Amazon Web Services → Microsoft Azure
Azure equivalent of Amazon Bedrock model customization
Bedrock model customization maps to Foundry fine-tuning.
About Amazon Bedrock model customization
| Provider | Amazon Web Services |
|---|---|
| Status | Generally available |
| What it is | Supervised fine-tuning, reinforcement fine-tuning (reward functions in Lambda), and distillation for supported Bedrock models. |
| Documentation | docs.aws.amazon.com |
| Pricing | Official pricing page |
Azure mappings (1)
| Capability | Azure equivalent | Match |
|---|---|---|
| Foundation model fine-tuning & distillation | Foundry fine-tuning | Direct match |
Generative AI platforms & models(1)
Foundation model fine-tuning & distillation Direct match
Bedrock model customization maps to Foundry fine-tuning. Both offer supervised fine-tuning, reinforcement fine-tuning, and distillation for selected models.
- Bedrock offers supervised fine-tuning, reinforcement fine-tuning (reward functions written in AWS Lambda, or training from invocation logs), and managed distillation (teacher to student).
- Foundry offers SFT, preference fine-tuning (DPO), and reinforcement fine-tuning (model-specific). Distillation is done through teacher-generated SFT data. Fine-tuned models deploy serverless or on managed compute with LoRA adapters (preview).
- Which base models are tunable differs a lot and changes often. Check each side's supported-model table.