The future of frameworks: Navigate the OSS landscape
summary
Claims that open source is central to AI development and that single frameworks can’t meet all needs, arguing for a modular ecosystem and component choice. Cites concrete tooling: Keras 3 GA now supports multiple backends (TensorFlow, JAX, PyTorch), mentions TensorFlow and JAX as maintained stacks, and lists adaptation paths from no-code prompt tuning to fine-tuning for large models. Useful if evaluating framework portability and deployment trade-offs.
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