AI tools for ai for moot court
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CopyMonkey
CopyMonkey is an AI-powered Amazon listing optimization tool that helps sellers create optimized listings in seconds. The tool uses AI to generate keyword-optimized bullet points and descriptions, analyze competitor listings, and suggest listing improvements based on sales results. CopyMonkey is used by over 1000 sellers and has been proven to help sellers increase their sales.

designtools.ai
This website provides a curated collection of AI tools specifically designed for designers, including tools for UI & UX, colors, images, typography, marketing, and productivity. These tools leverage artificial intelligence to enhance and streamline the design workflow, enabling designers to create stunning visuals, generate content, automate tasks, and improve their overall productivity.

OverScene
OverScene is an AI-powered application that seamlessly integrates with your existing software, empowering you to enhance your creative workflow. With OverScene, you can harness the power of AI to transform sketches into masterpieces, elevate 3D models with stunning detail, and effortlessly convert screenshots to code. Its advanced technology, accessible through a user-friendly interface, makes AI as easy as child's play. OverScene empowers you to unleash your creativity without the constraints of plugins or operating systems, opening up a world of possibilities for your projects.

MagicSchool.ai
MagicSchool.ai is an AI-powered platform designed specifically for educators and students. It offers a comprehensive suite of 60+ AI tools to help teachers with lesson planning, differentiation, assessment writing, IEP writing, clear communication, and more. MagicSchool.ai is easy to use, with an intuitive interface and built-in training resources. It is also interoperable with popular LMS platforms and offers easy export options. MagicSchool.ai is committed to responsible AI for education, with a focus on safety, privacy, and compliance with FERPA and state privacy laws.

AI for Business Advisory
AI for Business Advisory is a platform designed to help Kiwi companies in New Zealand leverage Artificial Intelligence. It offers practical workshops, advice, and events to inspire curiosity, upskill teams, and discover opportunities for businesses to thrive with AI. The platform provides independent and practical advice, showcases compelling use cases, and helps businesses scale their capabilities with AI. AI for Business Advisory aims to inform leadership teams, identify where to leverage AI, and enable practical solutions to solve business problems. The platform also hosts AI events and shares insights through articles and case studies.

timeOS
timeOS is an AI productivity companion that captures and summarizes your day, organizes all relevant information within the right tool, and proactively surfaces the knowledge you need, when you need it. It leverages AI to bypass non-essential meetings, provides detailed reports of missed events, and offers automatic notes without a bot. The platform seamlessly integrates actionable insights into your workflow, syncs with various tools, and offers multilingual support for clear communication. With a security-first approach, timeOS ensures user-controlled data privacy and encrypted storage of meeting summaries.

Monsha
Monsha is an AI tool designed for teachers to assist with curriculum planning, resource creation, and differentiation. It serves as an all-in-one hub for teachers, offering features such as lesson planning, resource generation, and assessment creation. Monsha aims to simplify the teaching workflow by leveraging advanced AI models to automate tasks and provide educators with ready-to-use teaching materials. The platform allows teachers to customize, adapt, and export resources in various formats, making it a valuable tool for educators worldwide.

GC AI
GC AI is an AI tool designed for in-house legal teams, offering features such as legal prompting, real-time web research, and exact quote generation. It provides accurate outputs for legal use cases based on feedback from in-house lawyers and uses trustworthy legal sources for information. The tool is built by a 3x General Counsel and former Morrison & Foerster litigator, ensuring confidentiality, security, and compliance with California Bar AI guidance.

Kapa.ai
Kapa.ai is an AI tool that transforms technical documentation and knowledge bases into a reliable, LLM-powered AI assistant. It provides precise, context-specific answers, identifies documentation gaps, and integrates effortlessly with various platforms. Trusted by leading companies, Kapa.ai is designed for organizations with technical products, offering accuracy, rapid deployment features, and enterprise-grade security.

Chatsheet
Chatsheet is an AI-powered spreadsheet platform that leverages artificial intelligence to enhance data analysis and decision-making processes. It offers advanced features such as predictive analytics, natural language processing, and automated insights generation. With Chatsheet, users can easily manipulate and visualize data, collaborate in real-time, and derive valuable insights from complex datasets. The platform is designed to streamline workflows, improve productivity, and empower users with actionable intelligence.

Textero AI Essay Writer
Textero is an AI-powered essay writing assistant that helps students draft, generate, and check essays for AI and plagiarism. It offers unique features like customization based on provided instructions, access to high-quality academic sources, and support for multiple languages. Textero aims to provide students with intelligent and original academic content while ensuring credibility and authenticity in their writing.

Allclues
Allclues is an AI-infused workspace designed for reading, writing, research, and productivity enhancement. It offers features like Clues AI for intuitive assistance, ClueReport for summarizing readings, and OmniMap for visualizing connections. The application aims to help users organize information, generate insights, and enhance knowledge exploration effortlessly.

Superblog
Superblog is an AI-powered blogging platform that serves as the best alternative for WordPress and Medium blogs. It is designed to provide users with a hassle-free blogging experience by automatically optimizing for SEO, speed, and design. With features like AI Helper, auto image optimization, and real-time hints for content creation, Superblog aims to streamline the blogging process and enhance user experience. Trusted by unicorns and YC companies, Superblog offers a user-friendly interface, privacy-friendly analytics, and seamless integration with existing websites or apps.

Junia AI
Junia AI is a leading AI writer tool designed for SEO and content generation. It offers a comprehensive solution for creating high-quality, SEO-optimized, and ready-to-rank content in minutes. With features like AI writer, auto-generating images, auto SEO research, and long-form content creation, Junia AI streamlines the content creation process. It stands out with its ability to drive organic traffic, improve visibility, and enhance SEO ranking. Users can easily create engaging, authentic, and SEO-friendly long-form content with Junia AI, making it a valuable tool for content creators and businesses.

Learnt.ai
Learnt.ai is an AI-powered learning platform that provides personalized learning experiences for students. It uses artificial intelligence to analyze student data and identify areas where they need additional support. Learnt.ai then creates personalized learning plans that are tailored to each student's individual needs. The platform also provides students with access to a variety of learning resources, including videos, articles, and interactive exercises.

Moot Master
A moot competition companion. & Trial Prep companion . Test and improve arguments- predict your opponent's reaction.

Long Market Research Analyst
AI for Business of Market Research Analyst (chuyΓͺn gia PhΓ’n tΓch Thα» trΖ°α»ng vα»i 33 nΔm kinh nghiα»m trong lΔ©nh vα»±c tiαΊΏp thα».)

OAI Governance Emulator
I simulate the governance of a unique company focused on AI for good

AI Business Transformer
Top AI for business automation, data analytics, content creation. Optimize efficiency, gain insights, and innovate with AI Business Transformer.

discourse-chatbot
The discourse-chatbot is an original AI chatbot for Discourse forums that allows users to converse with the bot in posts or chat channels. Users can customize the character of the bot, enable RAG mode for expert answers, search Wikipedia, news, and Google, provide market data, perform accurate math calculations, and experiment with vision support. The bot uses cutting-edge Open AI API and supports Azure and proxy server connections. It includes a quota system for access management and can be used in RAG mode or basic bot mode. The setup involves creating embeddings to make the bot aware of forum content and setting up bot access permissions based on trust levels. Users must obtain an API token from Open AI and configure group quotas to interact with the bot. The plugin is extensible to support other cloud bots and content search beyond the provided set.

AI-For-Beginners
AI-For-Beginners is a comprehensive 12-week, 24-lesson curriculum designed by experts at Microsoft to introduce beginners to the world of Artificial Intelligence (AI). The curriculum covers various topics such as Symbolic AI, Neural Networks, Computer Vision, Natural Language Processing, Genetic Algorithms, and Multi-Agent Systems. It includes hands-on lessons, quizzes, and labs using popular frameworks like TensorFlow and PyTorch. The focus is on providing a foundational understanding of AI concepts and principles, making it an ideal starting point for individuals interested in AI.

AI_for_Science_paper_collection
AI for Science paper collection is an initiative by AI for Science Community to collect and categorize papers in AI for Science areas by subjects, years, venues, and keywords. The repository contains `.csv` files with paper lists labeled by keys such as `Title`, `Conference`, `Type`, `Application`, `MLTech`, `OpenReviewLink`. It covers top conferences like ICML, NeurIPS, and ICLR. Volunteers can contribute by updating existing `.csv` files or adding new ones for uncovered conferences/years. The initiative aims to track the increasing trend of AI for Science papers and analyze trends in different applications.

generative-ai-for-beginners
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 (π) this repo to find it easier later. ## π§ 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**. ## π£οΈ Meet Other Learners, Get Support Join our official AI Discord server to meet and network with other learners taking this course and get support. ## π 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**. ## π Want to help? Do you have suggestions or found spelling or code errors? Raise an issue or Create a pull request ## π 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 ## ποΈ 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 |

awesome_ai_for_programmers
Π Π΅ΠΏΠΎΠ·ΠΈΡΠΎΡΠΈΠΉ ΡΠΎΠ΄Π΅ΡΠΆΠΈΡ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΡ ΠΎ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠΈ ΠΈΡΠΊΡΡΡΡΠ²Π΅Π½Π½ΠΎΠ³ΠΎ ΠΈΠ½ΡΠ΅Π»Π»Π΅ΠΊΡΠ° Π² ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠ΅ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠ½ΠΎΠ³ΠΎ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½ΠΈΡ. Π ΡΠ°ΡΡΠ½ΠΎΡΡΠΈ, ΡΠ°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°ΡΡΡΡ ΠΊΠ΅ΠΉΡΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ ChatGPT ΠΈ Π΄ΡΡΠ³ΠΈΡ ΡΠ·ΡΠΊΠΎΠ²ΡΡ ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ Π΄Π»Ρ Π°Π²ΡΠΎΠΌΠ°ΡΠΈΠ·Π°ΡΠΈΠΈ Π·Π°Π΄Π°Ρ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠΈ, ΡΠ°ΠΊΠΈΡ ΠΊΠ°ΠΊ Π½Π°ΠΏΠΈΡΠ°Π½ΠΈΠ΅ ΠΊΠΎΠ΄Π°, ΡΠ΅ΡΡΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅, ΡΠ΅ΡΠ°ΠΊΡΠΎΡΠΈΠ½Π³ ΠΈ Π³Π΅Π½Π΅ΡΠ°ΡΠΈΡ Π΄ΠΎΠΊΡΠΌΠ΅Π½ΡΠ°ΡΠΈΠΈ.

Equivariant-Encryption-for-AI
At Nesa, privacy is a critical objective. Equivariant Encryption (EE) is a solution developed to perform inference on neural networks without exposing input and output data. EE integrates specialized transformations for neural networks, maintaining data privacy while ensuring inference operates correctly on encrypted inputs. It provides the same latency as plaintext inference with no slowdowns and offers strong security guarantees. EE avoids the computational costs of traditional Homomorphic Encryption (HE) by preserving non-linear neural functions. The tool is designed for modern neural architectures, ensuring accuracy, scalability, and compatibility with existing pipelines.

moon-dev-ai-agents-for-trading
Moon Dev AI Agents for Trading is an experimental project exploring the potential of artificial financial intelligence for trading and investing research. The project aims to develop AI agents to complement and potentially replace human trading operations by addressing common trading challenges such as emotional reactions, ego-driven decisions, inconsistent execution, fatigue effects, impatience, and fear & greed cycles. The project focuses on research areas like risk control, exit timing, entry strategies, sentiment collection, and strategy execution. It is important to note that this project is not a profitable trading solution and involves substantial risk of loss.

Generative-AI-for-beginners-dotnet
Generative AI for Beginners .NET is a hands-on course designed for .NET developers to learn how to build Generative AI applications. The repository focuses on real-world applications and live coding, providing fully functional code samples and integration with tools like GitHub Codespaces and GitHub Models. Lessons cover topics such as generative models, text generation, multimodal capabilities, and responsible use of Generative AI in .NET apps. The course aims to simplify the journey of implementing Generative AI into .NET projects, offering practical guidance and references for deeper theoretical understanding.

ai-agents-for-beginners
AI Agents for Beginners is a course that covers the fundamentals of building AI Agents. It consists of 10 lessons with code examples using Azure AI Foundry and GitHub Model Catalogs. The course utilizes AI Agent frameworks and services from Microsoft, such as Azure AI Agent Service, Semantic Kernel, and AutoGen. Learners can access written lessons, Python code samples, and additional learning resources for each lesson. The course encourages contributions and suggestions from the community and provides multi-language support for learners worldwide.

Generative-AI-for-beginners-java
Generative AI for Beginners - Java Edition is a comprehensive workshop that introduces users to the core concepts of generative AI, Java AI ecosystem, model context protocol, and practical applications. The course covers topics such as prompt engineering, embeddings & vector operations, retrieval-augmented generation, and responsible AI development. Users can explore real-world scenarios like chatbots, content generation, and ethical AI development. The workshop provides a hands-on learning experience with multi-language support and development environment setup guidance.

modern_ai_for_beginners
This repository provides a comprehensive guide to modern AI for beginners, covering both theoretical foundations and practical implementation. It emphasizes the importance of understanding both the mathematical principles and the code implementation of AI models. The repository includes resources on PyTorch, deep learning fundamentals, mathematical foundations, transformer-based LLMs, diffusion models, software engineering, and full-stack development. It also features tutorials on natural language processing with transformers, reinforcement learning, and practical deep learning for coders.

ai-notes
Notes on AI state of the art, with a focus on generative and large language models. These are the "raw materials" for the https://lspace.swyx.io/ newsletter. This repo used to be called https://github.com/sw-yx/prompt-eng, but was renamed because Prompt Engineering is Overhyped. This is now an AI Engineering notes repo.

stability-sdk
The stability-sdk is a Python package that provides a client implementation for interacting with the Stability API. This API allows users to generate images, upscale images, and animate images using a variety of different models and settings. The stability-sdk makes it easy to use the Stability API from Python code, and it provides a number of helpful features such as command line usage, support for multiple models, and the ability to filter artifacts by type.

2025-AI-College-Jobs
2025-AI-College-Jobs is a repository containing a comprehensive list of AI/ML & Data Science jobs suitable for college students seeking internships or new graduate positions. The repository is regularly updated with positions posted within the last 120 days, featuring opportunities from various companies in the USA and internationally. The list includes positions in areas such as research scientist internships, quantitative research analyst roles, and other data science-related positions. The repository aims to provide a valuable resource for students looking to kickstart their careers in the field of artificial intelligence and machine learning.

ai-assisted-devops
AI-Assisted DevOps is a 10-day course focusing on integrating artificial intelligence (AI) technologies into DevOps practices. The course covers various topics such as AI for observability, incident response, CI/CD pipeline optimization, security, and FinOps. Participants will learn about running large language models (LLMs) locally, making API calls, AI-powered shell scripting, and using AI agents for self-healing infrastructure. Hands-on activities include creating GitHub repositories with bash scripts, generating Docker manifests, predicting server failures using AI, and building AI agents to monitor deployments. The course culminates in a capstone project where learners implement AI-assisted DevOps automation and receive peer feedback on their projects.

mcp-for-beginners
The Model Context Protocol (MCP) Curriculum for Beginners is an open-source framework designed to standardize interactions between AI models and client applications. It offers a structured learning path with practical coding examples and real-world use cases in popular programming languages like C#, Java, JavaScript, Rust, Python, and TypeScript. Whether you're an AI developer, system architect, or software engineer, this guide provides comprehensive resources for mastering MCP fundamentals and implementation strategies.

coding-with-ai
Coding-with-ai is a curated collection of techniques and best practices for utilizing AI coding tools to achieve transformative results in coding projects. It bridges the gap between AI coding demos and daily coding reality by providing insights into specific patterns like memory files, test-driven regeneration, and parallel AI sessions. The repository offers guidance on setting up memory files, writing detailed specs, drafting solutions before using assistants, getting multiple options, choosing stable libraries, and triggering careful planning. It also covers UI prototyping, coding practices, debugging strategies, testing methodologies, and cross-stage techniques for efficient coding with AI tools.

genai-for-marketing
This repository provides a deployment guide for utilizing Google Cloud's Generative AI tools in marketing scenarios. It includes step-by-step instructions, examples of crafting marketing materials, and supplementary Jupyter notebooks. The demos cover marketing insights, audience analysis, trendspotting, content search, content generation, and workspace integration. Users can access and visualize marketing data, analyze trends, improve search experience, and generate compelling content. The repository structure includes backend APIs, frontend code, sample notebooks, templates, and installation scripts.

reComputer-Jetson-for-Beginners
The reComputer Jetson Orin Beginner Guide is a comprehensive resource designed to help developers explore and harness the powerful AI computing capabilities of the NVIDIA Jetson Orin platform. The guide covers a wide range of topics, from basic tools and getting started to advanced applications in computer vision, generative AI, robotics, and more. With step-by-step tutorials and hands-on projects, users can learn to master NVIDIA's core technologies and popular AI frameworks, enabling them to innovate in AI and robotics. The guide is suitable for beginners looking to dive into AI development and build cutting-edge projects with Jetson Orin.
Moot
Moot is an innovative application that allows users to share their thoughts and opinions on any website or link without limitations. It provides a platform for open discussion and interaction, enabling users to engage with content across the web freely and express their views in a community-driven environment. Moot's cutting-edge features are designed to enhance the browsing experience and facilitate meaningful interactions, making it an essential tool for anyone looking to engage with online content in a more dynamic and engaging way.