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- Transformers implement any computable algorithm
Transformer models can implement any computable algorithm because MLPs handle arbitrary computations and attention provides writable memory. The author built a compiler that generates Llama weights to execute programs without training.
- Field
- training language models
- What they did
- Researchers demonstrated that large language models (transformers) are Turing-complete, meaning they can execute any computable algorithm because they have mechanisms for arbitrary computation and writable memory.
- Why it matters
- This was proven by creating a compiler that directly generates model weights to run programs without training, allowing the model's context to function as a data storage system.
#turing-complete#transformer#llm#compiler#memory
