Best AI tools for< Encourage Imagination >

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.

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.

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.

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.

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.

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.

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.

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.

Whimsy is an AI-powered story app designed for kids to ignite a love for reading by creating personalized digital storybooks. Children can describe their dream tale or upload drawings, and the platform transforms them into engaging narratives. Whimsy offers creativity, literacy, and fun all in one place, providing a new realm of storytelling for young readers.

Airaso is a website that explores the power of words in shaping perceptions, changing moods, and transforming realities. It delves into how conscious language use can influence our environment, enhance relationships, and foster positive change. The platform emphasizes the significance of intention behind words, effective communication in delicate contexts, and the role of language in building and maintaining relationships. Through articles and reflections, Airaso aims to inspire individuals to harness the power of words for personal growth and societal impact.

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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.

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.

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.

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.

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.

FlirtAI is an AI-powered app designed to enhance online dating communication. It provides personalized suggestions and context-aware analysis to help users craft engaging and meaningful responses. FlirtAI prioritizes privacy and encourages responsible use to foster genuine connections.

Youtube Chatpers is an AI-powered tool that provides summaries of YouTube videos through ChatGPT. It allows users to navigate to specific video segments effortlessly, saving time and offering a streamlined content overview. The tool offers a Chrome Extension for more features and encourages support to keep the service free. Users can also provide feedback or report issues directly to the team.

Awesome GPT Prompt Engineering is a curated list of resources, tools, and shiny things for GPT prompt engineering. It includes roadmaps, guides, techniques, prompt collections, papers, books, communities, prompt generators, Auto-GPT related tools, prompt injection information, ChatGPT plug-ins, prompt engineering job offers, and AI links directories. The repository aims to provide a comprehensive guide for prompt engineering enthusiasts, covering various aspects of working with GPT models and improving communication with AI tools.

gollm is a Go package designed to simplify interactions with Large Language Models (LLMs) for AI engineers and developers. It offers a unified API for multiple LLM providers, easy provider and model switching, flexible configuration options, advanced prompt engineering, prompt optimization, memory retention, structured output and validation, provider comparison tools, high-level AI functions, robust error handling and retries, and extensible architecture. The package enables users to create AI-powered golems for tasks like content creation workflows, complex reasoning tasks, structured data generation, model performance analysis, prompt optimization, and creating a mixture of agents.

This repository contains the reinforcement learning training code for Trackmania AI with Reinforcement Learning. It is a research work-in-progress project that aims to apply reinforcement learning principles to play Trackmania. The code is constantly evolving and may not be clean or easily usable. The training hyperparameters are intentionally changed in the public repository to encourage understanding of reinforcement learning principles. The project may not receive active support for setup or usage at the moment.

MaxText is a high-performance, highly scalable, open-source LLM written in pure Python/Jax and targeting Google Cloud TPUs and GPUs for training and inference. MaxText achieves high MFUs and scales from single host to very large clusters while staying simple and "optimization-free" thanks to the power of Jax and the XLA compiler. MaxText aims to be a launching off point for ambitious LLM projects both in research and production. We encourage users to start by experimenting with MaxText out of the box and then fork and modify MaxText to meet their needs.

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.

ReVA (Reverse Engineering Assistant) is a project aimed at building a disassembler agnostic AI assistant for reverse engineering tasks. It utilizes a tool-driven approach, providing small tools to the user to empower them in completing complex tasks. The assistant is designed to accept various inputs, guide the user in correcting mistakes, and provide additional context to encourage exploration. Users can ask questions, perform tasks like decompilation, class diagram generation, variable renaming, and more. ReVA supports different language models for online and local inference, with easy configuration options. The workflow involves opening the RE tool and program, then starting a chat session to interact with the assistant. Installation includes setting up the Python component, running the chat tool, and configuring the Ghidra extension for seamless integration. ReVA aims to enhance the reverse engineering process by breaking down actions into small parts, including the user's thoughts in the output, and providing support for monitoring and adjusting prompts.

ai.robots.txt is an open list of web crawlers associated with AI companies and the training of LLMs to block. Users are encouraged to contribute to and implement this list on their own site. The list includes crawlers sourced from Dark Visitors, and contributors can add information about a crawler by making a pull request with the bot name added to `robots.txt`, `ai.txt`, and any relevant details in `table-of-bot-metrics.md`.

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.

Chatbot UI is an open-source AI chat app that allows users to create and deploy their own AI chatbots. It is easy to use and can be customized to fit any need. Chatbot UI is perfect for businesses, developers, and anyone who wants to create a chatbot.

Large Language Models (LLM) are used to browse the Wolfram directory and associated URLs to create the category structure and good word embeddings. The goal is to generate enriched prompts for GPT, Wikipedia, Arxiv, Google Scholar, Stack Exchange, or Google search. The focus is on one subdirectory: Probability & Statistics. Documentation is in the project textbook `Projects4.pdf`, which is available in the folder. It is recommended to download the document and browse your local copy with Chrome, Edge, or other viewers. Unlike on GitHub, you will be able to click on all the links and follow the internal navigation features. Look for projects related to NLP and LLM / xLLM. The best starting point is project 7.2.2, which is the core project on this topic, with references to all satellite projects. The project textbook (with solutions to all projects) is the core document needed to participate in the free course (deep tech dive) called **GenAI Fellowship**. For details about the fellowship, follow the link provided. An uncompressed version of `crawl_final_stats.txt.gz` is available on Google drive, which contains all the crawled data needed as input to the Python scripts in the XLLM5 and XLLM6 folders.

This competition is organized by Javier Rando and Florian Tramèr from the ETH AI Center and SPY Lab at ETH Zurich. The goal of the competition is to create a method that can detect universal backdoors in aligned language models. A universal backdoor is a secret suffix that, when appended to any prompt, enables the model to answer harmful instructions. The competition provides a set of poisoned generation models, a reward model that measures how safe a completion is, and a dataset with prompts to run experiments. Participants are encouraged to use novel methods for red-teaming, automated approaches with low human oversight, and interpretability tools to find the trojans. The best submissions will be offered the chance to present their work at an event during the SaTML 2024 conference and may be invited to co-author a publication summarizing the competition results.

Greenplum Database (GPDB) is an advanced, fully featured, open source data warehouse, based on PostgreSQL. It provides powerful and rapid analytics on petabyte scale data volumes. Uniquely geared toward big data analytics, Greenplum Database is powered by the world’s most advanced cost-based query optimizer delivering high analytical query performance on large data volumes.

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.

LLM Zoomcamp is a free online course focusing on real-life applications of Large Language Models (LLMs). Over 10 weeks, participants will learn to build an AI bot capable of answering questions based on a knowledge base. The course covers topics such as LLMs, RAG, open-source LLMs, vector databases, orchestration, monitoring, and advanced RAG systems. Pre-requisites include comfort with programming, Python, and the command line, with no prior exposure to AI or ML required. The course features a pre-course workshop and is led by instructors Alexey Grigorev and Magdalena Kuhn, with support from sponsors and partners.

Open AI is a powerful tool for artificial intelligence research and development. It provides a wide range of machine learning models and algorithms, making it easier for developers to create innovative AI applications. With Open AI, users can explore cutting-edge technologies such as natural language processing, computer vision, and reinforcement learning. The platform offers a user-friendly interface and comprehensive documentation to support users in building and deploying AI solutions. Whether you are a beginner or an experienced AI practitioner, Open AI offers the tools and resources you need to accelerate your AI projects and stay ahead in the rapidly evolving field of artificial intelligence.

This repository, Awesome-LLM-RAG, aims to record advanced papers on Retrieval Augmented Generation (RAG) in Large Language Models (LLMs). It serves as a resource hub for researchers interested in promoting their work related to LLM RAG by updating paper information through pull requests. The repository covers various topics such as workshops, tutorials, papers, surveys, benchmarks, retrieval-enhanced LLMs, RAG instruction tuning, RAG in-context learning, RAG embeddings, RAG simulators, RAG search, RAG long-text and memory, RAG evaluation, RAG optimization, and RAG applications.

This repository is dedicated to the pruning of large language models (LLMs). It aims to serve as a comprehensive resource for researchers and practitioners interested in the efficient reduction of model size while maintaining or enhancing performance. The repository contains various papers, summaries, and links related to different pruning approaches for LLMs, along with author information and publication details. It covers a wide range of topics such as structured pruning, unstructured pruning, semi-structured pruning, and benchmarking methods. Researchers and practitioners can explore different pruning techniques, understand their implications, and access relevant resources for further study and implementation.

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