AI tools for generative AI
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Generative AI in the Newsroom
The Generative AI in the Newsroom project is an effort to collaboratively figure out how and when (or when not) to use generative AI in news production. It includes articles, research, and case studies on the use of generative AI in journalism.
Gaspar AI
Gaspar AI is an AI application that offers AI support capabilities for businesses, enabling automation of tasks, workflows, and knowledge management. It provides a seamless employee experience by integrating Generative AI Virtual Agent across platforms like Slack, MS Teams, and Jira. Gaspar AI aims to reduce manual work, automate repetitive tasks, and accelerate approvals, ultimately enhancing productivity and efficiency within companies.
Human Circles AI
Human Circles AI is a generative AI tool designed to enhance the quality and relevance of your social and professional circles. By leveraging advanced AI algorithms, the platform helps users in networking, engagement, fundraising, career guidance, hiring, business development, alumni networking, and strategic partnerships. With a focus on precision networking and smarter engagement, Human Circles AI aims to facilitate meaningful connections and interactions across various categories. Trusted by leading AI experts and industry veterans, the tool offers a Chrome extension for seamless integration and personalized networking experiences.
FriendliAI
FriendliAI is a generative AI infrastructure company that offers efficient, fast, and reliable generative AI inference solutions for production. Their cutting-edge technologies enable groundbreaking performance improvements, cost savings, and lower latency. FriendliAI provides a platform for building and serving compound AI systems, deploying custom models effortlessly, and monitoring and debugging model performance. The application guarantees consistent results regardless of the model used and offers seamless data integration for real-time knowledge enhancement. With a focus on security, scalability, and performance optimization, FriendliAI empowers businesses to scale with ease.
Novo AI
Novo AI is an AI application that empowers financial institutions by leveraging Generative AI and Large Language Models to streamline operations, maximize insights, and automate processes like claims processing and customer support traditionally handled by humans. The application helps insurance companies understand claim documents, automate claims processing, optimize pricing strategies, and improve customer satisfaction. For banks, Novo AI automates document processing across multiple languages and simplifies adverse media screenings through efficient research on live internet data.
Omnifact
Omnifact is a privacy-first generative AI platform designed for businesses. It offers secure, enterprise-grade AI solutions to boost productivity, streamline knowledge management, and drive innovation while prioritizing data security and privacy. The platform allows users to access generative AI while maintaining control over their data, making it a valuable tool for workplace environments.
AutoRFP.ai
AutoRFP.ai is an AI-powered RFP (Request for Proposal) software designed to streamline and optimize the response process for businesses. By leveraging generative AI technology, the platform helps users automate repetitive tasks, improve response quality, and manage the entire RFP process efficiently. Trusted by winners in over 30 countries, AutoRFP.ai offers real-time collaboration, security compliance, and global privacy standards.
Stability AI
Stability AI is an AI application that offers a suite of models for various modalities such as image, video, audio, 3D, and language. It provides cutting-edge generative AI technology with a focus on stability and quality. Users can access advanced AI models for tasks like text-to-image generation, video modeling, audio generation, and more. The application also offers licensing options for commercial use and self-hosting benefits.
Gleen AI
Gleen AI is a highly accurate and capable generative AI platform designed for customer success. It leverages AI/ML systems like GPT-4 to provide accurate and relevant responses to customer queries. The platform can perform automatic actions, unify fragmented knowledge from various sources, and is used by over 250 companies to enhance customer interactions and support. Gleen AI is suitable for multiple functions across different industries, offering a seamless integration with various customer service and communication channels.
Dify.AI
Dify.AI is a generative AI application development platform that allows users to create AI agents, chatbots, and other AI-powered applications. It provides a variety of tools and services to help developers build, deploy, and manage their AI applications. Dify.AI is designed to be easy to use, even for those with no prior experience in AI development.
SalesMind AI
SalesMind AI is a generative AI sales tool that helps businesses with LinkedIn prospecting, lead generation, and sales automation. It offers features such as automated LinkedIn outreach, personalized sales strategies, prospect analysis, and conversational AI. SalesMind AI aims to help businesses increase lead generation, enhance team collaboration, increase conversion rates, and simplify workflow.
ExtendImageAI
ExtendImageAI is an AI-powered tool that allows you to extend your images using generative AI models like Dalle, Stable Diffusion, and Midjourney. With ExtendImageAI, you can create variations of your images while preserving the depth and context. This tool is perfect for designers, artists, and anyone who wants to explore the possibilities of generative AI.
WarpSound
WarpSound is an AI music platform that uses cutting-edge generative AI technologies to create new forms of limitless music play and creativity. Its industry-leading music platform was developed in collaboration with Grammy-winning artists and uses a proprietary training dataset to produce original music in real time. It powers interactive music experiences and content for streaming, gaming, and more.
Metaphysic.ai
Metaphysic.ai is a leading provider of generative AI content that looks real. Their software automates hyperreal generative AI content creation, enabling users to create photorealistic faces, swap faces in live and post-production, de-age actors, and bring characters back to life. Metaphysic.ai's technology is used by the world's most demanding creators on projects at massive scale, including Hollywood films, television shows, and commercials.
Versy.ai
Versy.ai is a text-to-space generative AI solution that allows users to create virtual experiences from a text prompt. It is designed to be cost-effective, customizable, data-driven, and scalable. Versy.ai can be used to create a variety of interactive experiences, including product configurations, events, escape rooms, leaderboards, treasure hunts, and more.
Jeda.ai
Jeda.ai is a generative AI workspace that allows users to create, visualize, and analyze data in a collaborative environment. It offers a variety of features, including AI template analysis, AI mind map diagrams, AI flowchart diagrams, AI wireframe, AI text writer, AI sticky notes, AI art, AI vision and transform, AI data analysis, AI document analysis, and AI business cases. Jeda.ai is designed to help users improve their productivity and make better decisions.
Seek AI
Seek AI is a generative AI-powered database query tool that helps businesses break through information barriers. It is the #1 most accurate model on the Yale Spider benchmark and offers a variety of features to help businesses modernize their analytics, including auto-verification with confidence estimation, natural language summary, and embedded AI data analyst.
G3D.AI
G3D.AI is a generative AI platform that enables game creators to build beautiful, novel games in a fraction of the time. It provides a suite of tools that are carefully designed to supercharge creativity and eliminate manual tasks. With G3D.AI, game creators can use text prompts to create optimized 3D assets, generate unique levels, design gameplay mechanics, and write compelling stories for their games.
Regie.ai
Regie.ai is a sales automation platform that uses generative AI to help businesses with prospecting, lead generation, and customer engagement. It offers a range of features such as audience discovery, relevant content generation, outbound prioritization, and dynamic audience engagement. Regie.ai integrates with popular sales engagement platforms and CRM systems, making it easy for businesses to streamline their sales processes.
IBL News
Get the latest news on Generative AI and EdTech. Provided by ibl.ai and licensed under Creative Commons. More at iblnews.org
Generative AI Examiner
For "Generative AI Test". Examiner in Generative AI, posing questions and providing feedback.
Lilli
Lilli is a generative AI, designed for rapid data analysis and knowledge extraction to enhance consulting efficiency
AITrendsGPT
Guide in AI careers, startups, trends, and discovering various GPTs. Expert in upskilling and insights on generative AI and active GPTs.
Specialized Scientific Translator
Translation of scientific publications in several languages in the field of generative AI, Machine Learning, and Deep Learning.
PragmaPilot - A Generative AI Use Case Generator
Show me your job description or just describe what you do professionally, and I'll help you identify high value use cases for AI in your day-to-day work. I'll also coach you on simple techniques to get the best out of ChatGPT.
Sell Generative AI Art GPT
An agent to help you create beautiful images with methodology for AI marketplaces like Adobe Stock and by helping you in the process of picking a Category and help brainstorming and prompting,
🖌️ ModelScript Mastermind 🤖
🎨 Unleash creativity with your AI sidekick for scripting 3D models! Generate, tweak, and perfect scripts efficiently! 🚀✨
Ubbe
Ubbe generates answers, not just advice. Designed for action, Ubbe adjusts its reasoning framework and tool use as your objective evolves, allowing you to solve even the most complex tasks.
HaGiPT
Regele GPT ce încearcă să 'paseze' răspunsuri precise și să 'marcheze' puncte cu inteligența sa artificială.
generative-ai
This repository contains notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage generative AI workflows using Generative AI on Google Cloud, powered by Vertex AI. For more Vertex AI samples, please visit the Vertex AI samples Github repository.
generative-ai
This repository contains codes related to Generative AI as per YouTube video. It includes various notebooks and files for different days covering topics like map reduce, text to SQL, LLM parameters, tagging, and Kaggle competition. The repository also includes resources like PDF files and databases for different projects related to Generative AI.
generative-ai
The 'Generative AI' repository provides a C# library for interacting with Google's Generative AI models, specifically the Gemini models. It allows users to access and integrate the Gemini API into .NET applications, supporting functionalities such as listing available models, generating content, creating tuned models, working with large files, starting chat sessions, and more. The repository also includes helper classes and enums for Gemini API aspects. Authentication methods include API key, OAuth, and various authentication modes for Google AI and Vertex AI. The package offers features for both Google AI Studio and Google Cloud Vertex AI, with detailed instructions on installation, usage, and troubleshooting.
generative-ai-cdk-constructs
The AWS Generative AI Constructs Library is an open-source extension of the AWS Cloud Development Kit (AWS CDK) that provides multi-service, well-architected patterns for quickly defining solutions in code to create predictable and repeatable infrastructure, called constructs. The goal of AWS Generative AI CDK Constructs is to help developers build generative AI solutions using pattern-based definitions for their architecture. The patterns defined in AWS Generative AI CDK Constructs are high level, multi-service abstractions of AWS CDK constructs that have default configurations based on well-architected best practices. The library is organized into logical modules using object-oriented techniques to create each architectural pattern model.
generative-ai-python
The Google AI Python SDK is the easiest way for Python developers to build with the Gemini API. The Gemini API gives you access to Gemini models created by Google DeepMind. Gemini models are built from the ground up to be multimodal, so you can reason seamlessly across text, images, and code.
jetson-generative-ai-playground
This repo hosts tutorial documentation for running generative AI models on NVIDIA Jetson devices. The documentation is auto-generated and hosted on GitHub Pages using their CI/CD feature to automatically generate/update the HTML documentation site upon new commits.
neo4j-generative-ai-google-cloud
This repo contains sample applications that show how to use Neo4j with the generative AI capabilities in Google Cloud Vertex AI. We explore how to leverage Google generative AI to build and consume a knowledge graph in Neo4j.
generative-ai-android
The Google AI client SDK for Android enables developers to use Google's state-of-the-art generative AI models (like Gemini) to build AI-powered features and applications. This SDK supports use cases like: - Generate text from text-only input - Generate text from text-and-images input (multimodal) - Build multi-turn conversations (chat)
generative-ai-swift
The Google AI SDK for Swift enables developers to use Google's state-of-the-art generative AI models (like Gemini) to build AI-powered features and applications. This SDK supports use cases like: - Generate text from text-only input - Generate text from text-and-images input (multimodal) - Build multi-turn conversations (chat)
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 (🌟) 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 |
generative-ai-use-cases-jp
Generative AI (生成 AI) brings revolutionary potential to transform businesses. This repository demonstrates business use cases leveraging Generative AI.
generative-ai-docs
The Google Gemini Documentation repository contains the source files for the guide and tutorials on the Generative AI developer site, which is home to the Gemini API and Gemma. The repository includes notebooks and other content used directly on ai.google.dev, as well as demos and examples. To contribute to the site documentation, please read CONTRIBUTING.md. To contribute as a demo app maintainer, please read DEMO_MAINTAINERS.md. To file an issue, please use the GitHub issue tracker.
generative-ai-python
The Google AI Python SDK is the easiest way for Python developers to build with the Gemini API. The Gemini API gives you access to Gemini models created by Google DeepMind. Gemini models are built from the ground up to be multimodal, so you can reason seamlessly across text, images, and code.
generative-ai-go
The Google AI Go SDK enables developers to use Google's state-of-the-art generative AI models (like Gemini) to build AI-powered features and applications. It supports use cases like generating text from text-only input, generating text from text-and-images input (multimodal), building multi-turn conversations (chat), and embedding.
awesome-generative-ai
A curated list of Generative AI projects, tools, artworks, and models
awesome-generative-ai-guide
This repository serves as a comprehensive hub for updates on generative AI research, interview materials, notebooks, and more. It includes monthly best GenAI papers list, interview resources, free courses, and code repositories/notebooks for developing generative AI applications. The repository is regularly updated with the latest additions to keep users informed and engaged in the field of generative AI.
learn-generative-ai
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.
generative-ai-dart
The Google Generative AI SDK for Dart enables developers to utilize cutting-edge Large Language Models (LLMs) for creating language applications. It provides access to the Gemini API for generating content using state-of-the-art models. Developers can integrate the SDK into their Dart or Flutter applications to leverage powerful AI capabilities. It is recommended to use the SDK for server-side API calls to ensure the security of API keys and protect against potential key exposure in mobile or web apps.
generative-ai-js
Generative AI JS is a JavaScript library that provides tools for creating generative art and music using artificial intelligence techniques. It allows users to generate unique and creative content by leveraging machine learning models. The library includes functions for generating images, music, and text based on user input and preferences. With Generative AI JS, users can explore the intersection of art and technology, experiment with different creative processes, and create dynamic and interactive content for various applications.
ibm-generative-ai
IBM Generative AI Python SDK is a tool designed for the Tech Preview program for IBM Foundation Models Studio. It brings IBM Generative AI (GenAI) into Python programs, offering various operations and types. Users can start a trial version or request a demo via the provided link. The SDK was recently rewritten and released under V2 in 2024, with a migration guide available. Contributors are welcome to participate in the open-source project by contributing documentation, tests, bug fixes, and new functionality.
Engage AI
Engage AI is a generative AI tool that helps businesses increase their LinkedIn engagement and lead generation. It offers a range of features to help users create personalized and engaging content, including the ability to generate comments, connection requests, and profile content. Engage AI also provides insights into LinkedIn trends and best practices, and offers a variety of resources to help users get the most out of the platform.