Best AI tools for< Self-published Author >

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.

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 and affordable book creation, distribution-ready ebook files, global platform presence, hassle-free distribution, and high-quality print book formatting. BookBud.ai aims to make self-publishing profitable and accessible to aspiring and established writers.

Publishing.ai is an AI-powered platform designed to assist authors in researching and writing full-length books efficiently. It offers a range of features such as generating book outlines, creating full manuscripts, and crafting book descriptions to increase sales. The tool aims to save time and money for authors by leveraging proprietary AI technology to produce high-quality content quickly. Publishing.ai empowers authors by augmenting human creativity and respecting intellectual property rights, ensuring that all generated content is unique and owned by the users.

CoverDesignAI is an AI-powered tool that provides authors and publishers with quick and easy design solutions for their book covers. It offers design inspiration tailored to specific book information, as well as Midjourney Prompts for creative exploration. The tool generates classic and elite designs that blend artistic creativity with adherence to authors' requests, ensuring a high-quality finish. CoverDesignAI simplifies AI operations, making professional-grade design accessible to users of all levels. The tool's turnaround time for projects is typically within 24 hours, and users can use the generated images for commercial purposes.

Book Witch is an AI tool designed to generate complete ebooks with just one click, eliminating the hassle of manual writing and editing. The tool leverages advanced AI models to create long-form content swiftly, tailored to the user's vision. It aims to help users unlock their ebook empire by providing effortless creation, financial freedom, and the ability to boost their brand through consistent, quality content. Book Witch caters to authors looking to tap into the potential of the ebook business without the traditional struggles of time drain, writing woes, costly outsourcing, originality fears, and burnout.

Publishing.com is an education-centric company offering online courses, coaching, and AI-powered software to streamline the publishing process. Their breakthrough AI publishing software automates business processes, from topic generation to outlines and manuscripts, making self-publishing accessible to almost anyone, even non-authors. With a focus on helping individuals create and publish books that sell, Publishing.com provides a supportive community, resources, and step-by-step guidance for students to achieve financial freedom through self-publishing.

BookAIWriter.com is an AI-powered writing assistant that helps you write books and stunning covers effortlessly. With BookAIWriter, you can craft your story's blueprint, have the AI craft your narrative, and bring your book to life with captivating narrative and stunning cover art. BookAIWriter is trusted by professionals worldwide and is quick and efficient to use.

Inkrify is an AI-powered book writing platform that leverages artificial intelligence to assist writers in creating engaging and high-quality content. The platform offers advanced writing tools and features to streamline the writing process, from generating ideas to editing drafts. With Inkrify, writers can access a range of AI-driven functionalities, such as content suggestions, grammar checking, and style recommendations, to enhance their writing efficiency and creativity. Whether you're a seasoned author or a novice writer, Inkrify provides a user-friendly interface and intuitive tools to help you bring your ideas to life and craft compelling stories.

Book Title Generator is an AI-powered tool designed to assist users in generating the perfect title for their next book. Users can input their preferences and let the generator come up with creative and suitable titles. The tool aims to simplify the process of brainstorming and selecting a captivating title for any genre of book.

ProWritingAid is an AI-powered writing assistant that helps writers improve their writing. It offers a range of features, including a grammar checker, plagiarism checker, and story critique tool. ProWritingAid is used by writers of all levels, from beginners to bestselling authors. It is available as a web app, desktop app, and browser extension.

Bibit AI is a real estate marketing AI designed to enhance the efficiency and effectiveness of real estate marketing and sales. It can help create listings, descriptions, and property content, and offers a host of other features. Bibit AI is the world's first AI for Real Estate. We are transforming the real estate industry by boosting efficiency and simplifying tasks like listing creation and content generation.

Gamelight is a revolutionary AI platform for mobile games marketing. It utilizes advanced algorithms to analyze app usage data and users' behavior, creating detailed user profiles and delivering personalized game recommendations. The platform also features a loyalty program that rewards users with points for gameplay duration, fostering engagement and retention. Gamelight's ROAS Algorithm identifies users with the highest likelihood of making a purchase on your game, providing exclusive access to valuable data points for effective user acquisition.

Idea Hunt is an AI tool designed to help users uncover sales leads on Reddit by finding potential customers who are interested in reacting to ideas, solutions, and products. It utilizes advanced AI technologies, including GPT-4, to provide users with a platform to discover trends, find customers, and receive feedback. Idea Hunt offers features such as discovering potential customer leads, customized matching prompts, self-service matching rule optimization, comment assistance, and generating new revenue. The platform assists users in engaging with Reddit users effectively and converting them into paying customers, making it a valuable marketing tool for startups and large companies alike.

How to Leverage AI is a platform dedicated to helping individuals and businesses harness the power of artificial intelligence to make money online. The website provides valuable insights, guides, and resources on leveraging AI for various purposes such as self-publishing, creating children's books, making YouTube shorts, writing text, and more. With a focus on practical applications and proven methods, How to Leverage AI aims to empower users to unlock the infinite potential of AI in their endeavors.

Dappier is a platform that enables publishers and AI developers to monetize their content by creating branded AI agents and syndicating trusted, rights-cleared data. Users can easily connect their data sources, transform content for AI interaction, and launch custom AI agents for natural search and content recommendations. The platform offers a self-serve fine-tuning platform and a marketplace for syndicating content to AI developers, enabling users to generate new revenue streams. Dappier prioritizes data security and privacy, ensuring that training data is never shared with external parties.

Self-Introduction Generate AI is an innovative platform designed to assist individuals and businesses in crafting compelling and effective self-introductions. It leverages advanced AI technology to understand context and generate personalized content. The platform can analyze and understand various types of input, including text and context, to generate tailored self-introductions that are engaging and informative, enhancing personal and professional branding. With features like quick response times, quality assurance, and specialized service for self-introductions, it is an ideal tool for job applications, networking events, and personal branding initiatives.

Better Self AI is an innovative AI tool designed to help individuals improve their personal development and well-being. The platform utilizes advanced algorithms to provide personalized recommendations and insights based on user input and behavior. Users can track their progress, set goals, and receive actionable advice to enhance various aspects of their lives, such as productivity, mental health, and relationships. With a user-friendly interface and intuitive features, Better Self AI aims to empower users to make positive changes and lead a more fulfilling life.

Deepwander is an interactive self-exploration tool that helps you discover your strengths, weaknesses, and values. It uses a variety of AI-powered assessments to provide you with personalized insights and recommendations. With Deepwander, you can learn more about yourself and make better decisions about your career, relationships, and life.

Veezoo is a self-service analytics platform that uses AI and a semantic layer to make data accessible and understandable to everyone in an organization. It allows users to ask questions about their data in plain English and get instant insights. Veezoo also provides features such as dashboards, collaboration tools, and data governance to help businesses make better use of their data.

Neomind is a self-hypnosis application designed to unlock success, health, and happiness by transforming limiting beliefs. It offers tailored self-hypnosis sessions that speak directly to the subconscious, helping users achieve personal goals and overcome obstacles in various areas of life. The application provides expertly crafted audio experiences, including deep relaxation induction, breathing exercises, and progressive muscle relaxation, along with unique affirmations and suggestions focused on building confidence, achieving goals, and visualizing a successful future. Users can also access bonus sessions for comprehensive personal growth in finances, health, and relationships.

PyLLMCore is a light-weighted interface with Large Language Models with native support for llama.cpp, OpenAI API, and Azure deployments. It offers a Pythonic API that is simple to use, with structures provided by the standard library dataclasses module. The high-level API includes the assistants module for easy swapping between models. PyLLMCore supports various models including those compatible with llama.cpp, OpenAI, and Azure APIs. It covers use cases such as parsing, summarizing, question answering, hallucinations reduction, context size management, and tokenizing. The tool allows users to interact with language models for tasks like parsing text, summarizing content, answering questions, reducing hallucinations, managing context size, and tokenizing text.

HASH is a self-building, open-source database which grows, structures and checks itself. With it, we're creating a platform for decision-making, which helps you integrate, understand and use data in a variety of different ways.

Autonomous agents are designed to achieve specific objectives through self-guided instructions. With the emergence and growth of large language models (LLMs), there is a growing trend in utilizing LLMs as fundamental controllers for these autonomous agents. This repository conducts a comprehensive survey study on the construction, application, and evaluation of LLM-based autonomous agents. It explores essential components of AI agents, application domains in natural sciences, social sciences, and engineering, and evaluation strategies. The survey aims to be a resource for researchers and practitioners in this rapidly evolving field.

mlcourse.ai is an open Machine Learning course by OpenDataScience (ods.ai), led by Yury Kashnitsky (yorko). The course offers a perfect balance between theory and practice, with math formulae in lectures and practical assignments including Kaggle Inclass competitions. It is currently in a self-paced mode, guiding users through 10 weeks of content covering topics from Pandas to Gradient Boosting. The course provides articles, lectures, and assignments to enhance understanding and application of machine learning concepts.

Activepieces is an open source replacement for Zapier, designed to be extensible through a type-safe pieces framework written in Typescript. It features a user-friendly Workflow Builder with support for Branches, Loops, and Drag and Drop. Activepieces integrates with Google Sheets, OpenAI, Discord, and RSS, along with 80+ other integrations. The list of supported integrations continues to grow rapidly, thanks to valuable contributions from the community. Activepieces is an open ecosystem; all piece source code is available in the repository, and they are versioned and published directly to npmjs.com upon contributions. If you cannot find a specific piece on the pieces roadmap, please submit a request by visiting the following link: Request Piece Alternatively, if you are a developer, you can quickly build your own piece using our TypeScript framework. For guidance, please refer to the following guide: Contributor's Guide

TableLLM is a large language model designed for efficient tabular data manipulation tasks in real office scenarios. It can generate code solutions or direct text answers for tasks like insert, delete, update, query, merge, and chart operations on tables embedded in spreadsheets or documents. The model has been fine-tuned based on CodeLlama-7B and 13B, offering two scales: TableLLM-7B and TableLLM-13B. Evaluation results show its performance on benchmarks like WikiSQL, Spider, and self-created table operation benchmark. Users can use TableLLM for code and text generation tasks on tabular data.

This is a no-nonsense async Scala client for OpenAI API supporting all the available endpoints and params including streaming, chat completion, vision, and voice routines. It provides a single service called OpenAIService that supports various calls such as Models, Completions, Chat Completions, Edits, Images, Embeddings, Batches, Audio, Files, Fine-tunes, Moderations, Assistants, Threads, Thread Messages, Runs, Run Steps, Vector Stores, Vector Store Files, and Vector Store File Batches. The library aims to be self-contained with minimal dependencies and supports API-compatible providers like Azure OpenAI, Azure AI, Anthropic, Google Vertex AI, Groq, Grok, Fireworks AI, OctoAI, TogetherAI, Cerebras, Mistral, Deepseek, Ollama, FastChat, and more.

The W3C Cognitive AI Community Group focuses on advancing Cognitive AI through collaboration on defining use cases, open source implementations, and application areas. The group aims to demonstrate the potential of Cognitive AI in various domains such as customer services, healthcare, cybersecurity, online learning, autonomous vehicles, manufacturing, and web search. They work on formal specifications for chunk data and rules, plausible knowledge notation, and neural networks for human-like AI. The group positions Cognitive AI as a combination of symbolic and statistical approaches inspired by human thought processes. They address research challenges including mimicry, emotional intelligence, natural language processing, and common sense reasoning. The long-term goal is to develop cognitive agents that are knowledgeable, creative, collaborative, empathic, and multilingual, capable of continual learning and self-awareness.

WritingAIPaper is a comprehensive guide for beginners on crafting AI conference papers. It covers topics like paper structure, core ideas, framework construction, result analysis, and introduction writing. The guide aims to help novices navigate the complexities of academic writing and contribute to the field with clarity and confidence. It also provides tips on readability improvement, logical strength, defensibility, confusion time reduction, and information density increase. The appendix includes sections on AI paper production, a checklist for final hours, common negative review comments, and advice on dealing with paper rejection.

Nmed2024 is a GitHub repository that contains code for a neural network model designed for medical image analysis. The repository includes scripts for training the model, as well as pre-trained weights for quick deployment. The model is specifically tailored for detecting abnormalities in medical images, such as tumors or fractures. It utilizes deep learning techniques to achieve high accuracy and can be easily integrated into existing medical imaging systems. Researchers and developers in the healthcare industry can leverage this tool to enhance the efficiency and accuracy of medical image analysis tasks.

LLM4EC is an interdisciplinary research repository focusing on the intersection of Large Language Models (LLM) and Evolutionary Computation (EC). It provides a comprehensive collection of papers and resources exploring various applications, enhancements, and synergies between LLM and EC. The repository covers topics such as LLM-assisted optimization, EA-based LLM architecture search, and applications in code generation, software engineering, neural architecture search, and other generative tasks. The goal is to facilitate research and development in leveraging LLM and EC for innovative solutions in diverse domains.

LLM-Agent-Survey is a comprehensive repository that provides a curated list of papers related to Large Language Model (LLM) agents. The repository categorizes papers based on LLM-Profiled Roles and includes high-quality publications from prestigious conferences and journals. It aims to offer a systematic understanding of LLM-based agents, covering topics such as tool use, planning, and feedback learning. The repository also includes unpublished papers with insightful analysis and novelty, marked for future updates. Users can explore a wide range of surveys, tool use cases, planning workflows, and benchmarks related to LLM agents.

Arno's Iptables Firewall (AIF) is a single- & multi-homed firewall script with DSL/ADSL support. It is a free software distributed under the GNU GPL License. The script provides a comprehensive set of configuration files and plugins for setting up and managing firewall rules, including support for NAT, load balancing, and multirouting. It offers detailed instructions for installation and configuration, emphasizing security best practices and caution when modifying settings. The script is designed to protect against hostile attacks by blocking all incoming traffic by default and allowing users to configure specific rules for open ports and network interfaces.

PhoGPT is an open-source 4B-parameter generative model series for Vietnamese, including the base pre-trained monolingual model PhoGPT-4B and its chat variant, PhoGPT-4B-Chat. PhoGPT-4B is pre-trained from scratch on a Vietnamese corpus of 102B tokens, with an 8192 context length and a vocabulary of 20K token types. PhoGPT-4B-Chat is fine-tuned on instructional prompts and conversations, demonstrating superior performance. Users can run the model with inference engines like vLLM and Text Generation Inference, and fine-tune it using llm-foundry. However, PhoGPT has limitations in reasoning, coding, and mathematics tasks, and may generate harmful or biased responses.

llamafile is a tool that enables users to distribute and run Large Language Models (LLMs) with a single file. It combines llama.cpp with Cosmopolitan Libc to create a framework that simplifies the complexity of LLMs into a single-file executable called a 'llamafile'. Users can run these executable files locally on most computers without the need for installation, making open LLMs more accessible to developers and end users. llamafile also provides example llamafiles for various LLM models, allowing users to try out different LLMs locally. The tool supports multiple CPU microarchitectures, CPU architectures, and operating systems, making it versatile and easy to use.

Efficient Foundation Model Survey is a comprehensive analysis of resource-efficient large language models (LLMs) and multimodal foundation models. The survey covers algorithmic and systemic innovations to support the growth of large models in a scalable and environmentally sustainable way. It explores cutting-edge model architectures, training/serving algorithms, and practical system designs. The goal is to provide insights on tackling resource challenges posed by large foundation models and inspire future breakthroughs in the field.

Career, self-publishing and marketing guide for authors and writers. Use the Message box at the bottom for your own questions.

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