DaaS / Products / Fine-Tune on PAI, Deploy via Bailian

Fine-Tune on PAI, Deploy via Bailian

A developer fine-tunes a custom LLM on PAI using proprietary data, then deploys the resulting model as a managed inference endpoint on Bailian for integration into their application stack.

Products involved

Scenario

A developer fine-tunes a custom LLM on PAI using proprietary data, then deploys the resulting model as a managed inference endpoint on Bailian for integration into their application stack.

How the products combine

pai · pai-deploy-inference — Platform for AI (PAI) — Deploy a model for online inference

See pai/pai-deploy-inference.

bailian · bailian-deploy-model — — Deploy custom or fine-tuned AI models as endpoints

See bailian/bailian-deploy-model.

Typical questions

fine-tune and deploy custom model
train on PAI deploy to Bailian
deploy fine-tuned model as endpoint
custom LLM deployment pipeline
微调模型并部署
PAI训练后部署到百炼
自定义模型上线推理
deploy custom trained model

FAQ

Q: How do I fine-tune a custom model on PAI and deploy it to Bailian? A: You fine-tune a custom LLM on PAI using proprietary data and deploy the resulting model as a managed inference endpoint on Bailian. This workflow combines PAI for online inference deployment with Bailian to host the custom model for your application stack.