# Deep dives

- [AWS ML architecture on AWS](https://antoniovfranco.gitbook.io/antoniovfranco-docs/deep-dives/aws-ml-architecture-on-aws.md): How I design training and inference systems on AWS.
- [AWS cost optimization for ML](https://antoniovfranco.gitbook.io/antoniovfranco-docs/deep-dives/aws-cost-optimization-for-ml.md): How I reduce AWS costs for training and inference.
- [Parameter-efficient fine-tuning (LoRA, QLoRA, QDoRA)](https://antoniovfranco.gitbook.io/antoniovfranco-docs/deep-dives/parameter-efficient-fine-tuning-lora-qlora-qdora.md): How I fine-tune LLMs with tight GPU budgets.
- [MLOps and production ML systems](https://antoniovfranco.gitbook.io/antoniovfranco-docs/deep-dives/mlops-and-production-ml-systems.md): CI/CD, monitoring, drift, A/B tests, disaster recovery, reproducibility.


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