4 articles tagged with Machine Learning.
The LLM stack is a maze of APIs, GPU clouds, gateways, and serving tools. This is the map to what each layer is for and how to keep the bill sane.
A practitioner's guide to picking a GPU cloud for training and inference, where hourly rates for the same H100 can differ by 3x.
They solve different problems. RAG injects knowledge; fine-tuning changes behavior. The decision criteria, the hybrid pattern, and what we'd do over.
Tracking experiments and shipping models are different problems. The MLOps tooling assumes one solution; production splits them. The patterns we use.