Frequently Asked Questions
What is the Darwin Framework? ▼
The Darwin Framework is an evolutionary optimization toolkit for AI systems. It provides bio-inspired optimization algorithms including genetic algorithms, evolutionary strategies, and co-evolutionary methods for prompt optimization, architecture search, and multi-objective problems.
What AI problems can Darwin solve? ▼
Darwin is applicable to prompt evolution for LLMs, neural architecture search, hyperparameter tuning, feature selection, and multi-objective optimization of AI workflows and model architectures.
Is Darwin compatible with PyTorch and TensorFlow? ▼
Yes, the Darwin Framework provides adapters for both PyTorch and TensorFlow. It can optimize model architectures and hyperparameters across frameworks.
How does Darwin handle multi-objective optimization? ▼
Darwin includes state-of-the-art multi-objective evolutionary algorithms (NSGA-II, NSGA-III, MOEA/D) that can simultaneously optimize for accuracy, model size, inference speed, and other constraints.