aws-samples/amazon-sagemaker-personalized-generative-ai
This project simplifies personalized Gen-AI SaaS apps. We fine-tune pre-trained models for users, use single GPUs, and ensure real-time responsiveness. A base txt2img Stable Diffusion model from SageMaker JumpStart is used. Challenges include traffic spikes, low-latency, and cost-efficiency. We aim for efficient, user-centric AI solutions.
PythonMIT-0
Stargazers
- aasthavarAmazon Web Services
- bimhud
- chasen-bettingerJupiterOne
- chatcharoen
- esnekoLatvia
- FranMorilloAWS
- joseanavarromAmazon Web Services (AWS)
- kobrinartem
- nkhlktnUnited Kingdom
- Pager07
- pedrodiamel@CESARBR
- PO-VINCENT
- Ponhappy
- RaphaelSchambeckCuritiba/PR - Brasil
- taabrcr@NinjaArch
- violiveiAmazon Web Services (AWS)
- webrulon