmic optimizations.

BESSER is a low-modeling low-code open-source platform funded by an FNR Pearl grant. It is built on B-UML, a Python-based interpretation of a 'Universal Modeling Language'. Users can specify their software application using B-UML and generate executable code for various applications like Django models or SQLAlchemy-compatible database structures. BESSER is available on PyPi and can be installed with pip. It supports popular Python IDEs and encourages contributions from the community.

The Bhagavad Gita imparts wisdom on ethical living, duty without attachment, and mindfulness,fostering personal growth, emotional resilience, and inner peace. Its teachings encourage self-awareness, compassion,and spiritual well-being through paths like yoga and meditation, enhancing life's journey

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Encourages an eco-friendly lifestyle with sustainable living tips and green product recommendations.

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JungMind invites us to explore alternative perspectives found in the wisdom of dreams, symbols, stories and spirituality. It encourages embracing mystery as well as logic, and integrating the light and shadow in both ourselves and others.