Advances in innovation of AI tools and technologies enable us to solve problems faster, easier, and more effectively. As the technologies grow in complexity and diversity, we experience a growing need for guiding innovation teams through rapid prototyping and user-centred development.
AI Makerspace repository is a hub of blueprint templates for using state-of-the-art technologies in the rapid prototyping of AI use cases. Working closely with cross-functional innovation teams at Digital Product School of UnternehmerTUM, we guide the teams through AI Design Thinking/Engineering, Lean AI Engineering, Explainable AI (XAI), Responsible and Ethical AI, as well as User Experience (UX) of machine learning products.
Each folder of our GitHub repository is self-explanatory for using the blueprint templates of selected technologies and AI use cases. Here is the list of some of the tools, platforms, and applications that we have explored:
- HuggingFace
- GKE-Autopilot
- Heroku
- CloudRun
- VertexAI
- FastAPI
- AWS SageMaker
- Tableau
- Open Source LLM
- OpenAI GPT
- Streamlit
- Gradio
- PyCaret
- Data Version Control
- Docker
- Assembly AI
- PyTorch
- TensorFlow
- Flask
- Microservices
- Retrieval-Augmented Generation (RAG)
- 3D Maps, AR & 3D Geo AI interactive applications
- Chatbot
- Emotion detection
- Offensive speech detection
- Keyword extraction
- PDF question-answering
- Text translation
- Text auto-completion
- Text to Speech
- Summarization
- Speech recognition
- Image Generation
- Image Caption Generation
- Neural style transfer
- Synthetic data generation
- Accident prediction
💥 In addition, you can find our curated list of resources to help AI prototyping on our Wiki page: Curated AI Resources
📫 For any questions and if you are interested to collaborate, fill out this application form.
Enjoy & Rock!