# Generative AI

Flow is an AI-driven movie-making tool designed for creators, utilizing Google DeepMind's advanced models to allow users to easily create excellent movie clips, scenes, and stories. The tool provides a seamless creative experience, supporting user-defined assets or generating content within Flow. In terms of pricing, the Google AI Pro and Google AI Ultra plans offer different functionalities suitable for various user needs.

OpenAI Academy is dedicated to providing educators with the knowledge and skills in artificial intelligence to help them effectively integrate AI technology into their teaching. Through workshops targeted at K-12 educators, OpenAI Academy highlights the generative AI models (such as ChatGPT) construction and transformative potential, and their practical applications in the classroom. This platform aims to help educators navigate the opportunities and challenges presented by AI, empowering them to equip students with the necessary safety, skills, and autonomy in an ever-evolving digital environment. This project is free and aims to create a brighter future for educators and students.

Cube is a powerful 3D intelligent generation model designed to help developers create various 3D assets and scenes on the Roblox platform. The model features 3D object generation, character animation rigging, and procedural script generation. It significantly enhances creator productivity, sparks more creativity, and helps users build rich 3D experiences faster. The current version is open-source, aiming to share with the research community to advance 3D intelligence. Suitable for developers and creators of all sizes, supporting experimentation, innovation, and promoting responsible use.

AI Mode is an experimental feature in Google Search, developed based on the Gemini 2.0 model. It leverages advanced reasoning and multimodal capabilities to provide users with deeper, more comprehensive search results. This feature aims to help users more efficiently handle complex, multi-part questions and deliver high-quality responses using real-time data and knowledge graphs. The launch of AI Mode reflects Google's ongoing innovation in enhancing the search experience and showcases the potential of generative AI in information retrieval.

Launched by Amazon in 2025, Alexa+ is the next-generation intelligent voice assistant built on generative AI technology. It not only enables natural and fluent conversations but also connects to thousands of services and devices, helping users accomplish various tasks. Its core advantages lie in its powerful language understanding capabilities, personalized services, and seamless device integration. The launch of Alexa+ marks the transition of voice assistants from simple question-and-answer tools to true intelligent life assistants, helping users better manage their daily lives and smart home devices.

Photoshop on iPhone is Adobe's new image editing app designed for mobile creators. It inherits the power of Photoshop, optimized for mobile use. The app aims to provide users with creative freedom on the go while maintaining professional-grade editing precision and image quality. It's suitable for both beginners and seasoned designers, offering a convenient mobile creation tool. Basic features are free, with a paid Photoshop Mobile & Web plan available for expanded functionality and cross-platform syncing.

Vectara is an enterprise-focused AI platform, specializing in enabling businesses to quickly deploy and manage generative AI applications. It ensures the accuracy and security of AI applications through advanced Retrieval-Augmented Generation (RAG) technology. The platform supports multilingual data processing, boasts high performance and scalability, and is suitable for various vertical industries including finance, education, and law. Its key strengths lie in robust data security and privacy protection, adhering to compliance standards such as SOC 2, HIPAA, and GDPR. The product is positioned for the mid-to-high-end enterprise market and offers a free trial option, although specific pricing details are not publicly available.

Memobase is a user profile foundational memory system specifically designed for generative AI applications. By extracting and storing meaningful user insights, it avoids data bloat while maintaining structured user profiles to deliver highly relevant responses. Key benefits of Memobase include simplified memory management, personalized user experiences, support for massive scaling, and flexible deployment in the cloud or on-premises. The product is suitable for AI applications requiring personalized interactions, such as AI companions, education, and gaming.

WHAM (World and Human Action Model) is a generative model developed by Microsoft Research, specifically designed for generating game scenes and player behaviors. Trained on data from Ninja Theory's 'Bleeding Edge' game, it can generate coherent and diverse game visuals and controller actions. WHAM's primary advantage lies in its ability to capture the 3D structure of game environments and the temporal sequences of player actions, providing a powerful tool for game design and creative exploration. The model primarily targets academic research and the game development field, helping developers rapidly iterate on game designs.

MakeAnything is a diffusion transformer-based model focused on multi-domain procedural sequence generation. By combining advanced diffusion models and transformer architecture, it can generate high-quality, step-by-step creative sequences, such as paintings, sculptures, icon designs, and more. Its main advantage lies in its ability to handle generative tasks across multiple domains and quickly adapt to new domains with a small number of samples. Developed by the Show Lab team at the National University of Singapore, this model is currently available as open-source, aiming to promote the development of multi-domain generation technology.

Gen AI Toolbox for Databases is an open-source tool aimed at helping developers build generative AI tools that interact with databases more easily, quickly, and securely. It simplifies the development and deployment process by handling complexities such as connection pools and authentication. The tool supports several databases, including AlloyDB, Cloud SQL, MySQL, and PostgreSQL, and provides end-to-end observability support, such as OpenTelemetry integration. It is suitable for applications that require efficient development and secure database access and is currently available for free as open source.

NVIDIA's PDF to Podcast Blueprint is a generative AI-based application that can transform PDF documents (such as training materials, technical studies, or documentation) into personalized audio content. This technology leverages large language models (LLMs), text-to-speech (TTS) technology, and NVIDIA NIM microservices to convert PDF data into engaging audio content, facilitating learning on the move while addressing information overload. The solution runs entirely on NVIDIA's cloud infrastructure, eliminating the need for local GPU hardware, ensuring compliance with privacy regulations, and offering customization options for branding, analytics, real-time translation, or digital avatar interfaces based on user needs.

Gemini 2.0 signifies a significant advancement in generative AI from Google, representing state-of-the-art artificial intelligence technology. With its robust language generation capabilities, it offers efficient and flexible solutions for developers, suitable for a variety of complex scenarios. Key advantages of Gemini 2.0 include high performance, low latency, and a simplified pricing strategy aimed at reducing development costs and boosting productivity. This model is provided via Google AI Studio and Vertex AI and supports multiple modality inputs, showcasing vast application potential.

Mistral Small 3 is an open-source language model introduced by Mistral AI, featuring 24 billion parameters and operating under the Apache 2.0 license. This model is specifically engineered for low latency and efficient performance, making it suitable for generative AI tasks that require rapid responses. It achieves an accuracy rate of 81% on the Multi-Task Language Understanding (MMLU) benchmark and can generate text at a speed of 150 tokens per second. Mistral Small 3 aims to provide a powerful foundational model for local deployment and customizable development across various industry applications, such as financial services, healthcare, and robotics. The model has not been trained using reinforcement learning (RL) or synthetic data, placing it in the early stages of the production pipeline and making it suitable for building inference capabilities.

The FLUX Pro Finetuning API, launched by Black Forest Labs, is a customization tool for generative text-to-image models. It allows users to fine-tune the FLUX Pro model using a small number of example images (1-5) to generate high-quality image content meeting specific brand, style, or visual requirements. The primary advantages of this technology include its high customization capability, preservation of brand consistency, and seamless integration with the FLUX tool suite. It is suitable for professional creatives, designers, and brand managers, aiding them in personalized content creation for marketing, branding, and storytelling. Pricing is currently unspecified, but it is positioned as a premium creative tool, suited for users with high demands for the quality of generated content.

Launched by Microsoft Research, MatterGen is a generative AI tool for material design. It can directly generate new materials with specific chemical, mechanical, electronic, or magnetic properties based on application design requirements, providing a new paradigm for material exploration. This tool is expected to accelerate the R&D process for novel materials, lower R&D costs, and play a significant role in fields such as batteries, solar cells, and CO2 adsorbents. Currently, MatterGen's source code is open-sourced on GitHub for public use and further development.

Narrative BI AI Data Analyst is an advanced business intelligence tool that utilizes generative AI technology, enabling users to interact with data through natural language queries for quick and deep business insights. Its key advantages include a user-friendly interface and robust data analysis capabilities that transform complex data into easily comprehensible information, aiding users in making more informed decisions. Suitable for businesses of all sizes, this product aims to enhance the efficiency and accuracy of data analysis, driving business growth.

Narrative BI is an automated business intelligence platform that employs generative artificial intelligence technology to help businesses and teams automatically extract valuable insights from various data sources, including sales, marketing, and advertising. By utilizing natural language generation technology, it converts complex data analysis results into easily understandable narratives, enabling users to quickly grasp the underlying meanings of their data. The primary advantage of Narrative BI lies in its high level of automation, allowing users to connect multiple data sources without needing to write code while monitoring key metrics in real time. Additionally, it offers anomaly detection features that identify unexpected fluctuations in data, aiding users in making more accurate decisions. Narrative BI aims to provide a user-friendly, powerful data analysis tool for businesses of all sizes to support their growth and optimization.

Project Amelia is a personal assistant initiative launched by Amazon that leverages generative artificial intelligence technology to provide sellers with personalized business advice aimed at boosting productivity and driving seller growth. The project utilizes Amazon Bedrock technology, offering scalable, state-of-the-art foundational models and AI tools to help sellers simplify their sales processes on Amazon while providing more robust avenues for growth. By answering sellers' questions, Project Amelia delivers accurate information and guidance, enabling sellers to manage their businesses more effortlessly and efficiently. It also learns about each seller's unique operations to offer tailored insights and support, accessible from any page within Seller Central.

Phi Open Models, offered by Microsoft Azure, redefine the potential of small language models (SLMs) with exceptional performance, affordability, and low latency. While maintaining a compact size, the Phi models provide robust AI capabilities, reducing resource consumption and ensuring cost-effective generative AI deployments. The development of Phi models adheres to Microsoft's AI principles, which include responsibility, transparency, fairness, reliability and safety, privacy, and inclusiveness.

The NVIDIA Jetson Orin Nano Super Developer Kit is a compact generative AI supercomputer that offers superior performance at a lower price. It caters to a wide user base ranging from commercial AI developers to hobbyists and students, providing a 1.7x increase in generative AI inference performance, a performance boost to 67 INT8 TOPS, and an upgrade in memory bandwidth to 102GB/s. This product is ideal for developing retrieval-augmented generative LLM chatbots, building visual AI agents, or deploying AI-based robots.

aisuite is a product that provides a simple, unified interface to access multiple generative AI services. It enables developers to use multiple large language models (LLMs) through a standardized interface and compare results. As a lightweight Python client library wrapper, aisuite allows creators to seamlessly switch and test responses from different LLM providers without altering the code. Currently, the library mainly focuses on chat completion features and plans to expand to more use cases in the future.

text2motion.ai is a platform that leverages generative artificial intelligence technology to swiftly convert text content into animations. By simplifying the animation production process, it reduces the need for specialized skills and expensive equipment, enabling everyone from independent developers to professional animators to bring characters to life in a short amount of time. The platform offers REST APIs and various integration options, allowing users to utilize it within their preferred tools and workflows.

d-Matrix is a company focused on AI inference technology, with its flagship product Corsair? being an AI inference platform specifically designed for data centers that provides extremely high inference speed and low latency. Through hardware-software co-design, d-Matrix optimizes the performance of Generative AI inference, promoting the application of AI technology in data centers, making large-scale AI inference more efficient and sustainable.

TurboLens is a comprehensive platform that integrates OCR, computer vision, and generative AI, capable of automating the rapid extraction of insights from unstructured images to streamline workflows. Background information indicates that TurboLens aims to extract customized insights from printed and handwritten documents through its innovative OCR technology and AI-driven translation and analysis suite. Additionally, TurboLens offers mathematical formula and table recognition features, converting images into actionable data while translating mathematical formulas into LaTeX and tables into Excel format. For pricing, TurboLens provides both free and paid plans to cater to different user needs.

NVIDIA AI Blueprint for Video Search and Summarization is a reference workflow based on NVIDIA NIM microservices and generative AI models, designed to build visual AI agents capable of understanding natural language prompts and executing visual question answering. These agents can be deployed in various scenarios, such as factories, warehouses, retail stores, airports, and traffic intersections, assisting operations teams in making better decisions based on rich insights generated from natural interactions.

Prime Video’s X-Ray Recaps feature utilizes generative artificial intelligence technology to deliver concise, digestible summaries of TV episodes. This feature creates personalized summaries for entire seasons, single episodes, or even specific segments, tailored to the precise minute the viewer is watching. X-Ray Recaps provides text snippets of crucial plot points, character-driven moments, and other details when the user needs them, enhancing the streaming experience without concerns about spoilers or the need to rewatch previously viewed content.

Decagon is an enterprise-level customer support AI platform that offers generative AI agents for delivering exceptional customer experiences. It is trusted by large corporations and high-growth startups. Decagon's AI support agents enable true automated resolution, providing 100% generative responses and actions without complex decision trees or preset responses. It also offers seamless integration with existing tools and data sources, maximizing AI potential. Furthermore, Decagon provides AI-driven insights to help businesses identify trends, detect anomalies, and unlock valuable conversation analytics. In 2024, Decagon completed a $65 million Series B financing round led by Bain and Elad Gil, showcasing its strong background and market position in the AI customer service domain.

AutoArena is an automated generative AI assessment platform focused on evaluating large language models (LLMs), retrieval-augmented generation (RAG) systems, and generative AI applications. It provides reliable assessments through automated head-to-head evaluations, helping users quickly, accurately, and economically find the best version of their systems. The platform supports evaluating models from various vendors such as OpenAI and Anthropic, as well as locally run open-source weight models. AutoArena also provides Elo scoring and confidence interval calculations to help users translate multiple head-to-head votes into leaderboard rankings. Additionally, AutoArena supports fine-tuning of custom evaluation models for more accurate, domain-specific assessments and can be integrated into continuous integration (CI) processes to automate the evaluation of generative AI systems.

GenAI_Agents is an open-source resource library focused on the development and implementation of generative AI agents. It offers tutorials and implementations ranging from basic to advanced, aimed at helping developers learn, build, and share generative AI agents. This library is suitable for both beginners and experienced practitioners, fostering learning and innovation through a wealth of examples and documentation.