Best AI tools for< Publicist >

Loti is an online protection tool designed for public figures, including major artists, athletes, executives, and creators. It scans the internet daily to identify instances where the user's face or voice appear, takes down infringing accounts and content, and recaptures revenue. Loti offers features such as protecting against fake accounts and deepfakes, enforcing licensing agreements, and detecting and eliminating fake social media accounts. It is a valuable tool for managing and safeguarding a public figure's online presence and brand image.

Apes and AI is a next-generation AI social app that connects users with stars. With Apes and AI, users can interact with their favorite celebrities, get exclusive content, and even book personalized video calls.

Nepo Baby is a website that allows users to type a celebrity's name and receive information about them. The platform provides details about various celebrities, including their background, career, and personal life. Users can easily access information about their favorite celebrities in one place, making it a convenient tool for staying updated on the latest news and gossip in the entertainment industry.

AI Press Fast is an AI-powered press release distribution service that helps businesses gain exposure and credibility by publishing their stories on top media sites. With a focus on boosting SEO ranking, increasing brand visibility, and attracting potential clients, AI Press Fast offers a cost-effective solution to reach new markets and drive revenue growth. The service leverages advanced AI technology to generate press copies quickly and efficiently, providing clients with measurable results and real inquiries from press releases. Through strategic distribution to a network of over 580 media outlets, including high-authority domains and top-tier news sites, AI Press Fast offers a comprehensive solution for building brand awareness and trust.

THE Journal is an AI-powered educational technology platform that focuses on providing the latest news, insights, and resources related to technology in education. It covers a wide range of topics such as cybersecurity, AI applications in education, STEM education, and emerging trends in educational technology. THE Journal aims to transform education through the integration of technology, offering valuable information to educators, administrators, and policymakers to enhance teaching and learning experiences.

Dimensions AI is an advanced scientific research database that provides a suite of research applications and time-saving solutions for intelligent discovery and faster insight. It hosts the largest collection of interconnected global research data, including publications, clinical trials, patents, policy documents, grants, datasets, and online citations. The platform offers easy-to-understand visualizations, purpose-built applications, and integrated AI technology to speed up research interpretation and analysis. Dimensions is designed to propel research by connecting the dots across the research ecosystem and saving researchers hours of time.

Simpler Media Group creates B2B publications, communities, and events. Their brands include CMSWire, Reworked, and VKTR. CMSWire is the leading community of customer experience and customer service professionals. Reworked is the leading community of employee experience and digital workplace professionals. VKTR is a guide to AI at work. Simpler Media Group also offers research services, including an overview and examples. They also offer a consultation service. Simpler Media Group is committed to providing top-tier knowledge and networking that advances careers. They enrich market intelligence and provide access to pivotal knowledge at steps 2, 3, and 4 of the software purchase process.

The website is a platform managed by Dr. Elie Bursztein, the Google & DeepMind AI Cybersecurity technical and research lead. It features a collection of publications, blog posts, talks, and press releases related to cybersecurity, artificial intelligence, and technology. Dr. Bursztein shares insights and research findings on various topics such as secure AI workflows, language models in cybersecurity, hate and harassment online, and more. Visitors can explore recent content and subscribe to receive cutting-edge research directly in their inbox.

Towards Data Science is a Medium publication dedicated to sharing concepts, ideas, and codes in the field of data science. It provides a platform for data scientists, researchers, and practitioners to connect, learn, and contribute to the advancement of the field.

ReadWrite is an award-winning tech website that provides trusted research and expert knowledge on the latest advancements in technology. Since 2003, ReadWrite has helped millions of people understand and solve tech problems, large and small. The website covers a wide range of tech topics, including AI, AR/VR, cryptocurrency, gaming, smartphones, gambling, wearables, and the web. ReadWrite's team of credentialed experts, trained researchers, and devoted community work together to create reliable, comprehensive, and engaging content that helps readers stay informed about the rapidly evolving tech landscape.

AI Advances is a platform dedicated to democratizing access to artificial intelligence (AI) knowledge and tools. The website aims to empower individuals from all backgrounds to build their own AI systems, address unique challenges, and improve their lives. By bridging the gap and leveling the playing field, AI Advances envisions a future where AI is as ubiquitous and essential as reading and writing once were. The platform provides educational resources, tools, and a supportive community to make democratized AI a reality.

MobiHealthNews is a digital health publication that covers breaking news and trends in healthcare. The website provides insights on AI models in radiology, responsible AI implementation, and digital tools for mental health. It also features news on partnerships in healthcare technology and advancements in AI adoption. MobiHealthNews aims to deliver daily updates on the latest developments in digital health and AI applications.

LaminarFlow is a groundbreaking platform specifically designed to automate content creation and publication processes. Leveraging advanced AI technology, it enables users to effortlessly generate, manage, and publish content, transforming complex tasks into streamlined, automated workflows.

Researcher.Life is a comprehensive research support platform that provides AI-powered tools and expert publication services to empower researchers at every stage of their journey. With a suite of advanced AI tools, including Paperpal, R Discovery, and Mind the Graph, Researcher.Life helps researchers write better, discover relevant literature, create stunning scientific illustrations, and find the right journals for their work. Additionally, Researcher.Life offers expert publication services from Editage, ensuring that manuscripts are polished and ready for publication. By combining AI technology with human expertise, Researcher.Life simplifies complex research tasks, saves time, and accelerates the path to success for researchers worldwide.

Editage is a professional editing, translation, and publication support services company that enables academicians, researchers, scientists, and authors worldwide to publish their work in the best light. Over the past two decades, Editage has helped 500,000+ researchers across 192+ countries to pursue successful publications. The goal is to help researchers improve the quality of their research and increase their chances of publication in international indexed journals.

PubCompare is a powerful AI-powered tool that helps scientists search, compare, and evaluate experimental protocols. With over 40 million protocols in its database, PubCompare is the largest repository of trusted experimental protocols. PubCompare's AI-powered search features allow users to find similar protocols, highlight critical steps, and evaluate the reproducibility of protocols based on in-protocol citations. PubCompare is available from any computer and requires no download.

BookBud.ai is a web-based service that enables self-published authors to create fiction and non-fiction books with the assistance of AI. Authors can publish their books in ebook, print book, and audiobook formats. The platform offers rapid, distribution-ready ebook files, collaboration for AI-augmented audiobooks, and a comprehensive publishing journey from idea to promotion. BookBud.ai aims to make self-publishing profitable and accessible, leveling the playing field for authors in the publishing industry.

MagicPost is an AI-powered LinkedIn post generator that helps you save time and create engaging, high-quality posts. With MagicPost, you can turn URLs into posts, get standout posts with the powers of GPT-4 AI and an advanced algorithm, and go live at any time. MagicPost is the perfect tool for anyone who wants to improve their LinkedIn content strategy.

Why Try AI is a hands-on, no-hype guide to generative AI, providing valuable insights and practical tips for individuals interested in understanding and utilizing AI technologies. With over 6,000 subscribers, the newsletter offers a well-written and hype-free approach to AI, catering to a wide audience of normal folk looking to explore the world of artificial intelligence. The content covers various AI tools, offering readers the opportunity to learn and apply new techniques in their projects and endeavors. By registering on the website, users gain access to a wealth of information and resources related to AI, presented in an engaging and accessible format.

Stories by AI is a website that offers unique tales written, illustrated, and narrated with AI. It has over 5,000 subscribers and provides a platform for users to explore AI-generated content.

AIO-Firebog-Blocklists is a comprehensive tool that combines various sources into a single, cohesive blocklist. It offers customizable options to suit individual preferences and needs, ensuring regular updates to stay up-to-date with the latest threats. The tool focuses on performance optimization to minimize impact while maintaining effective filtering. It is designed to help users with ad blocking, malware protection, tracker prevention, and content filtering.

RAI is a framework designed to bring general multi-agent system capabilities to robots, enhancing human interactivity, flexibility in problem-solving, and out-of-the-box AI features. It supports multi-modalities, incorporates an advanced database for agent memory, provides ROS 2-oriented tooling, and offers a comprehensive task/mission orchestrator. The framework includes features such as voice interaction, customizable robot identity, camera sensor access, reasoning through ROS logs, and integration with LangChain for AI tools. RAI aims to support various AI vendors, improve human-robot interaction, provide an SDK for developers, and offer a user interface for configuration.

Dolma is a dataset and toolkit for curating large datasets for (pre)-training ML models. The dataset consists of 3 trillion tokens from a diverse mix of web content, academic publications, code, books, and encyclopedic materials. The toolkit provides high-performance, portable, and extensible tools for processing, tagging, and deduplicating documents. Key features of the toolkit include built-in taggers, fast deduplication, and cloud support.

STORM is a LLM system that writes Wikipedia-like articles from scratch based on Internet search. While the system cannot produce publication-ready articles that often require a significant number of edits, experienced Wikipedia editors have found it helpful in their pre-writing stage. **Try out our [live research preview](https://storm.genie.stanford.edu/) to see how STORM can help your knowledge exploration journey and please provide feedback to help us improve the system 🙏!**

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.

Only Train Once (OTO) is an automatic, architecture-agnostic DNN training and compression framework that allows users to train a general DNN from scratch or a pretrained checkpoint to achieve high performance and slimmer architecture simultaneously in a one-shot manner without fine-tuning. The framework includes features for automatic structured pruning and erasing operators, as well as hybrid structured sparse optimizers for efficient model compression. OTO provides tools for pruning zero-invariant group partitioning, constructing pruned models, and visualizing pruning and erasing dependency graphs. It supports the HESSO optimizer and offers a sanity check for compliance testing on various DNNs. The repository also includes publications, installation instructions, quick start guides, and a roadmap for future enhancements and collaborations.

seemore is a vision language model developed in Pytorch, implementing components like image encoder, vision-language projector, and decoder language model. The model is built from scratch, including attention mechanisms and patch creation. It is designed for readability and hackability, with the intention to be improved upon. The implementation is based on public publications and borrows attention mechanism from makemore by Andrej Kapathy. The code was developed on Databricks using a single A100 for compute, and MLFlow is used for tracking metrics. The tool aims to provide a simplistic version of vision language models like Grok 1.5/GPT-4 Vision, suitable for experimentation and learning.

The oneAPI-samples repository contains a collection of samples for the Intel oneAPI Toolkits. These samples cover various topics such as AI and analytics, end-to-end workloads, features and functionality, getting started samples, Jupyter notebooks, direct programming, C++, Fortran, libraries, publications, rendering toolkit, and tools. Users can find samples based on expertise, programming language, and target device. The repository structure is organized by high-level categories, and platform validation includes Ubuntu 22.04, Windows 11, and macOS. The repository provides instructions for getting samples, including cloning the repository or downloading specific tagged versions. Users can also use integrated development environments (IDEs) like Visual Studio Code. The code samples are licensed under the MIT license.

This repository hosts the Machine Learning for Games Course, providing mdx files and notebooks for learning. The course covers various topics related to applying machine learning techniques in game development. It offers a syllabus and resources for users to sign up and access the content for free. The project is maintained by Thomas Simonini and is available on GitHub for citation in publications.

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.

The Cradle project is a framework designed for General Computer Control (GCC), empowering foundation agents to excel in various computer tasks through strong reasoning abilities, self-improvement, and skill curation. It provides a standardized environment with minimal requirements, constantly evolving to support more games and software. The repository includes released versions, publications, and relevant assets.

Adobe Illustrator And Generative AI 2024 is a repository offering Adobe Illustrator CC for free as part of a creative toolkit. It provides legal and free access to the 2024 edition of Adobe Illustrator, a standard tool for designing vector graphics and digital illustrations. The repository includes information on installation, setup, and the main functions of Adobe Illustrator, such as creating digital illustrations, logo design, infographics, print design, publication design, web element design, and user interface design. It also lists the technical requirements, language options, license details, and the latest update date.

The Intel® AI Reference Models repository contains links to pre-trained models, sample scripts, best practices, and tutorials for popular open-source machine learning models optimized by Intel to run on Intel® Xeon® Scalable processors and Intel® Data Center GPUs. It aims to replicate the best-known performance of target model/dataset combinations in optimally-configured hardware environments. The repository will be deprecated upon the publication of v3.2.0 and will no longer be maintained or published.

This repository contains frontier research on explainable AI (XAI), a hot topic in the field of artificial intelligence. It includes trends, use cases, survey papers, books, open courses, papers, and Python libraries related to XAI. The repository aims to organize and categorize publications on XAI, provide evaluation methods, and list various Python libraries for explainable AI.

ReproModel is an open-source toolbox designed to boost AI research efficiency by enabling researchers to reproduce, compare, train, and test AI models faster. It provides standardized models, dataloaders, and processing procedures, allowing researchers to focus on new datasets and model development. With a no-code solution, users can access benchmark and SOTA models and datasets, utilize training visualizations, extract code for publication, and leverage an LLM-powered automated methodology description writer. The toolbox helps researchers modularize development, compare pipeline performance reproducibly, and reduce time for model development, computation, and writing. Future versions aim to facilitate building upon state-of-the-art research by loading previously published study IDs with verified code, experiments, and results stored in the system.

This repository presents a (semi-)automatic pipeline for Ontology and Knowledge Graph Construction using Large Language Models (LLMs) such as Mixtral 8x22B Instruct v0.1, GPT-4o, GPT-3.5, and Gemini. It explores the generation of Knowledge Graphs by formulating competency questions, developing ontologies, constructing KGs, and evaluating the results with minimal human involvement. The project showcases the creation of a KG on deep learning methodologies from scholarly publications. It includes components for data preprocessing, prompts for LLMs, datasets, and results from the selected LLMs.

AI-Powered Search provides code examples for the book 'AI-Powered Search' by Trey Grainger, Doug Turnbull, and Max Irwin. The book teaches modern machine learning techniques for building search engines that continuously learn from users and content to deliver more intelligent and domain-aware search experiences. It covers semantic search, retrieval augmented generation, question answering, summarization, fine-tuning transformer-based models, personalized search, machine-learned ranking, click models, and more. The code examples are in Python, leveraging PySpark for data processing and Apache Solr as the default search engine. The repository is open source under the Apache License, Version 2.0.

Since the emergence of chatGPT in 2022, the acceleration of Large Language Model has become increasingly important. Here is a list of papers on LLMs inference and serving.

Awesome Mobile LLMs is a curated list of Large Language Models (LLMs) and related studies focused on mobile and embedded hardware. The repository includes information on various LLM models, deployment frameworks, benchmarking efforts, applications, multimodal LLMs, surveys on efficient LLMs, training LLMs on device, mobile-related use-cases, industry announcements, and related repositories. It aims to be a valuable resource for researchers, engineers, and practitioners interested in mobile LLMs.

Your go-to AI for fun and insightful celebrity matchmaking comparisons.

Advisor for small bookstore businesses.

Your music marketing mentor

I provide detailed info on celebrities, singers, actors, presidents and other public figures.

Dive into the Glittering World of Hollywood! Your ultimate companion for the latest scoop, timeless tales, and star-studded stories. Lights, camera, interaction - let's talk Hollywood!

Directs successful publicity campaigns advancing organizational reputation.

Expertise en stratégies de marketing digital, SEO, SEM, médias sociaux, analyse de données marketing, créativité en campagnes publicitaires.

PR campaign plan builder

Active PR researcher for podcast booking.

A chatbot designed to answer questions related to ADP 6-22, Army Leadership and the Profession

Tutor de RP adaptable, con enfoque personalizado.

Your author's publication aide.

Advanced assistant for data publication and subscription guidance, with enhanced contextual understanding and technical integration.

Translation of scientific publications in several languages in the field of generative AI, Machine Learning, and Deep Learning.

Consultor jurídico em licitações públicas, especializado em legislação e procedimentos licitatórios no Brasil.

Considerado un revolucionario de la publicidad y responsable del marketing digital tal y como se concibe hoy en día.

Es un modelo IA especializado en compras públicas, ofreciendo interpretaciones legales y asesoramiento en licitaciones. Actualizado y preciso, es ideal para funcionarios y empresas.

Asistente amable y motivador en análisis de datos públicos en compra pública

Eu faço resumos de pedidos de informação e recursos a órgãos públicos brasileiros. For English, please ask “summarise it in English please”.

Soy tu ayudante para organizar y desarrollar las elecciones a los Consejos Escolares 2023 de los centros docentes no universitarios sostenidos con fondos públicos de la Comunidad Valenciana. Ojo, lo que no sé me lo invento.