| name | generative-ai-intro |
| description | Overview and index of Generative AI capabilities on reComputer Jetson. Covers text generation (LLM chatbots), image generation, audio generation (Whisper STT), multimodal (VLM), RAG, LLM fine-tuning, and quantized inference. This is a reference/navigation skill — it links to specific deployment skills. |
Generative AI with reComputer Jetson
Execution model
Run one phase at a time. After each phase:
- Relay all command output to the user.
- If output contains
[STOP] → stop immediately, consult the failure decision tree below.
- If output ends with
[OK] → tell the user "Phase N complete" and proceed to the next phase.
Prerequisites
| Requirement | Details |
|---|
| Hardware | NVIDIA Jetson Orin (reComputer recommended) |
| JetPack | 5.x or 6.x depending on specific application |
| Internet | Required for container pulls and model downloads |
Phase 1 — Identify the target application
This skill is an index of Generative AI topics on Jetson. Help the user identify which specific application they need:
Text Generation (Local Chatbots)
- Local AI Assistant with Ollama + AnythingLLM
- Local Voice Chatbot with Nvidia Riva + Llama2
Image Generation
- Local LLM Text-to-Image on reComputer
Audio Generation
- Speech Subtitle Generation on Jetson
- Deploy Whisper on Jetson Orin for real-time STT
Multimodal
- Run VLM on reComputer with Jetson Platform Services
Retrieval Augmented Generation (RAG)
- Local AI Assistant with Ollama + AnythingLLM
- Local RAG with LlamaIndex on Jetson
Other
- Fine-tune LLM with Llama-Factory on Jetson
- Quantized Llama2-7B with MLC LLM on Jetson Orin NX
- Zero-Shot Detection on reComputer
- Format LLM Output with Langchain on Jetson
[OK] — once the user selects a topic, direct them to the corresponding skill or wiki link.
Phase 2 — Deploy jetson-examples (common entry point)
Many Generative AI applications on Jetson use the jetson-examples package for one-line deployment:
pip3 install jetson-examples
sudo reboot
After reboot, deploy the chosen application:
reComputer run <application-name>
[OK] when the application container starts and the service is accessible.
For the full list of applications, wiki links, and detailed tutorials for each topic, see references/source.body.md.
Failure decision tree
| Symptom | Action |
|---|
pip3 install jetson-examples fails | Ensure Python3 and pip3 are installed. Try sudo apt install python3-pip. |
reComputer run fails | Check Docker is installed and running. Verify internet connectivity. Check disk space. |
| OOM during model loading | Use a smaller model variant. Ensure no other heavy processes are running. Check available RAM with free -h. |
| Application not listed in jetson-examples | Check the jetson-examples GitHub for the latest supported applications. Some may require manual Docker setup. |
Reference files
references/source.body.md — full original Seeed index page with links to all Generative AI tutorials, screenshots, and application descriptions (reference only)
