Project Python for Java Developers: From Streams to Tensors
Part 10: "Into the Deep End" — PyTorch, Concurrency and the AI Toolkit
Tensors, autograd and a hand-written PyTorch training loop. Then the questions a Java architect asks: the GIL, threads vs processes, asyncio for fanning out LLM calls, embeddings and semantic search, validated structured output, and how Python models reach JVM services.