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Scale AI is an AI tool that accelerates the development of AI applications for enterprise, government, and automotive sectors. It offers Scale Data Engine for generative AI, Scale GenAI Platform, and evaluation services for model developers. The platform leverages enterprise data to build sustainable AI programs and partners with leading AI models. Scale's focus on generative AI applications, data labeling, and model evaluation sets it apart in the AI industry.

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.

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.

Momen is a platform that allows users to build web applications without the need for coding. From designing to developing and scaling apps, Momen offers a smooth learning curve for users to create custom apps. The platform provides features such as dynamic canvas, live preview, interactive animations, and reusable components. With Momen, users can clarify user journeys, unleash their creativity, and build feature-rich apps with ease. The platform also ensures predictable costs, assured scalability, and advanced collaboration workflows for million-user projects. Momen AI 2.0 enables users to build AI agents. Additionally, Momen offers SEO controls, AI app development, exclusive programs for education, tailored solutions for content creators, and various resources and support options.

311 Institute is a leading provider of futures education, foresight, and keynotes. We help organizations and individuals understand and prepare for the future through our research, advisory services, and educational programs. Our team of experts provides insights on emerging technologies, global trends, and disruptive innovation. We believe that the future is not something to be feared, but rather an opportunity to be embraced. By understanding the forces that are shaping the future, we can make better decisions today and create a better tomorrow.

SweetRush is a corporate training and eLearning company that provides custom learning solutions, talent solutions, XR immersive tech for learning, voiceover services, and support for nonprofits. They specialize in creating engaging and effective learning programs that help businesses thrive. SweetRush has been recognized for its excellence in learning and development, winning numerous awards for its innovative and impactful work.

GPTfy is a website that helps users find the best GPTs (Generative Pre-trained Transformers) for their needs. GPTs are AI-powered language models that can be used for a variety of tasks, such as writing, translating, and coding. GPTfy provides a directory of GPTs, as well as reviews and comparisons to help users choose the right GPT for their project.

Google for Developers provides developers with tools, resources, and documentation to build apps for Android, Chrome, ChromeOS, Cloud, Firebase, Flutter, Google AI Studio, Google Maps Platform, Google Workspace, TensorFlow, and YouTube. It also offers programs and events for developers to learn and connect with each other.

Coursebox is an AI-powered course creation platform that helps businesses create and deliver engaging and effective training programs. With Coursebox, you can convert your existing resources into courses, add AI-powered features like chatbots and quizzes, and track your learners' progress. Coursebox is used by over 30,000 businesses worldwide to create and deliver training programs that are faster, more engaging, and more effective.

Maven is an AI-powered platform offering live, online courses for professionals in various fields such as product design, engineering, marketing, business, leadership, and investing. The platform provides interactive cohorts with high student engagement, hands-on projects, and up-to-date case studies to help professionals acquire practical skills for immediate application in their jobs. Maven's curated frameworks and expert feedback aim to accelerate career growth by condensing years of operating experience into weeks. With a focus on AI-related courses, Maven offers certifications and training programs to help individuals confidently build AI products and lead AI organizations.

Data Science Dojo is a globally recognized e-learning platform that offers programs in data science, data analytics, machine learning, and more. They provide comprehensive and hands-on training in various formats such as in-person, virtual instructor-led, and self-paced training. The focus is on helping students develop a think-business-first mindset to apply their data science skills effectively in real-world scenarios. With over 2500 enterprises trained, Data Science Dojo aims to make data science accessible to everyone.

ZAKA AI is an AI education platform offering a range of programs and training in artificial intelligence. The platform aims to equip individuals with the knowledge and skills needed to excel in the rapidly growing field of AI. ZAKA AI provides specialized training in areas such as machine learning, data science, data engineering, data analytics, and more. The platform also offers corporate training, consultancy services, and AI solutions to help businesses leverage the power of AI for innovation and growth.

AI CERTs is a platform that offers role-based AI and Blockchain Certifications to promote lifelong learning and help companies build a smarter workforce. With a mission to certify a billion people, AI CERTs provides certifications across technical, business, and future-oriented roles. The platform integrates AI with Blockchain technology, ensuring practical, job-ready expertise. AI CERTs is committed to social impact, aiming to empower individuals with premier AI and Blockchain certifications while contributing to building schools for underprivileged children.

PlanMyFit is an AI-powered training service that offers personalized workout plans tailored to individual needs at a competitive price. The service utilizes advanced AI technology to create customized training programs based on user goals, experience, and preferences, providing a cost-effective alternative to traditional coaching. Users can access detailed workout plans designed by the AI system, helping them achieve their fitness goals efficiently and effectively.

Simplilearn is an online bootcamp and certification platform that offers courses in various fields, including AI and machine learning, project management, cyber security, cloud computing, and data science. The platform partners with leading universities and companies to provide industry-relevant training and certification programs. Simplilearn's courses are designed to help learners develop job-ready skills and advance their careers.

aiWORKOUT generator is an AI-powered fitness platform that offers personalized workout plans tailored to individual needs and circumstances. The platform combines advanced AI technology with certified fitness trainers to create hyper-personalized workout plans that are safe and effective. Users can choose from different membership tiers to access customized workout programs, nutrition plans, 1-on-1 training sessions, and ongoing expert adjustments. The platform's AI exercise generator takes into account users' current fitness levels, goals, and equipment availability to create evolving workout plans. With aiWORKOUT generator, users can experience the future of fitness by achieving their goals faster and more efficiently.

Carnegie Mellon University's School of Computer Science (SCS) is a world-renowned institution dedicated to advancing the field of computer science and training the next generation of innovators. With a rich history of groundbreaking research and a commitment to excellence in education, SCS offers a comprehensive range of programs, from undergraduate to doctoral levels, covering various specializations within computer science. The school's faculty are leading experts in their respective fields, actively engaged in cutting-edge research and collaborating with industry partners to solve real-world problems. SCS graduates are highly sought after by top companies and organizations worldwide, recognized for their exceptional skills and ability to drive innovation.

LearnWorlds is an AI-powered Learning Management System (LMS) designed to help course creators build and sell online courses. It offers a wide range of features such as flexible course creation, AI assistant, interactive video, live sessions, assessment builder, survey builder, website builder, mobile app builder, pop-up builder, custom user roles, analytics & reports, white-label website, marketing tools, SCORM compatibility, checkout & payments, bundles & subscriptions, affiliate programs, and integrations. The platform caters to various industries and provides solutions for customer training, enterprise LMS, non-profit organizations, creators, coaching, fitness, finance, health, and employee training. LearnWorlds aims to provide engaging and effective training experiences through interactive videos, ebooks, assessments, and social-first learning environments. It also offers tools for building high-converting websites, profitable marketing funnels, white-label course platforms, and mobile apps. The platform is known for its versatility, ease of use, and extensive integrations with marketing tools.

The Institute of Computer Science at the University of Würzburg is a leading research and teaching institution in the field of computer science. With 29 professors and around 200 employees, the institute offers a wide range of study programs, including bachelor's, master's, and teaching degrees. The institute's research focuses on four main areas: Computing, Systems and Networks; Artificial Intelligence and Data Science; Human-Centered Computing; and Aerospace and Robotics.

IBM is a leading technology company that offers a wide range of AI and machine learning solutions to help businesses innovate and grow. From AI models to cloud services, IBM provides cutting-edge technology to address various business challenges. The company also focuses on AI ethics and offers training programs to enhance skills in cybersecurity and data analytics. With a strong emphasis on research and development, IBM continues to push the boundaries of technology to solve real-world problems and drive digital transformation across industries.

Rubix ML is a high-level machine learning and deep learning library for the PHP language. It provides a developer-friendly API with over 40 supervised and unsupervised learning algorithms, support for ETL, preprocessing, and cross-validation. The library is open source and free to use commercially. Rubix ML allows users to build machine learning programs in PHP, covering the entire machine learning life cycle from data processing to training and production. It also offers tutorials and educational content to help users get started with machine learning projects.

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.

An Open-Source Engineering Guide for Prompt-in-context-learning from EgoAlpha Lab. 📝 Papers | ⚡️ Playground | 🛠 Prompt Engineering | 🌍 ChatGPT Prompt | ⛳ LLMs Usage Guide > **⭐️ Shining ⭐️:** This is fresh, daily-updated resources for in-context learning and prompt engineering. As Artificial General Intelligence (AGI) is approaching, let’s take action and become a super learner so as to position ourselves at the forefront of this exciting era and strive for personal and professional greatness. The resources include: _🎉Papers🎉_: The latest papers about _In-Context Learning_ , _Prompt Engineering_ , _Agent_ , and _Foundation Models_. _🎉Playground🎉_: Large language models（LLMs）that enable prompt experimentation. _🎉Prompt Engineering🎉_: Prompt techniques for leveraging large language models. _🎉ChatGPT Prompt🎉_: Prompt examples that can be applied in our work and daily lives. _🎉LLMs Usage Guide🎉_: The method for quickly getting started with large language models by using LangChain. In the future, there will likely be two types of people on Earth (perhaps even on Mars, but that's a question for Musk): - Those who enhance their abilities through the use of AIGC; - Those whose jobs are replaced by AI automation. 💎EgoAlpha: Hello! human👤, are you ready?

Kork is an experimental Langchain chain that helps build natural language APIs powered by LLMs. It allows assembling a natural language API from python functions, generating a prompt for correct program writing, executing programs safely, and controlling the kind of programs LLMs can generate. The language is limited to variable declarations, function invocations, and arithmetic operations, ensuring predictability and safety in production settings.

Agno is a lightweight library for building multi-modal Agents. It is designed with core principles of simplicity, uncompromising performance, and agnosticism, allowing users to create blazing fast agents with minimal memory footprint. Agno supports any model, any provider, and any modality, making it a versatile container for AGI. Users can build agents with lightning-fast agent creation, model agnostic capabilities, native support for text, image, audio, and video inputs and outputs, memory management, knowledge stores, structured outputs, and real-time monitoring. The library enables users to create autonomous programs that use language models to solve problems, improve responses, and achieve tasks with varying levels of agency and autonomy.

Chainlit is an open-source async Python framework which allows developers to build scalable Conversational AI or agentic applications. It enables users to create ChatGPT-like applications, embedded chatbots, custom frontends, and API endpoints. The framework provides features such as multi-modal chats, chain of thought visualization, data persistence, human feedback, and an in-context prompt playground. Chainlit is compatible with various Python programs and libraries, including LangChain, Llama Index, Autogen, OpenAI Assistant, and Haystack. It offers a range of examples and a cookbook to showcase its capabilities and inspire users. Chainlit welcomes contributions and is licensed under the Apache 2.0 license.

AIHub is a client that integrates the capabilities of multiple large models, allowing users to quickly and easily build their own personalized AI assistants. It supports custom plugins for endless possibilities. The tool provides powerful AI capabilities, rich configuration options, customization of AI assistants for text and image conversations, AI drawing, installation of custom plugins, personal knowledge base building, AI calendar generation, support for AI mini programs, and ongoing development of additional features. Users can download the application package from the release section, resolve issues related to macOS app installation, and contribute ideas by submitting issues. The project development involves installation, development, and building processes for different operating systems.

The Artificial Intelligence Controller Interface (AICI) lets you build Controllers that constrain and direct output of a Large Language Model (LLM) in real time. Controllers are flexible programs capable of implementing constrained decoding, dynamic editing of prompts and generated text, and coordinating execution across multiple, parallel generations. Controllers incorporate custom logic during the token-by-token decoding and maintain state during an LLM request. This allows diverse Controller strategies, from programmatic or query-based decoding to multi-agent conversations to execute efficiently in tight integration with the LLM itself.

Fueling-Ambitions-Via-Book-Discoveries is an Advanced Machine Learning & AI Course designed for students, professionals, and AI researchers. The course integrates rigorous theoretical foundations with practical coding exercises, ensuring learners develop a deep understanding of AI algorithms and their applications in finance, healthcare, robotics, NLP, cybersecurity, and more. Inspired by MIT, Stanford, and Harvard’s AI programs, it combines academic research rigor with industry-standard practices used by AI engineers at companies like Google, OpenAI, Facebook AI, DeepMind, and Tesla. Learners can learn 50+ AI techniques from top Machine Learning & Deep Learning books, code from scratch with real-world datasets, projects, and case studies, and focus on ML Engineering & AI Deployment using Django & Streamlit. The course also offers industry-relevant projects to build a strong AI portfolio.

**Description:** PromptFuzz is an automated tool that generates high-quality fuzz drivers for libraries via a fuzz loop constructed on mutating LLMs' prompts. The fuzz loop of PromptFuzz aims to guide the mutation of LLMs' prompts to generate programs that cover more reachable code and explore complex API interrelationships, which are effective for fuzzing. **Features:** * **Multiply LLM support** : Supports the general LLMs: Codex, Inocder, ChatGPT, and GPT4 (Currently tested on ChatGPT). * **Context-based Prompt** : Construct LLM prompts with the automatically extracted library context. * **Powerful Sanitization** : The program's syntax, semantics, behavior, and coverage are thoroughly analyzed to sanitize the problematic programs. * **Prioritized Mutation** : Prioritizes mutating the library API combinations within LLM's prompts to explore complex interrelationships, guided by code coverage. * **Fuzz Driver Exploitation** : Infers API constraints using statistics and extends fixed API arguments to receive random bytes from fuzzers. * **Fuzz engine integration** : Integrates with grey-box fuzz engine: LibFuzzer. **Benefits:** * **High branch coverage:** The fuzz drivers generated by PromptFuzz achieved a branch coverage of 40.12% on the tested libraries, which is 1.61x greater than _OSS-Fuzz_ and 1.67x greater than _Hopper_. * **Bug detection:** PromptFuzz detected 33 valid security bugs from 49 unique crashes. * **Wide range of bugs:** The fuzz drivers generated by PromptFuzz can detect a wide range of bugs, most of which are security bugs. * **Unique bugs:** PromptFuzz detects uniquely interesting bugs that other fuzzers may miss. **Usage:** 1. Build the library using the provided build scripts. 2. Export the LLM API KEY if using ChatGPT or GPT4. 3. Generate fuzz drivers using the `fuzzer` command. 4. Run the fuzz drivers using the `harness` command. 5. Deduplicate and analyze the reported crashes. **Future Works:** * **Custom LLMs suport:** Support custom LLMs. * **Close-source libraries:** Apply PromptFuzz to close-source libraries by fine tuning LLMs on private code corpus. * **Performance** : Reduce the huge time cost required in erroneous program elimination.

Wingman AI allows you to use your voice to talk to various AI providers and LLMs, process your conversations, and ultimately trigger actions such as pressing buttons or reading answers. Our _Wingmen_ are like characters and your interface to this world, and you can easily control their behavior and characteristics, even if you're not a developer. AI is complex and it scares people. It's also **not just ChatGPT**. We want to make it as easy as possible for you to get started. That's what _Wingman AI_ is all about. It's a **framework** that allows you to build your own Wingmen and use them in your games and programs. The idea is simple, but the possibilities are endless. For example, you could: * **Role play** with an AI while playing for more immersion. Have air traffic control (ATC) in _Star Citizen_ or _Flight Simulator_. Talk to Shadowheart in Baldur's Gate 3 and have her respond in her own (cloned) voice. * Get live data such as trade information, build guides, or wiki content and have it read to you in-game by a _character_ and voice you control. * Execute keystrokes in games/applications and create complex macros. Trigger them in natural conversations with **no need for exact phrases.** The AI understands the context of your dialog and is quite _smart_ in recognizing your intent. Say _"It's raining! I can't see a thing!"_ and have it trigger a command you simply named _WipeVisors_. * Automate tasks on your computer * improve accessibility * ... and much more

The ai-cli-lib is a library designed to enhance interactive command-line editing programs by integrating with GPT large language model servers. It allows users to obtain AI help from servers like Anthropic's or OpenAI's, or a llama.cpp server. The library acts as a command line copilot, providing natural language prompts and responses to enhance user experience and productivity. It supports various platforms such as Debian GNU/Linux, macOS, and Cygwin, and requires specific packages for installation and operation. Users can configure the library to activate during shell startup and interact with command-line programs like bash, mysql, psql, gdb, sqlite3, and bc. Additionally, the library provides options for configuring API keys, setting up llama.cpp servers, and ensuring data privacy by managing context settings.

TypeChat.NET is a framework that provides cross-platform libraries for building natural language interfaces with language models using strong types, type validation, and simple type-safe programs. It translates user intent into strongly typed objects and JSON programs, with support for schema export, extensibility, and common scenarios. The framework is actively developed with frequent updates, evolving based on exploration and feedback. It consists of assemblies for translating user intent, synthesizing JSON programs, and integrating with Microsoft Semantic Kernel. TypeChat.NET requires familiarity with and access to OpenAI language models for its examples and scenarios.

AgentLang is an open-source programming language and framework designed for solving complex tasks with the help of AI agents. It allows users to build business applications rapidly from high-level specifications, making it more efficient than traditional programming languages. The language is data-oriented and declarative, with a syntax that is intuitive and closer to natural languages. AgentLang introduces innovative concepts such as first-class AI agents, graph-based hierarchical data model, zero-trust programming, declarative dataflow, resolvers, interceptors, and entity-graph-database mapping.

OmAgent is an open-source agent framework designed to streamline the development of on-device multimodal agents. It enables agents to empower various hardware devices, integrates speed-optimized SOTA multimodal models, provides SOTA multimodal agent algorithms, and focuses on optimizing the end-to-end computing pipeline for real-time user interaction experience. Key features include easy connection to diverse devices, scalability, flexibility, and workflow orchestration. The architecture emphasizes graph-based workflow orchestration, native multimodality, and device-centricity, allowing developers to create bespoke intelligent agent programs.

draive is an open-source Python library designed to simplify and accelerate the development of LLM-based applications. It offers abstract building blocks for connecting functionalities with large language models, flexible integration with various AI solutions, and a user-friendly framework for building scalable data processing pipelines. The library follows a function-oriented design, allowing users to represent complex programs as simple functions. It also provides tools for measuring and debugging functionalities, ensuring type safety and efficient asynchronous operations for modern Python apps.

The Agent OS is an experimental framework and runtime to build sophisticated, long running, and self-coding AI agents. We believe that the most important super-power of AI agents is to write and execute their own code to interact with the world. But for that to work, they need to run in a suitable environment—a place designed to be inhabited by agents. The Agent OS is designed from the ground up to function as a long-term computing substrate for these kinds of self-evolving agents.

LLMWare is a framework for quickly developing LLM-based applications including Retrieval Augmented Generation (RAG) and Multi-Step Orchestration of Agent Workflows. This project provides a comprehensive set of tools that anyone can use - from a beginner to the most sophisticated AI developer - to rapidly build industrial-grade, knowledge-based enterprise LLM applications. Our specific focus is on making it easy to integrate open source small specialized models and connecting enterprise knowledge safely and securely.

GPT Home is a project that allows users to build their own home assistant using Raspberry Pi and OpenAI API. It serves as a guide for setting up a smart home assistant similar to Google Nest Hub or Amazon Alexa. The project integrates various components like OpenAI, Spotify, Philips Hue, and OpenWeatherMap to provide a personalized home assistant experience. Users can follow the detailed instructions provided to build their own version of the home assistant on Raspberry Pi, with optional components for customization. The project also includes system configurations, dependencies installation, and setup scripts for easy deployment. Overall, GPT Home offers a DIY solution for creating a smart home assistant using Raspberry Pi and OpenAI technology.

Ax is a Typescript library that allows users to build intelligent agents inspired by agentic workflows and the Stanford DSP paper. It seamlessly integrates with multiple Large Language Models (LLMs) and VectorDBs to create RAG pipelines or collaborative agents capable of solving complex problems. The library offers advanced features such as streaming validation, multi-modal DSP, and automatic prompt tuning using optimizers. Users can easily convert documents of any format to text, perform smart chunking, embedding, and querying, and ensure output validation while streaming. Ax is production-ready, written in Typescript, and has zero dependencies.

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In-depth yet casual guide on DE&I.

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Expert in non-profit organization support and grant writing. Start by uploading the grant you want to apply for.

Expert in amateur and professional radio communications.

Interactive ML/AI tutor providing structured daily lessons.

JS programming development（JS编程开发）

Coding Wizard🧙‍♂️ Learn to Prompt-gram! Create a website with a sentence. 20+ Hotkeys for coding flows. 75 starter projects to learn prompt-1st code & art. Build anything! Ask any question or upload a photo. Type R for README, K for cmd menu v2.2 ✨📜 GPTavern

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TypeScript programming guide and problem-solver.