Best AI tools for< Learn How To Recycle Scrap Metal >

EcoSnap is an AI application that helps users recycle plastic more effectively by utilizing Artificial Intelligence technology. Users can simply take a picture of a plastic code and receive guidance on how to recycle it properly. The application aims to promote environmental sustainability by providing easy-to-access information on recycling methods.

How to Leverage AI is a blog that explores the vast potential of artificial intelligence in various fields such as business, writing, art, entrepreneurship, and video making. The blog provides insights, tips, and tutorials on leveraging AI to create compelling stories, characters, children's books, stickers, YouTube shorts, and more. It aims to educate and empower individuals interested in harnessing the power of AI for creative and profitable endeavors.

Careered is a free AI-powered cover letter generator that helps job seekers create professional cover letters in seconds. By pasting in a job posting and your resume, Careered's AI will generate a tailored cover letter that highlights your skills and experience. Careered also provides a library of resume examples, cover letters, and articles to help job seekers get hired.

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.

The Rundown AI is an AI tool designed to help users learn about artificial intelligence in a quick and efficient manner. It offers certificate courses, workshops, resources, newsletters, job board, and free guides related to AI. Users can stay updated with the latest AI news, tutorials, and workshops, and learn how to apply AI in various fields. The tool aims to cater to professionals from companies like Apple, OpenAI, Tesla, and NASA, providing them with valuable insights and knowledge about AI technologies.

ChatTTS is an open-source text-to-speech model designed for dialogue scenarios, supporting both English and Chinese speech generation. Trained on approximately 100,000 hours of Chinese and English data, it delivers speech quality comparable to human dialogue. The tool is particularly suitable for tasks involving large language model assistants and creating dialogue-based audio and video introductions. It provides developers with a powerful and easy-to-use tool based on open-source natural language processing and speech synthesis technologies.

FutureSmart AI is a platform that provides custom Natural Language Processing (NLP) solutions. The platform focuses on integrating Mem0 with LangChain to enhance AI Assistants with Intelligent Memory. It offers tutorials, guides, and practical tips for building applications with large language models (LLMs) to create sophisticated and interactive systems. FutureSmart AI also features internship journeys and practical guides for mastering RAG with LangChain, catering to developers and enthusiasts in the realm of NLP and AI.

Ben's Bites is an AI application that offers self-paced tutorials and courses for professionals to learn how to use AI for work. With a focus on non-technical individuals, the platform provides a curated catalog of courses covering various AI tools and skills. Users can track their progress, get certified, and join a supportive community of like-minded professionals. Ben's Bites aims to help individuals work smarter with AI and transform their careers by providing accessible and practical AI education.

Rendair is an AI application that offers a range of tools and tutorials for architectural visualization and real estate professionals. The platform provides AI-powered solutions for tasks such as upscaling images, removing objects, placing 3D models in real-life locations, and designing over real locations with sketches. Rendair aims to streamline workflows, enhance visual communication, and boost efficiency in the architectural and real estate industries.

AllThingsAI is a website that provides resources and information about artificial intelligence (AI) tools. It offers a directory of AI tools, tutorials on how to use AI tools, and articles about the latest trends in AI. AllThingsAI's mission is to help people find and use the best AI tools to improve their productivity and creativity.

Deferred.com is a free AI tool designed to assist users with 1031 exchanges, a tax-deferral strategy in real estate investment. The platform offers a range of resources, including an exchange calculator, expert answers, and matching with 1031 professionals. Users can optimize tax savings, find the right intermediary, and access essential reading materials on tax deferral and exchange rules. With a focus on simplifying the complex process of 1031 exchanges, Deferred.com aims to empower real estate investors to make informed decisions and maximize their financial benefits.

EdTechTeacher is an innovative AI tool designed to support educators and schools in integrating artificial intelligence into teaching and learning. The platform offers professional development services, workshops, coaching, and resources to help educators enhance their teaching practices with AI technology. EdTechTeacher also collaborates with edtech businesses and organizations to promote equity and inclusion in education through research, partnerships, and software audits.

ACHIV is an AI tool for ideas validation and market research. It helps businesses make informed decisions based on real market needs by providing data-driven insights. The tool streamlines the market validation process, allowing quick adaptation and refinement of product development strategies. ACHIV offers a revolutionary approach to data collection and preprocessing, along with proprietary AI models for smart analysis and predictive forecasting. It is designed to assist entrepreneurs in understanding market gaps, exploring competitors, and enhancing investment decisions with real-time data.

AI Lawyer Lab is a platform that enables legal professionals to leverage artificial intelligence technology to enhance their legal services. By utilizing AI algorithms, users can streamline legal processes, analyze vast amounts of legal data efficiently, and generate insights to support decision-making. The platform empowers lawyers to transform their legal expertise into innovative AI solutions, ultimately improving the quality and efficiency of legal services.

Prayer AI is a platform that utilizes advanced AI algorithms to assist users in creating personalized prayers tailored to their specific needs. The website offers a user-friendly interface for generating heartfelt and sincere prayers for healing, peace, and strength. Users can access a vast library of prayer resources, writing guides, and inspirational articles to enhance their spiritual journey. Prayer AI aims to address common challenges in prayer crafting, such as finding the right words, needing guidance and comfort, limited time and focus, inconsistent prayer styles, and the lack of a personal touch in generic prayers.

Knowledgio is a no-code platform that allows users to easily build custom AI tools for agencies. It helps transform expertise into unique AI solutions, saving up to 70% of time with highly personalized tools. Users can create their AI workspace, embed knowledge without coding, share and monetize their tools, and collaborate in real-time with friends and coworkers. The platform offers an easy-to-use interface, dedicated support, automated distribution, and the ability to upload knowledge files and entities. Knowledgio aims to simplify the process of building AI tools and make it accessible even for non-technical users.

Practical Deep Learning for Coders is a free course designed for individuals with some coding experience who want to learn how to apply deep learning and machine learning to practical problems. The course covers topics such as building and training deep learning models for computer vision, natural language processing, tabular analysis, and collaborative filtering problems. It is based on a 5-star rated book and does not require any special hardware or software. The course is led by Jeremy Howard, a renowned expert in machine learning and the President and Chief Scientist of Kaggle.

QR Diffusion is an AI-powered QR code art generator that allows users to transform their QR codes into visually stunning works of art in seconds. The website offers a variety of templates and customization options to create unique and eye-catching QR codes. With features like dynamic QR data, editable artwork templates, and analytics dashboard, QR Diffusion provides a user-friendly platform for generating artistic QR codes. Users can easily grab attention and increase scan rates with the help of this innovative tool.

Envestnet | Yodlee is an AI-powered Conversational Banking platform that provides financial institutions and FinTech innovators with powerful data solutions. It offers a range of products and APIs for data aggregation, account verification, transaction data enrichment, financial wellness, and conversational AI. The platform enables personalized financial advice, secure account verification, and deep insights into customer needs, driving meaningful interactions. Envestnet | Yodlee revolutionizes the digital customer experience by leveraging natural language processing and machine learning to create seamless, personalized banking experiences across various channels.

Stable Diffusion is an AI art generation tool that allows users to create high-quality images from text descriptions. It offers a user-friendly platform for both beginners and experts to explore AI art creation without deep technical knowledge. The tool excels in producing complex, detailed, and customizable images, making it ideal for artists, designers, and anyone looking to integrate AI into their creative process. Stable Diffusion provides unprecedented creative freedom through features like image generation, inpainting, outpainting, and text-guided image-to-image translation.

TorchRL is an open-source Reinforcement Learning (RL) library for PyTorch. It provides pytorch and **python-first** , low and high level abstractions for RL that are intended to be **efficient** , **modular** , **documented** and properly **tested**. The code is aimed at supporting research in RL. Most of it is written in python in a highly modular way, such that researchers can easily swap components, transform them or write new ones with little effort.

Winpilot is a tool that helps you remove bloatware, optimize your system, and improve your privacy. It has a hybrid web app foundation that allows you to remove AI features in Windows and provides you with access to various system information and settings. Winpilot can also be used to install and uninstall apps, change various settings, and access third-party plugins and scripts.

Diffusion Toolkit is an image metadata-indexer and viewer for AI-generated images. It helps you organize, search, and sort your ever-growing collection. Key features include: - Scanning images and storing prompts and other metadata (PNGInfo) - Searching for images using simple queries or filters - Viewing images and metadata easily - Tagging images with favorites, ratings, and NSFW flags - Sorting images by date created, aesthetic score, or rating - Auto-tagging NSFW images by keywords - Blurring images tagged as NSFW - Creating and managing albums - Viewing and searching prompts - Drag-and-drop functionality Diffusion Toolkit supports various image formats, including JPG/JPEG, PNG, WebP, and TXT metadata. It also supports metadata formats from popular AI image generators like AUTOMATIC1111, InvokeAI, NovelAI, Stable Diffusion, and more. You can use Diffusion Toolkit even on images without metadata and still enjoy features like rating and album management.

This repository introduces and helps organizations get started with building AI Apps and incorporating Large Language Models (LLMs) into them. The workshop covers topics such as prompt engineering, AI orchestration, and deploying AI apps. Participants will learn how to use Azure OpenAI, Langchain/ Semantic Kernel, Qdrant, and Azure AI Search to build intelligent applications.

Transformer Explainer is an interactive visualization tool to help users learn how Transformer-based models like GPT work. It allows users to experiment with text and observe how internal components of the Transformer predict next tokens in real time. The tool runs a live GPT-2 model in the browser, providing an educational experience on text-generative models.

Bert-VITS2 is a repository that provides a backbone with multilingual BERT for text-to-speech (TTS) applications. It offers an alternative to BV2/GSV projects and is inspired by the MassTTS project. Users can refer to the code to learn how to train models for TTS. The project is not maintained actively in the short term. It is not to be used for any purposes that violate the laws of the People's Republic of China, and strictly prohibits any political-related use.

This repository is part of the Certified Cloud Native Applied Generative AI Engineer program, focusing on Applied Generative AI Fundamentals. It covers prompt engineering, developing custom GPTs, and Multi AI Agent Systems. The course helps in building a strong understanding of generative AI, applying Large Language Models (LLMs) and diffusion models practically. It introduces principles of prompt engineering to work efficiently with AI, creating custom AI models and GPTs using OpenAI, Azure, and Google technologies. It also utilizes open source libraries like LangChain, CrewAI, and LangGraph to automate tasks and business processes.

Robocode Tank Royale is a programming game where the goal is to code a bot in the form of a virtual tank to compete against other bots in a virtual battle arena. The player is the programmer of a bot, who will have no direct influence on the game him/herself. Instead, the player must write a program with the logic for the brain of the bot. The program contains instructions to the bot about how it should move, scan for opponent bots, fire its gun, and how it should react to various events occurring during a battle. The name **Robocode** is short for "Robot code," which originates from the original/first version of the game. **Robocode Tank Royale** is the next evolution/version of the game, where bots can participate via the Internet/network. All bots run over a web socket. The game aims to help you learn how to program and improve your programming skills, and have fun while doing it. Robocode is also useful when studying or improving machine learning in a fast-running real-time game. Robocode's battles take place on a "battlefield," where bots fight it out until only one is left, like a Battle Royale game. Hence the name **Tank Royale**. Note that Robocode contains no gore, blood, people, and politics. The battles are simply for the excitement of the competition we appreciate so much.

Mastering GitHub Copilot for AI Paired Programming is a comprehensive course designed to equip you with the skills and knowledge necessary to harness the power of GitHub Copilot, an AI-driven coding assistant. Through a series of engaging lessons, you will learn how to seamlessly integrate GitHub Copilot into your workflow, leveraging its autocompletion, customizable features, and advanced programming techniques. This course is tailored to provide you with a deep understanding of AI-driven algorithms and best practices, enabling you to enhance code quality and accelerate your coding skills. By embracing the transformative power of AI paired programming, you will gain the tools and confidence needed to succeed in today's dynamic software development landscape.

This repository contains code for the O'Reilly Live Online Training for Deploying GPT & LLMs. Learn how to use GPT-4, ChatGPT, OpenAI embeddings, and other large language models to build applications for experimenting and production. Gain practical experience in building applications like text generation, summarization, question answering, and more. Explore alternative generative models such as Cohere and GPT-J. Understand prompt engineering, context stuffing, and few-shot learning to maximize the potential of GPT-like models. Focus on deploying models in production with best practices and debugging techniques. By the end of the training, you will have the skills to start building applications with GPT and other large language models.

This repository contains executable Python notebooks, sample apps, and resources for testing out the Elastic platform. Users can learn how to use Elasticsearch as a vector database for storing embeddings, build use cases like retrieval augmented generation (RAG), summarization, and question answering (QA), and test Elastic's leading-edge capabilities like the Elastic Learned Sparse Encoder and reciprocal rank fusion (RRF). It also allows integration with projects like OpenAI, Hugging Face, and LangChain to power LLM-powered applications. The repository enables modern search experiences powered by AI/ML.

The Microsoft Semantic Kernel Documentation GitHub repository contains technical product documentation for Semantic Kernel. It serves as the home of technical content for Microsoft products and services. Contributors can learn how to make contributions by following the Docs contributor guide. The project follows the Microsoft Open Source Code of Conduct.

Local RAG is an offline, open-source tool that allows users to ingest files for retrieval augmented generation (RAG) using large language models (LLMs) without relying on third parties or exposing sensitive data. It supports offline embeddings and LLMs, multiple sources including local files, GitHub repos, and websites, streaming responses, conversational memory, and chat export. Users can set up and deploy the app, learn how to use Local RAG, explore the RAG pipeline, check planned features, known bugs and issues, access additional resources, and contribute to the project.

IPEX-LLM is a low-bit LLM library on Intel XPU (Xeon/Core/Flex/Arc/PVC) that provides tutorials to help users understand and use the library to build LLM applications. The tutorials cover topics such as introduction to IPEX-LLM, environment setup, basic application development, Chinese language support, intermediate and advanced application development, GPU acceleration, and finetuning. Users can learn how to build chat applications, chatbots, speech recognition, and more using IPEX-LLM.

GitHub Copilot is an AI-powered tool that offers autocomplete-style suggestions for coding in VS Code and Codespaces. It analyzes the context in the file being edited and related files to provide code and comment suggestions. This tool is designed for developers, DevOps engineers, software development managers, and testers. Users can learn how to install Copilot, accept suggestions from code and comments, and build JavaScript files with code generated by the AI. To use GitHub Copilot, a subscription is required, and the course can be completed in under an hour.

LLM-workshop-2024 is a tutorial designed for coders interested in understanding the building blocks of large language models (LLMs), how LLMs work, and how to code them from scratch in PyTorch. The tutorial covers topics such as introduction to LLMs, understanding LLM input data, coding LLM architecture, pretraining LLMs, loading pretrained weights, and finetuning LLMs using open-source libraries. Participants will learn to implement a small GPT-like LLM, including data input pipeline, core architecture components, and pretraining code.

This course has 18 lessons. Each lesson covers its own topic so start wherever you like! Lessons are labeled either "Learn" lessons explaining a Generative AI concept or "Build" lessons that explain a concept and code examples in both **Python** and **TypeScript** when possible. Each lesson also includes a "Keep Learning" section with additional learning tools. **What You Need** * Access to the Azure OpenAI Service **OR** OpenAI API - _Only required to complete coding lessons_ * Basic knowledge of Python or Typescript is helpful - *For absolute beginners check out these Python and TypeScript courses. * A Github account to fork this entire repo to your own GitHub account We have created a **Course Setup** lesson to help you with setting up your development environment. Don't forget to star (🌟) this repo to find it easier later. ## 🧠 Ready to Deploy? If you are looking for more advanced code samples, check out our collection of Generative AI Code Samples in both **Python** and **TypeScript**. ## 🗣️ Meet Other Learners, Get Support Join our official AI Discord server to meet and network with other learners taking this course and get support. ## 🚀 Building a Startup? Sign up for Microsoft for Startups Founders Hub to receive **free OpenAI credits** and up to **$150k towards Azure credits to access OpenAI models through Azure OpenAI Services**. ## 🙏 Want to help? Do you have suggestions or found spelling or code errors? Raise an issue or Create a pull request ## 📂 Each lesson includes: * A short video introduction to the topic * A written lesson located in the README * Python and TypeScript code samples supporting Azure OpenAI and OpenAI API * Links to extra resources to continue your learning ## 🗃️ Lessons | | Lesson Link | Description | Additional Learning | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | | 00 | Course Setup | **Learn:** How to Setup Your Development Environment | Learn More | | 01 | Introduction to Generative AI and LLMs | **Learn:** Understanding what Generative AI is and how Large Language Models (LLMs) work. | Learn More | | 02 | Exploring and comparing different LLMs | **Learn:** How to select the right model for your use case | Learn More | | 03 | Using Generative AI Responsibly | **Learn:** How to build Generative AI Applications responsibly | Learn More | | 04 | Understanding Prompt Engineering Fundamentals | **Learn:** Hands-on Prompt Engineering Best Practices | Learn More | | 05 | Creating Advanced Prompts | **Learn:** How to apply prompt engineering techniques that improve the outcome of your prompts. | Learn More | | 06 | Building Text Generation Applications | **Build:** A text generation app using Azure OpenAI | Learn More | | 07 | Building Chat Applications | **Build:** Techniques for efficiently building and integrating chat applications. | Learn More | | 08 | Building Search Apps Vector Databases | **Build:** A search application that uses Embeddings to search for data. | Learn More | | 09 | Building Image Generation Applications | **Build:** A image generation application | Learn More | | 10 | Building Low Code AI Applications | **Build:** A Generative AI application using Low Code tools | Learn More | | 11 | Integrating External Applications with Function Calling | **Build:** What is function calling and its use cases for applications | Learn More | | 12 | Designing UX for AI Applications | **Learn:** How to apply UX design principles when developing Generative AI Applications | Learn More | | 13 | Securing Your Generative AI Applications | **Learn:** The threats and risks to AI systems and methods to secure these systems. | Learn More | | 14 | The Generative AI Application Lifecycle | **Learn:** The tools and metrics to manage the LLM Lifecycle and LLMOps | Learn More | | 15 | Retrieval Augmented Generation (RAG) and Vector Databases | **Build:** An application using a RAG Framework to retrieve embeddings from a Vector Databases | Learn More | | 16 | Open Source Models and Hugging Face | **Build:** An application using open source models available on Hugging Face | Learn More | | 17 | AI Agents | **Build:** An application using an AI Agent Framework | Learn More | | 18 | Fine-Tuning LLMs | **Learn:** The what, why and how of fine-tuning LLMs | Learn More |

High Performance LLMs 2024 is a comprehensive course focused on building a high-performance Large Language Model (LLM) from scratch using Jax. The course covers various aspects such as training, inference, roofline analysis, compilation, sharding, profiling, and optimization techniques. Participants will gain a deep understanding of Jax and learn how to design high-performance computing systems that operate close to their physical limits.

This repository contains example code to demonstrate how to connect MATLAB to the OpenAI™ Chat Completions API (which powers ChatGPT™) as well as OpenAI Images API (which powers DALL·E™). This allows you to leverage the natural language processing capabilities of large language models directly within your MATLAB environment.

Phi-3CookBook is a manual on how to use the Microsoft Phi-3 family, which consists of open AI models developed by Microsoft. The Phi-3 models are highly capable and cost-effective small language models, outperforming models of similar and larger sizes across various language, reasoning, coding, and math benchmarks. The repository provides detailed information on different Phi-3 models, their performance, availability, and usage scenarios across different platforms like Azure AI Studio, Hugging Face, and Ollama. It also covers topics such as fine-tuning, evaluation, and end-to-end samples for Phi-3-mini and Phi-3-vision models, along with labs, workshops, and contributing guidelines.

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Learn how to DJ or improve your DJing skills

Learn How To Make $10,000/Month With AI

Learn how to use ChatGPT effectively and ethically in work and business! I also recommend prompts and techniques for using ChatGPT well in work and business.

Learn how to use AI to 100x your career

Learn how to read other people's body langauge, and us your own to communicate powerfully.

Learn how to sleep again for better mental health

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Lucid dreaming expert trained on the latest techniques - learn how to dream in the age of abundance

Discover the world of Permaculture with me! Learn how to create a thriving food forest, mastering regenerative gardening and agroforestry to grow a diverse, sustainable garden and farm.

Chat with an expert on the CheerLights IoT project. Learn how to use its API and write code to connect your project.

Assess the TRL of your projects, get ideas for specific TRLs, learn how to advance from one TRL to the next

I am the Japanese chef who explains how to make sushi to perfection. 😊🍣

Um instrutor e tutor que auxilia você na aprendizagem da produção de livros digitais no formato EPUB3.

Calcola e impara come si fanno i calcoli

Your go-to source for trendy upcycling ideas and visuals!

Your must have guide from fishing trip planning to cooking your catch, now with fish ID from images.

Seasonal and informative guide on snow and winter sports

Multilingual board game guide with focused gameplay explanations and scenarios

Your friendly Flutter widget expert that will find the perfect widget for your use case