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Animalia AI is an AI-powered chat simulator that allows users to chat with animals, learn about endangered species, and support conservation efforts. The platform offers an engaging learning experience by providing information about various animals and their habitats. Users can explore the wonders of the animal kingdom, interact with virtual animals, and contribute to the protection of endangered species through donations. With over 50 animals available to chat and new ones added weekly, Animalia AI aims to raise awareness about wildlife conservation and promote empathy towards animals.

Siwalu is an AI-based image recognition tool that specializes in identifying animals. The website offers apps that provide specific information about the characteristics and traits of pets, helping pet owners determine the breed of their pets quickly and accurately. By using advanced AI technology, Siwalu aims to increase knowledge about global biodiversity by focusing on animal recognition for dogs, cats, and horses. The apps have garnered millions of downloads and are praised for their accuracy and user-friendly interface.

Ask Seneca is a platform designed to help users learn about Stoicism, a philosophy that emphasizes self-control, resilience, and virtue. The website provides information and insights on Stoicism through the lens of the famous Stoic philosopher Seneca. Users can ask questions related to Stoicism and receive answers to deepen their understanding of this ancient philosophy. The platform is created with a user-friendly interface and aims to make Stoic teachings accessible to a wider audience.

Google Drive is a cloud-based storage and file-sharing service that allows users to store, share, and collaborate on files from any device. It is part of the Google Workspace suite of productivity tools, which also includes Gmail, Docs, Sheets, and Slides. Drive is designed to be easy to use and secure, and it offers a variety of features that make it a valuable tool for businesses and individuals alike.

Amazon Science is a research and development organization within Amazon that focuses on developing new technologies and products in the fields of artificial intelligence, machine learning, and computer science. The organization is home to a team of world-renowned scientists and engineers who are working on a wide range of projects, including developing new algorithms for machine learning, building new computer vision systems, and creating new natural language processing tools. Amazon Science is also responsible for developing new products and services that use these technologies, such as the Amazon Echo and the Amazon Fire TV.

Tutor AI is an advanced AI tool designed to serve as your personal tutor, helping you learn anything you desire. It offers a unique and personalized learning experience by creating custom learning pathways tailored to your needs. Whether you are a student looking to excel in school, a professional aiming to enhance your skills for work, or an individual seeking personal growth, Tutor AI is here to support you on your learning journey.

People's Project.com - The latest news from the world of technology, science, and culture. We are a team of journalists, engineers, and designers who are passionate about bringing you the latest news and insights on the technologies that are shaping our world. We believe that technology has the power to make the world a better place, and we are committed to providing you with the information you need to make informed decisions about how you use it. In addition to our news coverage, we also offer a variety of resources to help you learn more about technology. These resources include: * **Tutorials:** Step-by-step guides to help you learn how to use new technologies. * **Reviews:** In-depth reviews of the latest gadgets and software. * **Interviews:** Interviews with leading experts in the field of technology. * **Podcasts:** Weekly podcasts that cover the latest news and trends in technology. We hope you find our website helpful and informative. Please feel free to contact us if you have any questions or suggestions.

Collab is a contact center software that enables digital transformation and helps achieve the right balance between Automation and Human Interaction. It provides enhanced experiences, resolves customer issues quickly and easily, fosters strong and trusty relationships, turns data into powerful insights, and empowers agents. Collab relies on its omnichannel solution, AI, CRM integration, data-driven insights, and empowered teams to provide seamless experiences.

Covera Health is a clinical intelligence platform that supports the end-to-end delivery of clinical-grade, AI-powered quality insights for providers and insurers. The platform is seamlessly integrated across the healthcare ecosystem to elevate everything from diagnosis and care coordination to prior authorization and claims administration. Covera Health is certified by AHRQ as a Patient Safety Organization to safeguard access to provider and patient data.

Elements of AI is a free online educational platform that offers courses on artificial intelligence for non-experts. Created by MinnaLearn and the University of Helsinki, the platform aims to demystify AI by providing theory, practical exercises, and a comprehensive understanding of AI concepts. With over 1 million students from 170 countries, the courses cover topics like Introduction to AI and Building AI, encouraging a broad audience to learn about AI's impact on society and how to create AI methods.

Chatbots Life is a platform dedicated to providing comprehensive resources and insights on chatbots, AI, and natural language understanding (NLU). The website offers a wide range of content, including articles, workshops, and events, to help individuals learn and stay updated on the latest trends and technologies in the field of conversational AI.

Kidgeni is an AI tool designed for kids to unleash their creativity by turning inspirations into art, stories, and more. It offers a platform where children can create unique images, transform their drawings into art pieces, craft stories, and write personalized books. With Kidgeni, kids can explore unlimited creativity through various features and plans that cater to their artistic needs.

Appzoon.AI is an AI tool that serves as a hub for exploring and utilizing a wide range of AI tools and applications. With over 600 AI tools and applications available, Appzoon.AI caters to various needs and interests. Users can find tools related to Generative AI, Optimization AI, Email Marketing AI, and Business AI, among others. The platform also features top-rated AI applications and provides resources and guides to enhance language learning and improve various aspects of businesses.

Observer is a news and media website that covers a wide range of topics, including business, finance, technology, media, lifestyle, arts, entertainment, and power lists. The website features articles, reviews, interviews, and videos from a team of experienced journalists and critics.

Glencoco is a tech-enabled sales marketplace that empowers businesses to become fractional sales representatives. The platform offers AI-enabled SDRs on a pay-for-performance basis, helping businesses grow their pipeline by finding the right prospects and maximizing ROI. Glencoco provides insights on prospect responses, integrates dialing and email solutions, and allows users to set up campaigns, select sales development reps, and optimize results. The platform combines human contractors with AI workflows to deliver successful outbound sales motions effortlessly.

The Medical Futurist is a digital health and AI-focused media platform that provides insights, research, and educational resources to healthcare professionals and industry leaders. It covers topics such as artificial intelligence in medicine, the future of pharma, and emerging trends in digital health. The platform also offers keynote speeches, courses, and e-books on these topics.

ChatVerse is an AI-powered chatbot app that allows users to chat, learn, and play with virtual characters. It offers a wide range of characters with different personalities and interests, and users can interact with them through text or voice chat. ChatVerse also includes educational features, such as quizzes and trivia games, and users can earn rewards for completing tasks and interacting with the characters.

The Keyword is a blog by Google that covers the latest news and stories about Google products and technology. The blog is written by Google employees and covers a wide range of topics, including product updates, company news, and technology trends. The Keyword is a great resource for anyone who wants to stay up-to-date on the latest from Google.

Google.org is a philanthropic organization that aims to bring the best of Google to help solve humanity's biggest challenges. They combine funding, innovation, and technical expertise to support underserved communities and provide opportunities for everyone. The organization focuses on using AI to address various issues, such as increasing college graduation rates, supporting robotics programs for middle schoolers, and funding projects that align with the UN's Sustainable Development Goals. Google.org is committed to making long-term investments in social impact initiatives, including racial justice and COVID-19 relief efforts. They collaborate with innovative nonprofits and social enterprises to amplify their impact using Google's resources.

The AI+X Summit is the largest event focusing on AI research, development, and application in the German-speaking part of Switzerland. The event covers various tracks and workshops on topics such as AI in finance, urban mobility, human-centered design, generative AI, responsible AI, AI for science, and more. It aims to bring together industry professionals, startups, academia, and a wider ecosystem to explore the latest advancements in artificial intelligence and its applications across different sectors.

The Enterprise Azure OpenAI Hub is a comprehensive repository designed to guide users through the world of Generative AI on the Azure platform. It offers a structured learning experience to accelerate the transition from concept to production in an Enterprise context. The hub empowers users to explore various use cases with Azure services, ensuring security and compliance. It provides real-world examples and playbooks for practical insights into solving complex problems and developing cutting-edge AI solutions. The repository also serves as a library of proven patterns, aligning with industry standards and promoting best practices for secure and compliant AI development.

Contoso Chat is a Python sample demonstrating how to build, evaluate, and deploy a retail copilot application with Azure AI Studio using Promptflow with Prompty assets. The sample implements a Retrieval Augmented Generation approach to answer customer queries based on the company's product catalog and customer purchase history. It utilizes Azure AI Search, Azure Cosmos DB, Azure OpenAI, text-embeddings-ada-002, and GPT models for vectorizing user queries, AI-assisted evaluation, and generating chat responses. By exploring this sample, users can learn to build a retail copilot application, define prompts using Prompty, design, run & evaluate a copilot using Promptflow, provision and deploy the solution to Azure using the Azure Developer CLI, and understand Responsible AI practices for evaluation and content safety.

The LLM course is divided into three parts: 1. 🧩 **LLM Fundamentals** covers essential knowledge about mathematics, Python, and neural networks. 2. 🧑‍🔬 **The LLM Scientist** focuses on building the best possible LLMs using the latest techniques. 3. 👷 **The LLM Engineer** focuses on creating LLM-based applications and deploying them. For an interactive version of this course, I created two **LLM assistants** that will answer questions and test your knowledge in a personalized way: * 🤗 **HuggingChat Assistant**: Free version using Mixtral-8x7B. * 🤖 **ChatGPT Assistant**: Requires a premium account. ## 📝 Notebooks A list of notebooks and articles related to large language models. ### Tools | Notebook | Description | Notebook | |----------|-------------|----------| | 🧐 LLM AutoEval | Automatically evaluate your LLMs using RunPod |  | | 🥱 LazyMergekit | Easily merge models using MergeKit in one click. |  | | 🦎 LazyAxolotl | Fine-tune models in the cloud using Axolotl in one click. |  | | ⚡ AutoQuant | Quantize LLMs in GGUF, GPTQ, EXL2, AWQ, and HQQ formats in one click. |  | | 🌳 Model Family Tree | Visualize the family tree of merged models. |  | | 🚀 ZeroSpace | Automatically create a Gradio chat interface using a free ZeroGPU. |  |

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.

LLM-PowerHouse is a comprehensive and curated guide designed to empower developers, researchers, and enthusiasts to harness the true capabilities of Large Language Models (LLMs) and build intelligent applications that push the boundaries of natural language understanding. This GitHub repository provides in-depth articles, codebase mastery, LLM PlayLab, and resources for cost analysis and network visualization. It covers various aspects of LLMs, including NLP, models, training, evaluation metrics, open LLMs, and more. The repository also includes a collection of code examples and tutorials to help users build and deploy LLM-based applications.

Learn Cloud Applied Generative AI Engineering (GenEng) is a course focusing on the application of generative AI technologies in various industries. The course covers topics such as the economic impact of generative AI, the role of developers in adopting and integrating generative AI technologies, and the future trends in generative AI. Students will learn about tools like OpenAI API, LangChain, and Pinecone, and how to build and deploy Large Language Models (LLMs) for different applications. The course also explores the convergence of generative AI with Web 3.0 and its potential implications for decentralized intelligence.

This sample demonstrates a few approaches for creating ChatGPT-like experiences over your own data using the Retrieval Augmented Generation pattern. It uses Azure OpenAI Service to access a GPT model (gpt-35-turbo), and Azure AI Search for data indexing and retrieval. The repo includes sample data so it's ready to try end to end. In this sample application we use a fictitious company called Contoso Electronics, and the experience allows its employees to ask questions about the benefits, internal policies, as well as job descriptions and roles.

Supercharge WordPress Content Workflows and Engagement with Artificial Intelligence. Tap into leading cloud-based services like OpenAI, Microsoft Azure AI, Google Gemini and IBM Watson to augment your WordPress-powered websites. Publish content faster while improving SEO performance and increasing audience engagement. ClassifAI integrates Artificial Intelligence and Machine Learning technologies to lighten your workload and eliminate tedious tasks, giving you more time to create original content that matters.

This sample shows how to build a serverless chat experience with Retrieval-Augmented Generation using LangChain.js and Azure. The application is hosted on Azure Static Web Apps and Azure Functions, with Azure Cosmos DB for MongoDB vCore as the vector database. You can use it as a starting point for building more complex AI applications.

Azure OpenAI Service is a central capability with Azure API Management, providing guidance and tools for organizations to implement Azure OpenAI in a production environment with an emphasis on cost control, secure access, and usage monitoring. It includes infrastructure-as-code templates, CI/CD pipelines, secure access management, usage monitoring, load balancing, streaming requests, and end-to-end samples like ChatApp and Azure Dashboards.

Kernel Memory (KM) is a multi-modal AI Service specialized in the efficient indexing of datasets through custom continuous data hybrid pipelines, with support for Retrieval Augmented Generation (RAG), synthetic memory, prompt engineering, and custom semantic memory processing. KM is available as a Web Service, as a Docker container, a Plugin for ChatGPT/Copilot/Semantic Kernel, and as a .NET library for embedded applications. Utilizing advanced embeddings and LLMs, the system enables Natural Language querying for obtaining answers from the indexed data, complete with citations and links to the original sources. Designed for seamless integration as a Plugin with Semantic Kernel, Microsoft Copilot and ChatGPT, Kernel Memory enhances data-driven features in applications built for most popular AI platforms.

The 'llms-tools' repository is a comprehensive collection of AI tools, open-source projects, and research related to Large Language Models (LLMs) and Chatbots. It covers a wide range of topics such as AI in various domains, open-source models, chats & assistants, visual language models, evaluation tools, libraries, devices, income models, text-to-image, computer vision, audio & speech, code & math, games, robotics, typography, bio & med, military, climate, finance, and presentation. The repository provides valuable resources for researchers, developers, and enthusiasts interested in exploring the capabilities of LLMs and related technologies.

The Lakera PINT Benchmark provides a neutral evaluation method for prompt injection detection systems, offering a dataset of English inputs with prompt injections, jailbreaks, benign inputs, user-agent chats, and public document excerpts. The dataset is designed to be challenging and representative, with plans for future enhancements. The benchmark aims to be unbiased and accurate, welcoming contributions to improve prompt injection detection. Users can evaluate prompt injection detection systems using the provided Jupyter Notebook. The dataset structure is specified in YAML format, allowing users to prepare their datasets for benchmarking. Evaluation examples and resources are provided to assist users in evaluating prompt injection detection models and tools.

AI Samples for .NET is a repository containing various samples demonstrating how to use AI in .NET applications. It provides quickstarts using Semantic Kernel and Azure OpenAI SDK, covers LLM Core Concepts, End to End Examples, Local Models, Local Embedding Models, Tokenizers, Vector Databases, and Reference Examples. The repository showcases different AI-related projects and tools for developers to explore and learn from.

The AI-Gateway repository explores the AI Gateway pattern through a series of experimental labs, focusing on Azure API Management for handling AI services APIs. The labs provide step-by-step instructions using Jupyter notebooks with Python scripts, Bicep files, and APIM policies. The goal is to accelerate experimentation of advanced use cases and pave the way for further innovation in the rapidly evolving field of AI. The repository also includes a Mock Server to mimic the behavior of the OpenAI API for testing and development purposes.

Call Center AI is an AI-powered call center solution that leverages Azure and OpenAI GPT. It is a proof of concept demonstrating the integration of Azure Communication Services, Azure Cognitive Services, and Azure OpenAI to build an automated call center solution. The project showcases features like accessing claims on a public website, customer conversation history, language change during conversation, bot interaction via phone number, multiple voice tones, lexicon understanding, todo list creation, customizable prompts, content filtering, GPT-4 Turbo for customer requests, specific data schema for claims, documentation database access, SMS report sending, conversation resumption, and more. The system architecture includes components like RAG AI Search, SMS gateway, call gateway, moderation, Cosmos DB, event broker, GPT-4 Turbo, Redis cache, translation service, and more. The tool can be deployed remotely using GitHub Actions and locally with prerequisites like Azure environment setup, configuration file creation, and resource hosting. Advanced usage includes custom training data with AI Search, prompt customization, language customization, moderation level customization, claim data schema customization, OpenAI compatible model usage for the LLM, and Twilio integration for SMS.

This solution accelerator is built on Azure Cognitive Search Service and Azure OpenAI Service to synthesize post-contact center transcripts for intelligent contact center scenarios. It converts raw transcripts into customer call summaries to extract insights around product and service performance. Key features include conversation summarization, key phrase extraction, speech-to-text transcription, sensitive information extraction, sentiment analysis, and opinion mining. The tool enables data professionals to quickly analyze call logs for improvement in contact center operations.

Call Center AI is an AI-powered call center solution leveraging Azure and OpenAI GPT. It allows for AI agent-initiated phone calls or direct calls to the bot from a configured phone number. The bot is customizable for various industries like insurance, IT support, and customer service, with features such as accessing claim information, conversation history, language change, SMS sending, and more. The project is a proof of concept showcasing the integration of Azure Communication Services, Azure Cognitive Services, and Azure OpenAI for an automated call center solution.

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