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Running
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Zero GPU Spaces - Best of AI Models Development Using Shared Quota GPU for Inference
https://huggingface.co/spaces/awacke1/ZeroHot
AI Multimodal Media Workflows and Pipelines
Simple Graph: https://github.com/AaronCWacker/Yggdrasil/blob/main/Mermaid/MultimodalAIPipelines.md Detail Graph: https://github.com/AaronCWacker/Yggdrasil/blob/main/Mermaid/MultimodalPipelinesDetail.md
Architecture to AI Space
๐ค AI Types and Capabilities Classification
1. Foundation Models & Orchestrators ๐ฏ
Large Language Models (LLMs)
- ๐ง General Purpose
- GPT-4 Omni
- Claude 3.5 Sonnet
- ๐ Domain-Specific
- Medical knowledge models
Mapped Spaces:
GPT-4o-omni-text-audio-image-video
AnthropicClaude3.5Sonnet-ACW
2. Content Generation ๐จ
2.1 Image Generation
Static Images
- ๐ผ๏ธ Text-to-Image
- Stable Diffusion 3
- DALL-E 3
- Midjourney
- ๐ Image-to-Image
- ControlNet
- Stable Cascade
Mapped Spaces:
OpenDalleV1.1-GPU-Demo
stable-cascade
stable-diffusion-3-medium
playgroundai/playground-v2.5
2.2 Video Generation
Dynamic Content
- ๐ฅ Text-to-Video
- Stable Video Diffusion
- ๐ฌ Image-to-Video
- Video Generation models
Mapped Spaces:
stable-video-diffusion
AI-MovieMaker-Comedy
2.3 Audio Generation
Sound Creation
- ๐ต Music Generation
- MusicGen
- MIDI Composer
- ๐ฃ๏ธ Text-to-Speech
- Edge TTS
- ๐๏ธ Voice Cloning
- Voice Clone tools
Mapped Spaces:
midi-composer
AudioFileGenerationWithSDAudio
MusicGenStreamFacebook
EZ-Voice-Clone-From-Long-Text
3. Analysis & Understanding ๐
3.1 Text Analysis
Document Processing
- ๐ RAG Systems
- Arxiv RAG
- ๐ Knowledge Extraction
Mapped Spaces:
Arxiv-Paper-Search-And-QA-RAG-Pattern
AIKnowledgeTreeBuilder
3.2 Speech Processing
Audio Analysis
- ๐ค Speech Recognition
- Real-Time ASR
- ๐ข Speech Understanding
Mapped Spaces:
RealTimeAsyncASR
whisper-web
4. Visualization & Presentation ๐
4.1 Data Visualization
Chart Generation
- ๐ AutoML Plotting
- ๐บ๏ธ Mapping Tools
Mapped Spaces:
AutoMLUsingStreamlit-Plotly
DynamicMapCreator2
4.2 3D Visualization
3D Content
- ๐ Mesh Generation
- InstantMesh
- ๐ฎ Interactive 3D
Mapped Spaces:
InstantMesh
5. Integration & Composition ๐
5.1 Media Composition
Multi-modal Integration
- ๐ฌ Video Composition
- ๐ Audio Mixing
Mapped Spaces:
Jasperai/Flux.1-dev-Controlnet-Upscaler
5.2 Interactive Systems
User Interaction
- ๐ฅ Chat Interfaces
- ๐ค Multiplayer Systems
Mapped Spaces:
anychat
Multiplayer-Eval-App-Upvote
SocketIO-Multiplayer-DrawingGame
6. Specialized Applications ๐ฅ
6.1 Healthcare Specific
Medical Tools
- ๐ Training Material Generation
- ๐จโโ๏ธ Patient Communication
Mapped Spaces:
USMLE-Story-Voting-Evals
PDF-text-to-speech-Per-Page
6.2 Research Tools
Scientific Applications
- ๐ Literature Analysis
- ๐ฌ Data Processing
Mapped Spaces:
Models-Datasets-Spaces-Search-Hub
RLHF.Reinforce.Learn.With.Human.Feedback
AI Pipeline Architecture Models for Multimodal Model Space Workflows
Zero GPU and GPU Spaces of note:
- https://huggingface.co/spaces/awacke1/stable-video-diffusion
- https://huggingface.co/spaces/awacke1/GPT-4o-omni-text-audio-image-video
- https://huggingface.co/spaces/awacke1/Arxiv-Paper-Search-And-QA-RAG-Pattern
- https://huggingface.co/spaces/awacke1/AnthropicClaude3.5Sonnet-ACW
- https://huggingface.co/spaces/awacke1/MusicGenStreamFacebook
- https://huggingface.co/spaces/awacke1/AIKnowledgeTreeBuilder
- https://huggingface.co/spaces/awacke1/RescuerOfStolenBikes
- https://huggingface.co/spaces/awacke1/PDF-text-to-speech-Per-Page
- https://huggingface.co/spaces/awacke1/AzureCosmosDBUI
- https://huggingface.co/spaces/awacke1/MSGraphAPI
- https://huggingface.co/spaces/awacke1/RealTimeAsyncASR
- https://huggingface.co/spaces/awacke1/whisper-web
- https://huggingface.co/spaces/awacke1/MarkdownMagicEditor.md
- https://huggingface.co/spaces/awacke1/EZ-Voice-Clone-From-Long-Text
- https://huggingface.co/spaces/awacke1/Edge-TTS-Text-to-Speech
- https://huggingface.co/spaces/awacke1/StreamlitDotEdgeGraphViz-Images-SVG (Image button and rounded buttons)
- https://huggingface.co/spaces/awacke1/DynamicMapCreator2
- https://huggingface.co/spaces/awacke1/RealTimeAsyncASR
- https://huggingface.co/spaces/awacke1/realtime-whisper-webgpu
- https://huggingface.co/collections/Xenova/transformersjs-demos-64f9c4f49c099d93dbc611df
- https://huggingface.co/spaces/awacke1/Models-Datasets-Spaces-Search-Hub
- https://huggingface.co/spaces/awacke1/AutoMLUsingStreamlit-Plotly (CSV to Plotly Graph Objects)
- https://huggingface.co/spaces/awacke1/Multiplayer-Eval-App-Upvote
- https://huggingface.co/spaces/awacke1/AI-MovieMaker-Comedy
- https://huggingface.co/spaces/awacke1/Multiplayer-Image-Evaluate-Upvote
- https://huggingface.co/spaces/awacke1/Multiplayer-USMLE-Story-Voting-Evals
- https://huggingface.co/spaces/awacke1/Multiplayer-RLHF-Evals
- https://huggingface.co/spaces/awacke1/RLHF.Reinforce.Learn.With.Human.Feedback
- https://huggingface.co/spaces/awacke1/MultiuserFarmSimulator
- https://huggingface.co/spaces/awacke1/SocketIO-Multiplayer-DrawingGame
- https://huggingface.co/spaces/awacke1/Multiplayer-Self-Play-Sankey-Simulator
- https://huggingface.co/spaces/awacke1/Multiplayer-Action-Battle
- https://huggingface.co/spaces/awacke1/Multiplayer-Image-Character-Terrain
- https://huggingface.co/spaces/awacke1/MultiplayerMapMovement
- https://huggingface.co/spaces/awacke1/MultiplayerDiceGameFromGrok
- https://huggingface.co/spaces/awacke1/AaronWackerMusic
Evolvable In:
Technology and Science: Software and Systems: In computing, an "evolvable" system or software might refer to those that are designed with future changes in mind, incorporating modularity, scalability, and flexibility. For instance: Evolvable APIs: Application Programming Interfaces (APIs) that are designed to evolve with changes in technology or user needs without breaking existing integrations. Evolvable Hardware: Refers to hardware systems where the physical or functional aspects can be altered or improved, often through reconfigurable technology like FPGAs (Field-Programmable Gate Arrays). Biological and Evolutionary Science: In biology, "evolvable" might describe organisms, traits, or genetic structures that have a high potential for evolutionary change due to variability, plasticity, or other mechanisms that aid in adaptation. Machine Learning and AI: Here, "evolvable" could describe algorithms or models that can learn and adapt from data over time, improving their performance or changing their behavior based on new inputs or changes in the environment.
Business and Organizational Context: Business Models: A company might be described as "evolvable" if it has the capability to adapt its business model to new market conditions, technologies, or consumer behaviors without losing its core identity or value proposition. Organizational Structures: Refers to organizational designs that allow for change, learning, and growth, often through decentralized decision-making or agile methodologies.
Cultural and Philosophical Implications: Ideas and Culture: Can describe ideas, cultures, or societal structures that are capable of changing, growing, or adapting in response to new knowledge, ethics, or external pressures.