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MegaMatcher ABIS Online is an automated biometric identification system developed by Neurotechnology. It offers a turnkey multi-biometric solution for government and enterprise applications worldwide. The system includes features such as enrollment, biometric matching, identity management, data analysis, and deployment options for cloud services or on-premise solutions. With support for fingerprint, face, iris, and palmprint biometric modalities, the system ensures high accuracy, reliability, and unlimited storage of biometric and demographic information. It also provides easy integration through RESTful API and SDK libraries, along with security features like role-based access control and auditability.

Young Urban Project is an AI-powered online learning platform that offers practical upskilling courses for individuals looking to advance their careers in marketing and product management. The platform provides expert-led live cohort programs, on-demand specialization courses, and workshops to help learners acquire in-demand skills from industry experts. With a focus on practical learning and accountability, Young Urban Project aims to deliver hands-on assignments and measurable outcomes to ensure industry readiness. The platform also offers AI-powered courses such as SEO Mastery, Facebook & Instagram Ads, and Direct-Response Copywriting with AI, catering to a wide range of learners. With a diverse team of mentors and a user-friendly interface, Young Urban Project provides a comprehensive learning experience for professionals seeking career growth.

LearnSmarter.ai is a comprehensive AI-powered platform designed to enhance personal development and goal achievement. It offers a wide range of tools, resources, and personalized guidance to help users improve their mindset, cognitive skills, and decision-making abilities. With LearnSmarter.ai, individuals can access AI-powered learning tools, interact with AI characters representing industry leaders and personal coaches, and enroll in fast-track courses to accelerate their growth journey. The platform emphasizes efficient learning, practical application, and personalized support to empower users in setting clear goals, making informed decisions, solving complex problems, and taking effective actions towards their desired outcomes.

The Princeton Review is an AI-based test preparation and tutoring platform offering personalized academic support, test prep courses, and college admissions counseling. With over 43 years of industry experience and a track record of helping millions of students, The Princeton Review uses sophisticated AI technology to provide students with tailored learning experiences, expert-led videos, interactive reports, and feedback tools for essays and homework. The platform covers a wide range of subjects and exams, from K-12 academics to graduate and professional tests like SAT, ACT, MCAT, LSAT, GRE, GMAT, and more. Additionally, it offers services for college admissions counseling, school partnerships, and international licensing.

SkillBloomer is an AI-powered learning and automation platform for businesses based in Sector 76, Noida, India. The platform empowers trainers, educators, and experts to effortlessly share their knowledge through online courses, workshops, and consulting services. SkillBloomer aims to bridge the gap between expertise and learning by providing tools and support to create, launch, and sell high-quality education. The platform offers a wide range of courses in development, business, IT & software, productivity, design, marketing, data & analytics, finance, and generative AI.

AirDroid is an AI-powered device management solution that offers both business and personal services. It provides features such as remote support, file transfer, application management, and AI-powered insights. The application aims to streamline IT resources, reduce costs, and increase efficiency for businesses, while also offering personal management solutions for private mobile devices. AirDroid is designed to empower businesses with intelligent AI assistance and enhance user experience through seamless multi-screen interactions.

PSLM is an AI-powered website that offers School Leadership Courses, Internship, Placement, Job opportunities, Educational Management resources, National Internship Portal, Free Internship listings, Educational Blogs, and information on Government Schemes. The platform aims to provide a comprehensive educational and career-oriented experience for users interested in the field of education and leadership.

NeoPrompts is an AI-powered prompt optimization tool designed to help businesses enhance their efficiency by providing tailored prompts for various industries. With a vast library of 25,000 optimized prompts, NeoPrompts ensures clear and precise instructions to achieve accurate results in AI applications. The tool reduces ambiguity, enhances clarity, and offers prompt customization for image and video generation. NeoPrompts aims to be the best copilot for ChatGPT users, offering prompt refinement and boosting productivity by up to 35%. Users can access free trials and advanced features to optimize prompts, chat with ChatGPT-4o, and enroll in courses for enhanced AI capabilities.

Learn Prompting is a platform offering free resources, courses, and webinars to master prompt engineering and generative AI. It provides a Prompt Engineering Guide, courses on Generative AI, workshops, and the HackAPrompt competition. The platform also offers AI Red Teaming and AI Safety courses, research reports on prompting techniques, and welcomes contributions in various forms such as content suggestions, translations, artwork, and typo fixes. Users can locally develop the website using Visual Studio Code, Git, and Node.js, and run it in development mode to preview changes.

This repository is a curated collection of resources for fine-tuning Large Language Models (LLMs) like GPT, BERT, RoBERTa, and their variants. It includes tutorials, papers, tools, frameworks, and best practices to aid researchers, data scientists, and machine learning practitioners in adapting pre-trained models to specific tasks and domains. The resources cover a wide range of topics related to fine-tuning LLMs, providing valuable insights and guidelines to streamline the process and enhance model performance.

The LLM RAG Workshop repository provides a workshop on using Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to generate and understand text in a human-like manner. It includes instructions on setting up the environment, indexing Zoomcamp FAQ documents, creating a Q&A system, and using OpenAI for generation based on retrieved information. The repository focuses on enhancing language model responses with retrieved information from external sources, such as document databases or search engines, to improve factual accuracy and relevance of generated text.

This project provides a comprehensive guide to fine-tuning large language models (LLMs) with efficient methods like LoRA and P-tuning V2. It includes detailed instructions, code examples, and performance benchmarks for various LLMs and fine-tuning techniques. The guide also covers data preparation, evaluation, prediction, and running inference on CPU environments. By leveraging this guide, users can effectively fine-tune LLMs for specific tasks and applications.

Amazon SageMaker Course is a comprehensive guide for AWS Certified Machine Learning Specialty (MLS-C01) that covers training, optimizing, deploying, and integrating machine learning models in the AWS cloud. The course includes hands-on experience with AWS built-in algorithms, Bring Your Own models, and ready-to-use AI capabilities. It also provides a complete guide to AWS Certified Machine Learning – Specialty certification, along with a high-quality timed practice test. Participants will learn how to integrate trained models into their applications and receive prompt support through the course Q&A forum and private messaging.

This repository contains custom Evilginx phishlets that are meticulously crafted and updated for real-world applications. It also offers an advanced course, EvilGoPhish Mastery, focusing on phishing and smishing techniques using EvilGoPhish 3.0. The course complements the repository by providing in-depth guidance on deploying these scripts for red team phishing and smishing campaigns.

The LLM Twin Course is a free, end-to-end framework for building production-ready LLM systems. It teaches you how to design, train, and deploy a production-ready LLM twin of yourself powered by LLMs, vector DBs, and LLMOps good practices. The course is split into 11 hands-on written lessons and the open-source code you can access on GitHub. You can read everything and try out the code at your own pace.

Simple-OpenAI is a Java library that provides a simple way to interact with the OpenAI API. It offers consistent interfaces for various OpenAI services like Audio, Chat Completion, Image Generation, and more. The library uses CleverClient for HTTP communication, Jackson for JSON parsing, and Lombok to reduce boilerplate code. It supports asynchronous requests and provides methods for synchronous calls as well. Users can easily create objects to communicate with the OpenAI API and perform tasks like text-to-speech, transcription, image generation, and chat completions.

A curated list of 50+ resources to help you become a Generative AI Data Scientist. This repository includes resources on building GenAI applications with Large Language Models (LLMs), and deploying LLMs and GenAI with Cloud-based solutions.

This open-source course teaches how to build an advanced RAG and LLM system using LLMOps and ML systems best practices. It helps you create an AI assistant that leverages your personal knowledge base to answer questions, summarize documents, and provide insights. The course covers topics such as LLM system architecture, pipeline orchestration, large-scale web crawling, model fine-tuning, and advanced RAG features. It is suitable for ML/AI engineers and data/software engineers & data scientists looking to level up to production AI systems. The course is free, with minimal costs for tools like OpenAI's API and Hugging Face's Dedicated Endpoints. Participants will build two separate Python applications for offline ML pipelines and online inference pipeline.

This repository provides resources for building a chatbot backed by Neo4j using Python. It includes instructions on running the application, setting up tests, and installing necessary libraries. The chatbot is designed to interact with users and provide recommendations based on data stored in a Neo4j database. The repository is part of the Neo4j GraphAcademy course on building chatbots with Python.

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