Rhymes.ai AI technology page Top Builders

Explore the top contributors showcasing the highest number of Rhymes.ai AI technology page app submissions within our community.

Rhymes.ai

Rhymes AI is an innovative company focused on developing advanced multimodal AI solutions that integrate diverse data types—such as text, images, and video—into seamless outputs. Committed to efficiency, versatility, and open-source collaboration, Rhymes AI transforms how industries leverage AI to build powerful applications.

Through its flagship models, Aria and Allegro, Rhymes AI empowers developers, researchers, and businesses to create sophisticated AI tools. Aria is designed for understanding and generating multimodal content with ease, while Allegro introduces a text-to-video generation capability, enabling the instant transformation of ideas into captivating videos. Together, these models provide a comprehensive solution for multimodal AI innovation.

General
AuthorRhymes.ai
Release Date2024
Websitehttps://www.rhymes.ai/
Discordhttps://discord.com/invite/u8HxU23myj
HuggingFacehttps://huggingface.co/rhymes-ai/Aria
Repositoryhttps://github.com/rhymes-ai/Aria
Technology TypeMultimodal AI Platform (Open-source, Mixture-of-Experts Model)

Aria & Allegro

Rhymes AI’s flagship models, Aria and Allegro, are at the forefront of multimodal AI innovation, each designed to tackle unique challenges in processing diverse data types.

Aria is a Mixture-of-Experts (MoE) model developed by Rhymes AI, specifically designed to handle multimodal inputs like text, images, and video. This open-source model focuses on efficiency and high performance. During inference, Aria activates only 3.9 billion parameters from its total 25.3 billion parameters, making it one of the fastest multimodal AI systems available today. It seamlessly processes diverse data formats seamlessly, leveraging its 64K-long multimodal context window to deliver comprehensive insights. Aria can handle long-form content, such as captioning 256-frame videos in just 10 seconds, with remarkable speed and precision.

Allegro, Rhymes AI’s text-to-video model, introduces new capabilities for creative industries, enabling users to transform text into high-quality videos quickly and efficiently. Allegro is optimized for video generation tasks, with a model size of 3B parameters, and can process short video clips at 720p resolution in a matter of minutes. Its optimized architecture allows for rapid video production, opening up new possibilities for content creators, marketers, and AI researchers alike.

Both models set a new standard for efficiency and performance. Aria outperforms Pixtral 12B and Llama-3.2-12B on several benchmarks, including MMMU and MathVista, while surpassing GPT-4o in handling long video tasks and outshining Gemini 1.5 Flash in document parsing. Allegro, meanwhile, enables rapid video production, reducing traditional production bottlenecks.

Designed to foster collaboration and customization, Aria and Allegro are fully open-source under the Apache 2.0 license.Developers and researchers have full access to the model’s open weights, code, and demos. This openness encourages innovation, empowering the community to fine-tune and optimize Aria for diverse use cases, such as healthcare, content creation, AI research, and customer service.

Key Features of Aria

  • Multimodal Native: Seamlessly processes text, images, and videos within a unified model.

  • Lightning-Fast Video Processing: Captures and captions 256-frame videos in just 10 seconds.

  • Text-to-Video Generation (Allegro): Rapidly transforms text into high-quality 720p video.

  • Open-Source Model: Fully available for developers to modify, customize, and extend.

  • Apache 2.0 License: Grants full access to weights, code, and demos.

Applications

  • AI Research and Development: Leverage the Aria and Allegro models to explore new AI innovations, pushing the boundaries of multimodal data processing and text-to-video generation. Researchers can use Aria to explore complex datasets and Allegro to pioneer creative uses of AI-generated video content.

  • Customer Support Systems: Integrate Rhymes AI’s multimodal capabilities into chatbots and virtual assistants to handle complex inquiries involving text, image, and video data. Aria’s ability to process multiple data types ensures faster, more accurate responses, while Allegro can enhance customer interactions by generating video explanations or tutorials on demand.

  • Content Creation: Use Aria to generate written content from text prompts and Allegro to transform those prompts into engaging videos. Ideal for media, marketing, and creative industries, these models enable faster and more scalable content production, from blog posts to video advertisements.

  • Healthcare: Combine Aria’s text processing capabilities (for patient records) with Allegro’s video generation to create training materials or explain complex medical procedures. With its ability to handle both text and visual data (e.g., medical imaging), Rhymes AI’s solutions provide advanced diagnostic support and educational content.

  • E-commerce and Fintech: Transform customer engagement and decision-making systems using Aria’s multimodal insights and Allegro’s video content creation. Whether through personalized shopping experiences or finance tutorials, Rhymes AI helps businesses offer a more dynamic, multimodal user experience.

Rhymes.ai AI technology page Hackathon projects

Discover innovative solutions crafted with Rhymes.ai AI technology page, developed by our community members during our engaging hackathons.

GSAM - GenericSuite App Maker

GSAM - GenericSuite App Maker

Key Features: * Answer question with LLM inference, using Meta Llama models, Together.ai, HuggingFace, Groq, Ollama, Nvidia NIMs, and OpenAI. * Image Generation: using HuggingFace and the Flux or OpenAI Dall-E models. * Video Generation: using Rhymes AI Allegro model. * Galleries to show the generated images and videos. * Ability to change the Provider and Model used for all the LLM Inferences, image and video generations. * Suggestions to generate App ideas, and the hability to customize the suggestion generation prompt. * Code Generation: suggest the JSON configuration files and Langchain Tools Python code from an App description to be used with the GenericSuite library. * Use LlamaIndex to generate code and JSON files using vectorized data instead of send all the attachments to the LLM. * Store each user interaction (question, answer, image, video, code) in a MongoDB database, and retrieve it later. * Database Management: import and export data from MongoDB to JSON files. * Prompt Engineering: there's an option to allow the prompts/questions optimization to take more advantage from the Model's capabilities. * Naming: generate name ideas for the App. * App Structure: generate the App description and database table structures. * App Presentation: generate PowerPoint presentation for the App, including the content, speaker notes, and image generation prompts. Technology Used: * Meta Llama models: Llama 3.2 3B, Llama 3.1 8B, 70B, and 405B * Together.ai * Huggingface Inference API * Flux.1 image generation model * Rhymes Allegro video generation model * LlamaIndex framework. * StreamLit * MongoDB Atlas * Python 3.10

VIsionAid

VIsionAid

VisionAid is an AI-driven medical assistant designed to empower blind and visually impaired individuals by providing critical insights from medical data, all through voice-controlled, hands-free interactions. The app’s capabilities include interpreting complex medical images like X-rays, MRIs, and CT scans, translating visual data into clear, accessible language that users can understand. This feature enables users to receive essential health information without needing to rely on visual aids or third-party assistance. With VisionAid, users can also gain detailed insights from prescriptions. The app reads out medication names, dosages, and instructions, ensuring users have complete knowledge of their treatment plans. If a prescription includes any special precautions, side effects, or drug interactions, VisionAid can convey this information effectively, promoting safe medication use and informed healthcare decisions.The app is fully voice-activated, allowing users to ask questions and receive responses without ever needing to touch a screen. From asking, “What’s in my prescription?” to “What does my X-ray show?” VisionAid offers a seamless, conversational experience. Through sophisticated text-to-speech and speech recognition technology, it interprets queries and delivers responses in a clear, natural voice. In addition to image and prescription analysis, VisionAid can assist users in managing schedules by setting medication reminders, doctor’s appointments, and follow-ups, all accessible through simple voice commands. This functionality supports users in maintaining their health routines with minimal effort. Designed with the unique needs of visually impaired users in mind, VisionAid’s combination of advanced AI, intuitive voice control, and comprehensive healthcare insights represents a significant step toward accessible, independent healthcare management.