DeepSeek's initial model release already included so-called "open weights" access to the underlying data representing the strength of the connections between the model's billions of simulated neurons. That kind of release allows end users to easily fine-tune those model parameters with additional training data for more targeted purposes.

Chinese startup DeepSeek will make its models' code publicly available, it said on Friday, doubling down on its commitment to open-source artificial intelligence.

DeepSeek is going to make five code repositories for its machine-learning software open-source next week in an effort to build "community-driven innovation" in artificial intelligence.