Best AI tools for< Build Passive Income Businesses >

Streetbeat is an innovative investment platform that simplifies and automates investing activities. It serves as a solution for navigating the complexity of financial markets and deriving actionable insights. Streetbeat offers AI Agents for businesses to automate tasks and enhance client services, while individuals can access an AI-powered financial advisor to manage investments. The platform aims to make investing more accessible and efficient for users.

StackBuddy is an AI-powered blogging, SEO, and affiliate marketing platform that offers comprehensive tools and resources for individuals looking to build and grow their online presence. The platform covers a wide range of topics including blogging, SEO, social media marketing, web hosting, entrepreneurship, and technology. Users can access guides, reviews, deals, and learn how to make passive income online. StackBuddy is designed to help users optimize their online strategies and stay updated with the latest trends in the digital space.

The website is a platform offering Crypto Trading Bots for spot and futures exchanges, along with features like automated trading, copy trading, signal trading, and portfolio management. Users can access expert trading strategies, demo trading, and pay only for profitable trades. The platform provides a user-friendly experience for both beginners and pro traders, with built-in risk management and customizable settings. It also offers a mobile app for managing bots on the go.

Fetcher is an AI candidate sourcing tool designed for recruiters to streamline the talent acquisition process. It leverages advanced AI technology and expert teams to efficiently source high-quality candidate profiles that match specific hiring requirements. The tool also provides smart recruitment analytics, personalized diversity search criteria, and verified contact information to enhance candidate engagement and streamline the recruitment process. With robust technology integrations and a focus on automating processes, Fetcher aims to help companies of all sizes attract top talent and optimize their recruitment strategies.

Oxygen Digital Recruitment is a specialized AI and Data Science recruitment platform that focuses on providing talent solutions for cutting-edge markets, including Geospatial & ESG, Energy Trading, Renewable Energy, Artificial Intelligence, and Data Science. The platform offers various services such as Permanent Search, Embedded Specialist Talent, Short-term Staffing, Retained Search, and Fractional Advisory. Oxygen Digital aims to accelerate decarbonization by delivering top talent to drive change in the industry. The platform collaborates with start-ups, scale-ups, and global enterprises to build domain-specific innovation teams, providing access to deep passive networks and the ability to hire blended workforces.

Build Club is a leading training campus for AI learners, experts, and builders. It offers a platform where individuals can upskill into AI careers, get certified by top AI companies, learn the latest AI tools, and earn money by solving real problems. The community at Build Club consists of AI learners, engineers, consultants, and founders who collaborate on cutting-edge AI projects. The platform provides challenges, support, and resources to help individuals build AI projects and advance their skills in the field.

This is a unified DevOps platform to build AI applications. It provides a comprehensive set of tools and services to help developers build, deploy, and manage AI applications. The platform includes a variety of features such as a code editor, a debugger, a profiler, and a deployment manager. It also provides access to a variety of AI services, such as natural language processing, machine learning, and computer vision.

Build Chatbot is a no-code chatbot builder designed to simplify the process of creating chatbots. It enables users to build their chatbot without any coding knowledge, auto-train it with personalized content, and get the chatbot ready with an engaging UI. The platform offers various features to enhance user engagement, provide personalized responses, and streamline communication with website visitors. Build Chatbot aims to save time for both businesses and customers by making information easily accessible and transforming visitors into satisfied customers.

Build Club is an AI tool designed to help individuals learn and explore various aspects of artificial intelligence. The platform offers a wide range of courses, challenges, hackathons, and community projects to enhance users' AI skills. Users can build AI models for tasks like image and video generation, AI marketing, and creating AI agents. Build Club aims to create a collaborative learning environment for AI enthusiasts to grow their knowledge and skills in the field of artificial intelligence.

The website 'What should I build next?' is a platform designed to help developers generate random development project ideas. It serves as the ultimate resource for developers seeking inspiration for their next project. Users can pick components or randomize to generate unique project ideas. The platform also offers a Challenge Mode for added excitement. Additionally, free credits are rewarded to active users daily, ensuring a continuous flow of ideas. The website aims to support developers in overcoming creative blocks and sparking innovation.

GitHub is a collaborative platform that allows users to build and ship software efficiently. GitHub Copilot, an AI-powered tool, helps developers write better code by providing coding assistance, automating workflows, and enhancing security. The platform offers features such as instant dev environments, code review, code search, and collaboration tools. GitHub is widely used by enterprises, small and medium teams, startups, and nonprofits across various industries. It aims to simplify the development process, increase productivity, and improve the overall developer experience.

Google Cloud is a suite of cloud computing services that runs on the same infrastructure as Google. Its services include computing, storage, networking, databases, machine learning, and more. Google Cloud is designed to make it easy for businesses to develop and deploy applications in the cloud. It offers a variety of tools and services to help businesses with everything from building and deploying applications to managing their infrastructure. Google Cloud is also committed to sustainability, and it has a number of programs in place to reduce its environmental impact.

Airtable is a next-gen app-building platform that enables teams to create custom business apps without the need for coding. It offers features like AI integration, connected data, automations, interface design, and data visualization. Airtable allows users to manage security, permissions, and data protection at scale. The platform also provides integrations with popular tools like Slack, Google Drive, and Salesforce, along with an extension marketplace for additional templates and apps. Users can streamline workflows, automate processes, and gain insights through reporting and analytics.

Cloudflare is a platform that offers a range of products and services to help users build, secure, and optimize their websites and applications. It provides solutions for web analytics, troubleshooting errors, domain registration, content delivery, and more. Cloudflare also offers developer products like Workers and AI products like AI Vectorize and AI Gateway. Additionally, Cloudflare provides Zero Trust Access, Tunnel Gateway, and Browser Isolation services to enhance security and performance. The platform aims to simplify the process of managing online assets and improving user experience.

Gemini is a large and powerful AI model developed by Google. It is designed to handle a wide variety of text and image reasoning tasks, and it can be used to build a variety of AI-powered applications. Gemini is available in three sizes: Ultra, Pro, and Nano. Ultra is the most capable model, but it is also the most expensive. Pro is the best performing model for a wide variety of tasks, and it is a good value for the price. Nano is the most efficient model, and it is designed for on-device use cases.

Notion is an AI-integrated workspace platform that combines wiki, docs, and project management functionalities in one tool. It offers a centralized hub for teams to collaborate, share knowledge, manage projects, and streamline workflows. With AI assistance, users can enhance their productivity by automating tasks, generating content, and finding information quickly. Notion aims to simplify work processes and empower teams to work more efficiently and creatively.

FlutterFlow is a low-code development platform that enables users to build cross-platform mobile and web applications without writing code. It provides a visual interface for designing user interfaces, connecting data, and implementing complex logic. FlutterFlow is trusted by users at leading companies around the world and has been used to build a wide range of applications, from simple prototypes to complex enterprise solutions.

Enhancv is an AI-powered online resume builder that helps users create professional resumes and cover letters tailored to their job applications. The tool offers a drag-and-drop resume builder with a variety of modern templates, a resume checker that evaluates resumes for ATS-friendliness, and provides actionable suggestions. Enhancv also provides resume and CV examples written by experienced professionals, a resume tailoring feature, and a free resume checker. Users can download their resumes in PDF or TXT formats and store up to 30 documents in cloud storage.

Abacus.AI is the world's first AI platform where AI, not humans, build Applied AI agents and systems at scale. Using generative AI and other novel neural net techniques, AI can build LLM apps, gen AI agents, and predictive applied AI systems at scale.

Bubble is a no-code application development platform that allows users to build and deploy web and mobile applications without writing any code. It provides a visual interface for designing and developing applications, and it includes a library of pre-built components and templates that can be used to accelerate development. Bubble is suitable for a wide range of users, from beginners with no coding experience to experienced developers who want to build applications quickly and easily.

Swarms provides simple, reliable, and agile tools to create your own Swarm tailored to your specific needs. Currently, Swarms is being used in production by RBC, John Deere, and many AI startups.

24/7 Screen & Audio Capture Library to build personalized AI powered by what you've seen, said, or heard. Works with Ollama. Alternative to Rewind.ai. Open. Secure. You own your data. Rust. We are shipping daily, make suggestions, post bugs, give feedback. Building a reliable stream of audio and screenshot data, simplifying life for developers by solving non-trivial problems. Multiple installation options available. Experimental tool with various integrations and features for screen and audio capture, OCR, STT, and more. Open source project focused on enabling tooling & infrastructure for a wide range of applications.

This repository contains the code for coding, pretraining, and finetuning a GPT-like LLM and is the official code repository for the book Build a Large Language Model (From Scratch). In _Build a Large Language Model (From Scratch)_, you'll discover how LLMs work from the inside out. In this book, I'll guide you step by step through creating your own LLM, explaining each stage with clear text, diagrams, and examples. The method described in this book for training and developing your own small-but-functional model for educational purposes mirrors the approach used in creating large-scale foundational models such as those behind ChatGPT.

`npcsh` is a python-based command-line tool designed to integrate Large Language Models (LLMs) and Agents into one's daily workflow by making them available and easily configurable through the command line shell. It leverages the power of LLMs to understand natural language commands and questions, execute tasks, answer queries, and provide relevant information from local files and the web. Users can also build their own tools and call them like macros from the shell. `npcsh` allows users to take advantage of agents (i.e. NPCs) through a managed system, tailoring NPCs to specific tasks and workflows. The tool is extensible with Python, providing useful functions for interacting with LLMs, including explicit coverage for popular providers like ollama, anthropic, openai, gemini, deepseek, and openai-like providers. Users can set up a flask server to expose their NPC team for use as a backend service, run SQL models defined in their project, execute assembly lines, and verify the integrity of their NPC team's interrelations. Users can execute bash commands directly, use favorite command-line tools like VIM, Emacs, ipython, sqlite3, git, pipe the output of these commands to LLMs, or pass LLM results to bash commands.

The MiniAiLive Face Recognition LivenessDetection Server SDK provides system integrators with fast, flexible, and extremely precise facial recognition that can be deployed across various scenarios, including security, access control, public safety, fintech, smart retail, and home protection. The SDK is fully on-premise, meaning all processing happens on the hosting server, and no data leaves the server. The project structure includes bin, cpp, flask, model, python, test_image, and Dockerfile directories. To set up the project on Linux, download the repo, install system dependencies, and copy libraries into the system folder. For Windows, contact MiniAiLive via email. The C++ example involves replacing the license key in main.cpp, building the project, and running it. The Python example requires installing dependencies and running the project. The Python Flask example involves replacing the license key in app.py, installing dependencies, and running the project. The Docker Flask example includes building the docker image and running it. To request a license, contact MiniAiLive. Contributions to the project are welcome by following specific steps. An online demo is available at https://demo.miniai.live. Related products include MiniAI-Face-Recognition-LivenessDetection-AndroidSDK, MiniAI-Face-Recognition-LivenessDetection-iOS-SDK, MiniAI-Face-LivenessDetection-AndroidSDK, MiniAI-Face-LivenessDetection-iOS-SDK, MiniAI-Face-Matching-AndroidSDK, and MiniAI-Face-Matching-iOS-SDK. MiniAiLive is a leading AI solutions company specializing in computer vision and machine learning technologies.

Vespa documentation is served using GitHub Project pages with Jekyll. To edit documentation, check out and work off the master branch in this repository. Documentation is written in HTML or Markdown. Use a single Jekyll template _layouts/default.html to add header, footer and layout. Install bundler, then $ bundle install $ bundle exec jekyll serve --incremental --drafts --trace to set up a local server at localhost:4000 to see the pages as they will look when served. If you get strange errors on bundle install try $ export PATH=“/usr/local/opt/[email protected]/bin:$PATH” $ export LDFLAGS=“-L/usr/local/opt/[email protected]/lib” $ export CPPFLAGS=“-I/usr/local/opt/[email protected]/include” $ export PKG_CONFIG_PATH=“/usr/local/opt/[email protected]/lib/pkgconfig” The output will highlight rendering/other problems when starting serving. Alternatively, use the docker image `jekyll/jekyll` to run the local server on Mac $ docker run -ti --rm --name doc \ --publish 4000:4000 -e JEKYLL_UID=$UID -v $(pwd):/srv/jekyll \ jekyll/jekyll jekyll serve or RHEL 8 $ podman run -it --rm --name doc -p 4000:4000 -e JEKYLL_ROOTLESS=true \ -v "$PWD":/srv/jekyll:Z docker.io/jekyll/jekyll jekyll serve The layout is written in denali.design, see _layouts/default.html for usage. Please do not add custom style sheets, as it is harder to maintain.

Commonplace Bot is a modern representation of the commonplace book, leveraging modern technological advancements in computation, data storage, machine learning, and networking. It aims to capture, engage, and share knowledge by providing a platform for users to collect ideas, quotes, and information, organize them efficiently, engage with the data through various strategies and triggers, and transform the data into new mediums for sharing. The tool utilizes embeddings and cached transformations for efficient data storage and retrieval, flips traditional engagement rules by engaging with the user, and enables users to alchemize raw data into new forms like art prompts. Commonplace Bot offers a unique approach to knowledge management and creative expression.

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.

Awesome GPT + Security is a curated list of awesome security tools, experimental case or other interesting things with LLM or GPT. It includes tools for integrated security, auditing, reconnaissance, offensive security, detecting security issues, preventing security breaches, social engineering, reverse engineering, investigating security incidents, fixing security vulnerabilities, assessing security posture, and more. The list also includes experimental cases, academic research, blogs, and fun projects related to GPT security. Additionally, it provides resources on GPT security standards, bypassing security policies, bug bounty programs, cracking GPT APIs, and plugin security.

LLM4IR-Survey is a collection of papers related to large language models for information retrieval, organized according to the survey paper 'Large Language Models for Information Retrieval: A Survey'. It covers various aspects such as query rewriting, retrievers, rerankers, readers, search agents, and more, providing insights into the integration of large language models with information retrieval systems.

The LLM Prompt Tuning Playbook is a comprehensive guide for improving the performance of post-trained Language Models (LLMs) through effective prompting strategies. It covers topics such as pre-training vs. post-training, considerations for prompting, a rudimentary style guide for prompts, and a procedure for iterating on new system instructions. The playbook emphasizes the importance of clear, concise, and explicit instructions to guide LLMs in generating desired outputs. It also highlights the iterative nature of prompt development and the need for systematic evaluation of model responses.

This repository serves as a hub for Microsoft Official Build & Modernize AI Applications reference solutions and content. It provides access to projects demonstrating how to build Generative AI applications using Azure services like Azure OpenAI, Azure Container Apps, Azure Kubernetes, and Azure Cosmos DB. The solutions include Vector Search & AI Assistant, Real-Time Payment and Transaction Processing, and Medical Claims Processing. Additionally, there are workshops like the Intelligent App Workshop for Microsoft Copilot Stack, focusing on infusing intelligence into traditional software systems using foundation models and design thinking.

Build-your-own-AI-Assistant-Solution-Accelerator is a pre-release and preview solution that helps users create their own AI assistants. It leverages Azure Open AI Service, Azure AI Search, and Microsoft Fabric to identify, summarize, and categorize unstructured information. Users can easily find relevant articles and grants, generate grant applications, and export them as PDF or Word documents. The solution accelerator provides reusable architecture and code snippets for building AI assistants with enterprise data. It is designed for researchers looking to explore flu vaccine studies and grants to accelerate grant proposal submissions.

This repository aims to build a low-parameter LLM model through pretraining, fine-tuning, model rewarding, and reinforcement learning stages to create a chat model capable of simple conversation tasks. It features using the bert4torch training framework, seamless integration with transformers package for inference, optimized file reading during training to reduce memory usage, providing complete training logs for reproducibility, and the ability to customize robot attributes. The chat model supports multi-turn conversations. The trained model currently only supports basic chat functionality due to limitations in corpus size, model scale, SFT corpus size, and quality.

The OpenVINO Build and Deploy repository provides pre-built components and code samples to accelerate the development and deployment of production-grade AI applications across various industries. With the OpenVINO Toolkit from Intel, users can enhance the capabilities of both Intel and non-Intel hardware to meet specific needs. The repository includes AI reference kits, interactive demos, workshops, and step-by-step instructions for building AI applications. Additional resources such as Jupyter notebooks and a Medium blog are also available. The repository is maintained by the AI Evangelist team at Intel, who provide guidance on real-world use cases for the OpenVINO toolkit.

This repository provides a hands-on workshop for developers and solution builders to build a real-life serverless LLM application using foundation models (FMs) through Amazon Bedrock and advanced design patterns such as Reason and Act (ReAct) Agent, text-to-SQL, and Retrieval Augmented Generation (RAG). It guides users through labs to explore common and advanced LLM application design patterns, helping them build a complex Agentic LLM assistant capable of answering retrieval and analytical questions on internal knowledge bases. The repository includes labs on IaC with AWS CDK, building serverless LLM assistants with AWS Lambda and Amazon Bedrock, refactoring LLM assistants into custom agents, extending agents with semantic retrieval, and querying SQL databases. Users need to set up AWS Cloud9, configure model access on Amazon Bedrock, and use Amazon SageMaker Studio environment to run data-pipelines notebooks.

Generates creative passive income ideas and strategies.

Expert in all kinds of PC builds.

街を作ろう　街を作ろう　変わらぬ鼓動　弾ませろよ (作者: @_saip_)

Guides to Build a Successful Network State

Unique custom images based on your input. Just type ideas and the brand image is created.

Your Personal Super Car Wallpaper Creator

Helps you build an OpenAI Assistant Client

Build extensions using the Eyeware Beam eye tracking SDK

Advice and guidance on how to build, maintain, and improve friendships.

Build Contents in Seconds

Business Model Canvas Creator - Build and evaluate your business model

Build your own League of Legends Style Champion with Abilities, Back Story and Splash Art

Your tech buddy helping you refurbish or build a PC from scratch, tailored to your needs, budget, and language.

Helps build full stack apps with React.

Help you build browser extensions more efficiently.

Your expert in Gradle build configuration, offering clear, practical advice.

This GPT will build app & answer questions for flipper zero.

Use AI to build an online business

Build on the XRP Ledger with assistance from this GPT trained on extensive documentation and code samples.

Build new undergraduate degrees with ease